Webinars

The Role of Spark in Developing Converged Data Applications
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Sep 30 2016 10am PT / 1pm ET

How Spark is Enabling the New Wave of Converged Applications

Apache Spark has become the de-facto compute engine of choice for data engineers, developers, and data scientists because of its ability to run multiple analytic workloads with a single compute engine. Spark is speeding up data pipeline development, enabling richer predictive analytics, and bringing a new class of applications to market.

However: Is Spark alone sufficient for developing converged applications? How can you speed up the development of applications which span across Spark and other frameworks such as Kafka, NoSQL databases, and more?

Join us to get answers to these questions. You will also:
  • Learn about critical requirements to enable enterprise-grade Spark applications
  • Hear about examples of leading-edge Spark applications and their architectures in industries like manufacturing, telecommunications, and hightech
  • See a demo of Spark Streaming with MapR Streams

Speakers

Carol McDonald
Solutions Architect

Balaji Mohanam
Product Manager
Accelerate Digital Transformation with Insight Platforms
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Oct 20 2016 10am PT / 1pm ET

Many organizations have invested in big data technologies such as Hadoop and Spark. But these investments only address how to gain deeper insights from more diverse data. They do not address how to create action from those insights.

Forrester has identified an emerging class of software—insight platforms—that combine data, analytics, and insight execution to drive action using a big data fabric.

In this webinar, our guest speaker, Forrester Research VP and Principal Analyst, Brian Hopkins, will:

  • Present Forrester's recent research on insight platforms and big data fabrics.
  • Provide strategies for getting more value from your big data investments.

MapR will share:

  • Examples of leading companies and best practices for creating modern applications.
  • How to combine analytics and operations to accelerate digital transformation and create competitive advantage.

Register now to learn how to accelerate your organization's digital transformation.

Speakers

Brian Hopkins
VP and Principal Analyst
Forrester Research

Jack Norris
SVP, Data & Applications
MapR
MapR 5.2: Getting More Value from the MapR Converged Community Edition
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On Demand

MapR 5.2: Getting More Value from the MapR Converged Community Edition

Thank you for using the MapR Converged Community Edition. We hope you have enjoyed great success with your big data projects with the MapR Platform.

Want even more? We recently released version 5.2 of the MapR Converged Data Platform with even more new features. You are welcome to deploy the free Community Edition of the MapR Converged Data Platform in a production environment and take advantage of the free community support. (Paid commercial support is also available.)

Please join us to learn about the recent developments during the past year in the MapR Community Edition. In this webinar, we will cover the following platform updates:

  • Taking cluster monitoring to the next level with the Spyglass Initiative
  • Real-time streaming with MapR Streams
  • MapR-DB JSON document database and application development with OJAI
  • Securing your data with access control expressions (ACEs)

We will also talk about how to upgrade your current version of Community Edition to the latest version. Take the next step in your big data journey with MapR.

Speakers

Ankur Desai
Sr. Manager, Platform and Products
MapR

Deborah Littlefield
Technical Curriculum Developer
MapR
How Xactly Built a Converged Data Platform with Hadoop, Spark, Solr and More
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On Demand

How to Build a Successful Big Data Infrastructure by Leveraging the Hadoop Ecosystem

Big data presents both enormous challenges and incredible opportunities for companies in today’s competitive environment. To deal with the rapid growth of global data, companies have turned to Hadoop to help them with performing real-time search, obtaining fast and efficient analytics, and predicting behaviors and trends. In this session, we’ll demonstrate how we successfully leveraged Hadoop and its ecosystem components to build a big data infrastructure to meet these needs.

During this session, we will discuss:

  • Tips for building an effective data pipeline/li>
  • How we created a benchmarking product using Apache Spark and other components
  • How to apply data science techniques in memory for real-time web applications using Spark
  • The challenges in running Spark in production
  • How we use Hadoop, Kafka, and Solr to provide real-time search

Speakers

Steve Wooledge
VP of Product and Digital
MapR

Kandarp Desai
Director of Engineering
Xactly Corp
Development with JSON and MapR-DB
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On Demand

NoSQL Application Development with JSON and MapR-DB

NoSQL databases are being used everywhere by startups and Global 2000 companies alike for data environments that require cost-effective scaling. These environments also typically need to represent data in a more flexible way than is practical with relational databases.

JSON is quickly becoming the de facto standard as a data model for NoSQL databases. But all databases don’t handle JSON the same way. “Bolted-on” JSON support at the API level can present challenges in production environments that you never would have expected during development.

Please join our 45-minute webinar on JSON application development to learn:

  1. Why JSON is an ideal data model for many data types today
  2. What it means to have native JSON support
  3. What else to consider in a JSON document database

You’ll also get to watch a live demo that shows how easy it is to work with JSON and MapR-DB.

Speakers

Dale Kim
Sr. Director, Industry Solutions
MapR Technologies

Tugdual Grall
Technical Evangelist
MapR Technologies
MapR Product Update: Spyglass and More
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On Demand

MapR 5.2 is Here

With the general availability of the MapR Converged Data Platform 5.2, we’d like to invite our customers and partners to this webinar in which members of the MapR product team will share details about this exciting new release.

In this webinar, we’ll cover:

  • A quick overview of the new Spyglass Initiative, set out to increase user/operator productivity over the next few product releases
  • Architecture and capabilities in the first phase of Spyglass
  • The new MapR Ecosystem Pack (MEP) program
  • A quick overview of the newly launched MapR Exchange, a great place for big data professionals to share code, videos, dashboards, and more. The Exchange is part of the MapR Converge Community for all to join and learn more about MapR and big data.
  • Major ecosystem updates

We look forward to having you join us for this webinar!

Speakers

Dale Kim
Sr. Director, Product Marketing
MapR

Anoop Dawar
Vice President, Product Management
MapR
Best Practices for Protecting Sensitive Data across Big Data Platform
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On Demand

Join MapR and Dataguise webinar for best practices in achieving performance, reliability and protection of sensitive data in your big data deployments.

This session will cover:

  • How to automatically detect sensitive data in your big data deployment Who has access to this sensitive data
  • How can you securely share your big data for maximum leverage
  • How you can monitor the effectiveness of your governance policies
Streaming Analytics: Best Practices for Getting Started
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On Demand

Stream processing and analytics technologies provide opportunities for value creation including stream monitoring and alerting, operationalizing models in streams, and enriching stream data with other data to derive actionable insights in real-time. Join a lively panel of experts including representatives from MapR and SAP to discuss best practices for streaming analytics.

Topics include:

  1. An overview of streaming analytics – how does it work?
  2. Stream integration
  3. Analytics on streams
  4. Instantiating models into streams…. And more

TDWI Speaker: Fern Halper TDWI Director
TDWI Speaker: David Loshin, President of Knowledge Integrity
Putting Apache Drill to Use: Best Practices for Production Deployments
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On Demand

Lessons Learned from Putting Apache Drill into Production

Apache Drill is paving the next wave of self-service analytics by enabling exploration of complex datasets on the fly with low latency and at petabyte scale. It’s no wonder that customers such as Cardlytics, Transunion, and Valence Health have made Apache Drill central to their big data analytics initiatives.

How are these customers getting the most value from Apache Drill? How are they thinking about storage format selection, picking the right data layout for optimal performance, and data model trade-offs?

Join this session on July 27th and hear from Neeraja Rentachintala, Sr Director of Product Management for SQL-on-Hadoop and analytics initiatives at MapR, and Aman Sinha, Lead Software Engineer on the Drill team at MapR, as they examine Apache Drill best practices and use cases.

Watch this webinar to learn:

  • What the new capabilities in Apache Drill are, such as the JSON document plugin for MapR-DB
  • How customers such as Cardlytics are running Apache Drill at scale
  • Best practices and guidelines for data layout, tuning queries for performance, security, and other topics

Speakers

Neeraja Rentachintala
Sr. Director of Product Management
MapR

Aman Sinha
Lead Software Engineer
MapR
When Streaming Becomes Strategic
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On Demand

When Streaming Becomes Strategic

Your business is generating more data than ever before, whether it’s a social interaction, machine-generated data, or a customer transaction. However, this data is created one event at a time. How can you understand the meaning and context of these events that ultimately define your business?

Fortunately, we’re in the midst of an exciting paradigm shift in terms of how we process events data in real time. With the advent of new event streaming systems such as Apache Kafka and MapR Streams, and stream processing engines such as Spark Streaming and Apache Flink, you now have the ability to process and analyze data as it’s produced. In this webinar, you’ll learn how you can use an in-platform streaming system to immediately act on these real-time insights and make better decisions.

Join us for this complimentary webinar with industry thought leader, Robin Bloor, to hear about:

Spark ML Tutorial Webinar for Free Code Friday
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On Demand

Spark’s machine learning (ML) library goal is to make practical machine learning scalable and easy. Decision trees are widely used for the machine learning tasks of classification and regression.

In this Free Code Friday post, I’ll give an overview of machine learning with Apache Spark’s MLlib, and I'll show you how to use decision trees to predict flight delays.

We'll go over:

  • An overview of machine learning with Apache Spark MLlib
  • A machine learning classification workflow
  • Predicting flight delays with Apache Spark MLlib decision trees

Related Blog Post: Apache Spark Machine Learning Tutorial

Presenter:
Carol McDonald
SOLUTIONS ARCHITECT, MAPR

Carol has extensive experience as a developer and architect building complex mission critical applications in the Banking, Health insurance and Telecom Industries. As a Java Technology Evangelist at Sun Microsystems, Carol traveled all over the world speaking at Sun Tech Days, JUGs, Companies, and Conferences. She is a recognized speaker in Java communities.

Join the Conversation about Securing Big Data
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On Demand

Join the Conversation about Securing Big Data

In his new book “Six Elements of Securing Big Data” security expert and thought leader Davi Ottenheimer outlines the major challenges of securing big data systems and applications

Covering topics from access control to establishing updated security policies for the big data era, Davi will speak with MapR security and governance experts about his structured approach to big data security.

The six elements of big data security as outlined in Davi’s new book are:

  • Network and Systems Security
  • Data Protection
  • Vulnerability Management
  • Access Control
  • Security Monitoring
  • Security Policies

To learn more about securing big data and how this is reflected in the MapR Converged Data Platform, please join us for this highly informative and entertaining event.

About the Author: Davi Ottenheimer is a rare personality in the security space. With a wealth of practical experience and a client list that spans numerous industries and leading Silicon Valley tech firms, Davi is never shy of taking on controversial topics and providing illustrative anecdotes to make cyber security come to life.

Internet of Things in the Automotive World
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On Demand

Automobiles of the past have been merely a means of transportation, but the future for automobiles lies in the world of connected devices. In fact, Gartner predicts that by 2020, more than 250 million vehicles will be connected globally. The connectivity of these devices is the next step towards building smart automobiles.

A lot of research is being conducted in the domain of ADAS (Advance Driver Assistance Systems) and connected cars (i.e., V2V - Vehicle to Vehicle or V2I - Vehicle to Infrastructure) as well as infotainment systems. Advances in these fields of research are rapidly moving the automotive world from a manufacturer-driven industry to a consumer-driven one.

Watch this webinar—even if you are not in the automotive industry—to get inspired and learn how you can transform your business by leveraging IoT.

How to Build a Successful Data Lake
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On Demand

Big Data brings unprecedented levels of insight and efficiency to everything from working with data to working with customers to curing cancer. To get real ROI from big Data, enterprises are building data lakes, which bridge the gap between enterprise data warehouses, and the freewheeling culture of modern Internet companies.

In this webinar, Dale Kim of MapR Technologies and Alex Gorelik of Waterline Data (and author of the forthcoming O’Reilly book, The Enterprise Big Data Lake) will discuss key topics that any enterprise should understand when pursuing a data lake deployment.

Topics include:

  • The new necessary capabilities of a data lake: cost-effective scalable storage and computing; cost-effective data access and governance; and tiered, governed access
  • How to start and grow a data lake, including data warehouse offloading, analytical sandboxes, and “data puddles”
  • Setting up different tiers of data: from raw, untreated landing areas to carefully managed and summarized data
  • How to enable self-service to help users find, understand, and provision data and provide different interfaces to users with different skill levels
  • Staying in compliance with enterprise data-governance policies
Get Real-Time Applications
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On Demand

Tugdual Grall, Chief Technical Evangelist will present on MapR Streams, a reliable, global event streaming system that connects data producers and data consumers across shared topics of information.

Join us on May 19th to learn how to transform your business from a data-deluged organization to a data-driven one.

The Quantium Story: New Approach to Data Analytics
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On Demand

Hear how Australian-based data analytics firm Quantium—whose customers include Australia's largest companies, such as Woolworths, National Australia Bank, and Foxtel—uses Cisco Unified Computing System (Cisco UCS) and the MapR Converged Data Platform to revolutionize its analytics approach and expand its footprint into new market segments.

Plus, see how Quantium is able to shorten development time for new services at a reduced cost and create a strong competitive advantage.

Join our valued customers to learn:

  • How the onslaught of mobile apps are impacting analytics platforms
  • Where the big data and analytics market is heading
  • Why the right infrastructure and data platform are essential for success
How Amex's BI Leader Scaled BI for Big Data
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On Demand

This session features Amex's' VP of Credit and Operational Risk BI, Bryan Harrison. At Amex, Bryan's BI team does risk and fraud analytics on billions of daily transactions to protect the business and its customers.

How do you give a 1000's of analysts access to big data from tools they already love and use --- like Tableau and Excel --- to do critical, real-time analytics?

  • No more data movement - Maintain data fidelity
  • No more pre-aggregation - Get nimble, move faster
  • No more build and refresh on cubes - Save time & resources

In this recorded session, Bryan shares best practices to achieve BI nirvana

SQL-on-Hadoop with Apache Drill
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On Demand

The release of Apache Drill gives you SQL on Hadoop, but with some big differences. The biggest difference is that Drill extends ANSI SQL from a strongly typed language to also a late binding language without losing performance. This allows Drill to process complex structured data in addition to relational data. By dynamically generating a schema at read time that matches the data types and structures observed in the data, Drill gives you both self-service agility and speed.

Drill also introduces a view-based security model that uses file system permissions to control access to data at an extremely fine-grained level that makes secure access easy to control. These extensions have huge practical impact when it comes to writing real applications.

Join us on March 31 at 10am GMT / 11am CET. Tug Grall, Technical Evangelist, will give several practical examples of how Drill makes it easier to analyze data, using SQL in your Java application with a simple JDBC driver.

Driving Better Business Benefits with Hadoop: A Comprehensive Platform Approach
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On Demand

Recent research* by IDC shows that big data ROI is for real, and it can be huge, at an average of 382% 3-year ROI for the organizations that were studied.

In this webinar, Carl Olofson, Research Vice President, Data Management Software Research for IDC, will share his findings on nine MapR customers and discuss:

  • The business value they gained from their big data deployments
  • An average of 42% reduction in cost over alternative big data systems
  • 31% higher productivity for data scientists
  • 39% increased productivity for application developers

Dale Kim, Sr. Director of Industry Solutions at MapR Technologies, will then briefly follow up on how the MapR Converged Data Platform advantages drive significant ROI for customers.

*Research comes from IDC Document #US40870615

Are You Ready for Hadoop? Introducing the TDWI Hadoop Readiness Assessment
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On Demand

Join this roundtable webinar to learn more about the TDWI Hadoop Readiness Assessment and hear some preliminary results from the data gathered by the online tool. Co-authors Philip Russom and Fern Halper will lead a lively discussion with the sponsors of the assessment tool and get their take on Hadoop adoption.

You will learn:

  • The keys to success for Hadoop readiness
  • Hadoop readiness patterns
  • Where organizations are in terms of readiness
  • Best practices for moving ahead with Hadoop
The Big Data Blender: Converging Hadoop, Spark, Streaming, and more
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On Demand

The growing number and variety of big data technologies is rewriting the book on enterprise application development and deployment. Which tools are right for the job and where do they fit in your data pipeline? Can your traditional data-at-rest analytics tango with new data-in-motion technologies? How much effort are you expending integrating open source technologies into a coherent application platform?

Listen in on March 9, as leading analyst firm 451 Research shares insights on converged systems, where NoSQL databases and SQL are combined with data grid/cache technologies, Hadoop, Spark, and event-processing technologies. In this session, you will:

  • See what types of business applications are being developed using these technologies
  • Learn how businesses gain significant ROI with a converged data platform
  • Understand the requirements of managing the increasing volume and variety of modern data sources
Converging Data in Motion with Data at Rest
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On Demand

Converging Data in Motion with Data at RestA Gartner Webcast with Merv Adrian

In the early days of Hadoop and big data, the initial impulse was to store any and all data and then run analytics against that data-at-rest. Today, an increasing proportion of data is flying in from smart vehicles, factory floors and social networks; an Internet of Things creating an abundance of data-in-motion.

But how can businesses effectively gain insights from data-in-motion? How can that data be used for competitive advantage? How will data-in-motion and data-at-rest coexist in the enterprise?

In this program, these questions will be addressed by Gartner Research VP Merv Adrian, industry experts from MapR, and MapR customer Liaison Technologies.

Self-Service Analytics: The Bar is Rising
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On Demand

Self-service data exploration has been the rage in the business intelligence world during the last few years. The adoption of tools such as Tableau and Qlikview is evidence that self-service data exploration is here to stay.

Hadoop and NoSQL systems continue to get more adoption with the growth in the variety of data formats and types such as JSON. How does this impact self-service data exploration and analytics? Are you prepared for this next phase?

Attend this webinar to hear from Rick van der Lans, a well-known industry expert and independent analyst in the database and analytics market. Rick will talk about the latest trends in business intelligence and self-service data exploration and how you can get ready for this. You’ll also get to learn about the new capabilities in Apache Drill and how MapR customers are enabling self-service data exploration from their big data assets. You’ll come away with knowing how to:

  • Enable faster exploration of structured and semi-structured data
  • Reuse your existing investments in BI and visualization tools
  • Improve data agility with reduced IT dependency
Full Stream Ahead: How to Get Real-Time Data Applications
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On Demand

We're introducing MapR Streams, a reliable, global event streaming system that connects data producers and data consumers across shared topics of information. With the integration of MapR Streams, comes the industry’s first and only converged data platform that integrates file, database, event streaming, and analytics to accelerate data-driven applications and address emerging IoT needs.

Are you ready to accelerate your business with the power of a truly global platform for integrating data-in-motion with data-at-rest?

Watch this webinar to learn how to transform your business from a data-deluged organization to a data-driven one.

Practical Approaches to Recommendation Engines
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On Demand

Paying attention to what customers want and using that knowledge to personalize their experience is one of the most effective ways to build and maintain a successful business. Thanks to big data approaches and the right technology, you can do this en masse – that’s what a recommendation engine does for you.

Whether you are just getting started with recommendation or you work with a team of experienced data scientists, there are several common themes in recommendation that are worth paying attention to, and the good news is, you don’t have to be an expert to understand them.

In this webinar on November 4, 2015 at 11:30 AM PT/2:30 PM ET, we combine a range of different backgrounds to bring you a fresh view on how to build powerful recommenders that meet practical business goals. You’ll hear the key factors to consider, a choice of tools, how to best fit the approach to your particular situation and hear real world use cases. Register now to hold your spot.

Data Lake Principles & Economics
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On Demand

Without design principles, swimming in circles in a big data lake can make your arms tired. Fortunately, the data lake concept has evolved sufficiently that best practices have emerged. In an open discussion, these big data experts will shed light on how a data lake changes the data storage, data processing, and analytic workflows in data management architectures. This session explains design principles that—done right—will increase the success of your data lake. Always with an eye on costs, we will discuss recently published research from TDWI on Data Lake Principles and Economics.

Based on real data lake deployments you will learn:

  • The role of a data lake in a modern data architecture
  • Data lake use cases—some that will surprise you
  • The 10 checklist items essential for evaluating your data lake strategy
Making the Most of Big Data with Advanced Analytics
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On Demand

To rise to the opportunities of Big Data – and meet the IT challenges it presents – companies like yours need to stay on the cutting edge of database technology and support mission-critical business intelligence, analytics, and data warehousing. Likely you're faced with enabling high performance and scalability in a cost-effective manner – no easy feat with the most typical file systems.

Teaming together, MapR and SAP conducted tests to demonstrate the high-speed performance of using SAP Lumira and the MapR data platform in conjunction with each other.

Join this webinar to:

  • Discover why Hadoop is the ideal platform for SAP Analytics
  • Find out system architecture configuration details
  • Learn how you'll realize significant cost savings over traditional network attached storage systems
  • Watch a demo of the SAP and MapR solution
Give Your Enterprise a Spark: How to Deploy Hadoop with Spark in Production
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On Demand

How are leading enterprises deploying Hadoop with Spark in production? What key considerations should you consider to put your Spark-based innovative app to work faster? 

In this webinar on October 8th at 10 am PT/1 pm ET, you'll hear real-life examples of companies turning data into action using Spark and Hadoop. Register now to learn:

  • What key issues to plan for when deploying Hadoop and Spark
  • How advanced users are deploying Hadoop and Spark applications in one cluster with better reliability and performance
  • How to take advantage of Attunity's Big Data software solutions while using Spark on MapR
Full Speed Ahead: Hadoop and Spark for Big Data Applications
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On Demand

Mission-critical systems are pretty needy. They require capabilities such as high availability, disaster recovery, multi-tenancy and resource management to power data applications without fail and meet business service level agreements. Many organizations have found that Hadoop, especially when combined with tools like YARN and Spark, provide the ideal backbone for a big data application platform.

Register for this episode of The Briefing Room to hear veteran Analyst John Myers as he explains the increasing array of Apache Hadoop components and functionality available today. He’ll be briefed by Sameer Nori of MapR, who will discuss how the MapR Distribution for Hadoop delivers open source innovations with enterprise capabilities to create a high performance platform for big data applications. He’ll show how MapR customers are leveraging this combination to run a variety of use cases on the same platform in order to increase revenue, reduce risk and lower cost.

Achieving Actionable Insights from Big Data
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On Demand

Companies who harness and analyze data from transactional systems, social media, and other diverse sources to find valuable insights are more likely to outpace the competition. Yet leveraging big data assets, such as Hadoop, can be challenging. Modern data visualization solutions are helping companies overcome those challenges and present new opportunities for business optimization.

Join TIBCO Spotfire, MapR, and Syntelli Solutions to learn how to:

  • Easily access and analyze Hadoop data
  • Blend Hadoop with RDBMS data, social media, and other sources for improved insights
  • Distribute key metrics throughout your organization for actionable collaboration
  • Interactively blend and explore your data for breakthrough insights
How to Enhance Traditional Security Controls to Guard Against Big Data Breaches
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On Demand

We hear it in the news more often than we should – data breaches are still occurring in spite of all the existing traditional security controls most companies have in place. How can you enhance – not replace – traditional security controls to enable your business to better protect sensitive or regulated data in a way that’s both efficient and cost-effective?

Join Les McMonagle, Director of Data Security Solutions at Protegrity, and Mitesh Shah, Product Manager of Security & Data Governance at MapR, to hear examples of how to guard against (big) data breaches and minimize their impact. You’ll learn:

  • The importance of access control, and how not all access control mechanisms are created equal
  • Pros and cons of data protection options, such as tokenization, encryption, and masking
  • How Protegrity’s vaultless tokenization complements MapR’s native security capabilities for unprecedented level of protection
When is the Right Time for Real-Time? Architectural Best Practices for Hadoop
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On Demand

Real-time processing is an important part of your Hadoop architecture, but is it always the best approach to data-driven applications? The reality is that there are a host of situations where real-time not only costs your business unnecessary time and effort, but can also produce erroneous results. Join the experts from MapR and ThinkBig as they delve into the decision making process around Hadoop real-time and batch processes. You will learn the ins and outs of low-latency design for analytics, as well as see how these designs get implemented in the real world.

This one hour webinar is offered by Data Science Central, and is recommended for anyone working with Hadoop. Key takeaways include:

  • Useful design patterns for building your Hadoop stack that best serves low-latency requirements
  • Pitfalls to avoid when choosing your real-time processing option – sometimes batch is the right solution
  • Real customer examples highlighting the decision-making process for both real-time and batch processing
Best Practices to Deploy a Governed Data Lake
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On Demand

As companies seek to achieve business value from big data via exploratory analytics, the business wants agility to access and explore the data. But agility can turn into chaos if the need for self-service to data isn't balanced with the data security and data governance. It’s not enough to simply load data in Hadoop and put self-service tools in the hands of users – you must consider your data governance and security policies as well. Access permissions and regulatory compliance demand confidentiality safeguards on sensitive data such as personally identifiable information. Sensitive data going into Hadoop must be identified and protected before users can access it.

In this webinar, Dale Kim from MapR and Oliver Claude from Waterline Data will offer a best-practice approach to deploy a governed data lake. We’ll discuss:

  • Automatically discovering business and compliance metadata, audit history and data lineage to achieve compliance.
  • Building automated field-level metadata discovery and business glossary.
  • How to ensure field-level data quality.
  • Protecting data with authentication, authorization and encryption security features.
  • Preparing for auditing by logging all actions, including data access, in your system.
Easy, Real-time Access to Data with Apache Drill
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On Demand

Hadoop is a powerful and cost-effective framework for processing large data sets — but how do you get self-service, real-time access to your data? Leveraging an SQL-on-Hadoop engine and BI tools gives the everyday user access to valuable data without relying on having in-depth knowledge of technical application programming interfaces. Apache Drill is a new project which makes SQL on modern data structures in Hadoop, NoSQL, and more easier than ever.

In this panel discussion, Matt Aslett from 451 Research with an end-user and the Apache Drill architect, will explore the major role SQL-on-Hadoop technologies play in organizations and cover real implementation stories. Register to learn:

Key benefits and use cases for Apache Drill and other SQL approaches
  • Challenges in designing and delivering SQL-on-Hadoop
  • The future of Drill — an architect's perspective on what's next
  • Survive Hadoop Go-Live: Achieving Security, Compliance, and Business Needs
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    On Demand

    Hadoop is becoming a cornerstone of IT environments and rapidly moving to full production. With high-value data being stored and processed within Hadoop, it’s critical to ensure environments and data are secure and meet compliance requirements such as SOX, PCI and HIPAA - before they are moved to production.

    Get insights on securing the Hadoop infrastructure, as well as the data in Hadoop. Explore business considerations such as accelerating deployment, leveraging existing Active Directory-based authentication and simplifying access with single-sign-on for business and privileged users.

    Attendees will learn about:

    • New security challenges of Big Data
    • Extending Active Directory’s Kerberos and LDAP capabilities to Hadoop clusters
    • Enabling MapR distribution to run in secure mode
    • Enforcing least privilege policies and eliminate the use of root privileges
    • User activity auditing with logs and correlation of activity across the cluster
    • Health Check services for security and compliance

    Operational Intelligence: Informing Decisions with the Power of Hadoop...and Making Them
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    On Demand

    Neil Raden of HiredBrains, and Dale Kim of MapR Technologies give an overview of innovations in operational intelligence. Operational intelligence is about understanding what is happening in real time or near real time, and using information to take appropriate action immediately. With the massive volumes of typically created in business operations, only recently has technology gotten to a point where the economics make sense. Emerging technologies like Apache Hadoop have helped with large scale analysis of web logs, social media sentiment, sensor data, user actions, and other data sources in industries such as commerce, healthcare, and government.

    In this webinar, we will discuss:

    - How analytical and operational intelligence patterns have evolved over the years
    - How different solution templates can apply to your organization
    - How technologies like Apache Hadoop can help in your operational intelligence objectives

    Credit Suisse 4th Annual Disruptive Tech Conference
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    John Schroeder, CEO and co-founder of MapR Technologies, presented at the Credit Suisse 4th Annual Disruptive Tech Conference on Wednesday, May 13. Register to hear an audio webcast of the presentation.

    Genome Sequencing and Big Data: What You Need to Know
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    On Demand

    This is an exciting time for those who work in clinical genomics, as the genomics sequencing market is experiencing exponential growth. However, this growth brings new challenges, especially in terms of how to properly manage the massive amount of sequenced human genome data.

    Things covered in this recorded webinar are:
    - Why Hadoop is the ideal platform for genomics workflow processing
    - The benefits of moving from academic-style projects to more commercial platforms in order to achieve scale and economics
    - Why the unique capabilities of MapR make it the best solution for data processing and analytics in genomics

    Join Dr Allen Day, Chief Data Scientist, and Dale Kim, Director of Industry Solutions at MapR for this conversational webinar that will cover the intersection of genome sequencing and big data.

    Beyond Batch Hadoop: Operational and Real-Time
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    Buyers and practitioners in the data market have faced a choice: work with Big Data and tolerate the latency of batch mode processing, or work interactively with relatively small data sets.

    There are technologies available for both use cases. Hadoop has excelled at storing huge volumes of data cheaply and processing it with the batch-oriented MapReduce algorithm. Relational databases work interactively, but on smaller data volumes with more expensive storage economics.

    Register for this conversational webinar with MapR CMO Jack Norris and Manny Puentes, CTO of Altitude Digital, moderated by Andrew Brust, expert analyst in Big Data and analytics.

    Security Analytics and Big Data: What You Need to Know
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    The groundbreaking research report on the Evolution of Data Driven Security from leading IT analyst firm Enterprise Management Associates (EMA) revealed that security analytics is a rapidly growing area of interest for security technology and solutions. Join David Monahan, research director for security and risk management at EMA, Sameer Nori, senior product marketing manager at MapR Technologies, and Nick Amato, director technical marketing at MapR Technologies, for this conversational webinar that will cover the convergence of security analytics and big data.

    Attend this webinar to:
    - Discover market trends driving organizations towards security analytics
    - Understand how security analytics differs from Security Information and Event Management (SIEM)
    - Learn how techniques such as machine learning are enabling advanced security analytics
    - See a demo of the MapR Security Log Analytics Quick Start Solution

    Hadoop and Your Enterprise Data Warehouse
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    On Demand

    With a flourishing ecosystem and stake at the center of how organizations are consuming and leveraging big data, the role of Hadoop in the enterprise continues to evolve. From offloading to preprocessing, Hadoop is not only enabling the analysis of new data sources; it is changing the value equation of maintaining an active archive containing all of your data.

    At the same time, the enterprise data warehouse is not going anywhere. With over three decades of investment and development, and sophisticated BI tools for business users, the data warehouse is here to stay as your source of integrated data.

    The future of both platforms boils down to when to use which, and how to use both effectively to expand your analytical capabilities. To shed light on this topic, MapR Technologies with RedPoint Global Inc. and Attunity, will participate in a roundtable webcast hosted by Database Trends and Applications to discuss:
    - When to use your data warehouse
    - When to use Hadoop
    - The advantage of using both in your information supply system
    - The key strategies for success

    Apache Drill: Introduction, Differentiation and Use Cases
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    10:00 AM Pacific | 1:00 PM Eastern

    Apache Drill is a distributed system that delivers interactive analysis of large-scale datasets on Hadoop, using familiar ANSI SQL semantics. Apache Drill provides unique value in providing data exploration capabilities without the need for centralized schemas - allowing you to run SQL queries instantly on new or complex data formats including JSON and HBase tables.

    This webinar provides:

    • A quick introduction to Drill
    • Key differentiation for SQL Specialists and Business Analysts
    • Discusses the new Hadoop use cases being uncovered during beta

    You will also see how easy it is to get started with Drill or to hook-up Drill to existing BI platforms. Register now and join us on February 24th!

    Enterprise Fraud Management Solutions: Applying Big Data Analytics to Financial Services
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    On Demand

    Join MapR and Skytree for a webinar to learn about the impact of big data on the detection and prevention of fraud for financial institutions. Learn about critical risk management imperatives facing financial service organizations that include detection and prevention of fraud, credit card theft and data breaches. This webinar will help you understand how the use of big data is helping institutions move from fraud analysis to "fraud prevention" with better data and predictive analytic tools for big data in real time.

    Hadoop in 2015: Keys to Achieving Operational Excellence for the Real-Time Enterprise
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    In this webinar, Carl W. Olofson, Research Vice President, Application Development and Deployment for IDC, and Dale Kim, Director of Industry Solutions for MapR, will provide an insightful outlook for Hadoop in 2015, and will outline why enterprises should consider using Hadoop as a "Decision Data Platform" and how it can function as a single platform for both online transaction processing (OLTP) and real-time analytics.

    Gartner: Best Practices for Building an Enterprise Data Hub
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    On Demand

    These days, businesses are facing three critical big data challenges: overflowing data warehouses, rapidly expanding data sources, and growing infrastructure expenditures. In order to combat these mounting pressures, businesses are turning to enterprise data hubs as a way to optimize their enterprise architectures.

    This video presents key considerations you need to keep in mind in order to successfully build out an enterprise data hub. Learn how to choose the right hardware, foundational software, and other technologies that will ensure your enterprise data hub will smoothly work within your existing architecture.

    Selecting the Right SQL-on-Hadoop Solution: What You Need to Know
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    On Demand

    In the crowded SQL-on-Hadoop market, choosing the right solution for your business can be difficult. In this webinar, learn firsthand from Rick van der Lans, independent analyst and managing director of R20/Consultancy, how to sort through this market complexity and what tough questions to ask when evaluating perspective SQL-on-Hadoop solutions.

    Future of Hadoop Analytics: Total Data Warehouses and Self-Service Data Exploration
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    On Demand

    Watch this webinar for an in-depth look at the future of data warehouses and how SQL-on-Hadoop technologies play a pivotal role in those settings. Matt Aslett, Research Director for 451 Research, will be joined by Apache Drill architect Jacques Nadeau to discuss what lies ahead for enterprise data warehouse architects and BI users in 2015 and beyond.

    Data Infrastructure for Effective Risk Management
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    On Demand

    Risk comes in a variety of forms including uncertainty in financial markets, legal liabilities, operational risk, fraud, and protection against external and internal attacks. Models are becoming increasingly granular and improving risk modeling is a high priority.

    Watch this webinar to learn how you can study months’ or years’ worth of raw data from disparate sources, without sampling, to understand and reduce risk.

    Best Practices for ETL/ELT Offload to Hadoop
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    On Demand

    In this 30-minute webinar, learn how to enable and simplify ETL and data warehouse offload to Hadoop for increased performance and significant cost savings.

    Reducing the Complexity and Costs of Data Warehouse Management
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    On Demand

    With shrinking IT budgets, and growing pressure to measure the value being delivered to the business, it’s critical to understand how data is used and what data is unused to be able to reduce the complexity and costs of data management.

    In this webinar, Appfluent and MapR will share how data usage analytics software can deliver deep-dive insight into data warehouse utilization, improve efficiency and help pave the way seamlessly towards complementary, economic architectures to take advantage of next-generation big data principles.

    Predictive Analytics with Machine Learning and Hadoop
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    On Demand

    Predicting failure in power networks, detecting fraudulent activities in payment card transactions, and identifying next logical products targeted at the right customer at the right time all require machine learning around massive data sets. This form of artificial intelligence requires complex self-learning algorithms, rapid data iteration for advanced analytics and a robust big data architecture that’s up to the task.

    Join Skytree and MapR for this recorded webinar to learn how you can quickly exploit your existing IT infrastructure and scale operations in line with your budget to enjoy advanced data modeling, without having to invest in a large data science team.

    How to Succeed in Hadoop: comScore’s Deceptively Simple Secrets to Deploying Hadoop for Deeper Consumer Insights
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    On Demand

    Get an insider's view into one of the most talked-about Hadoop deployments in the world.

    In this joint webinar with Syncsort, learn firsthand from industry thought leader, Mike Brown, CTO of comScore, how to offload critical data and optimize your enterprise data architecture with Hadoop to increase performance while lowering costs.

    Learn How to Overcome the Top 5 Challenges to Big Data Success
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    On Demand

    In this recorded webinar, hear about real world best practices in the five critical areas needed to turn your big data project into a success.

    You’ll also learn how to develop a “readiness scorecard” that can help you identify key success factors in your upcoming big data project rollout.

    Building a Business Case for SQL-on-Hadoop
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    On Demand

    Organizations need to derive business insights from an unprecedented volume and variety of data, while maximizing investments in existing SQL and business intelligence (BI) technologies.

    Join HP Vertica and MapR to learn how you can enjoy the benefits of a SQL-on-Hadoop analytics solution that provides the highest-performing, tightly-integrated platform for operational and exploratory analytics.

    Marketing Analytics Success Stories: Real World Tales from the Big Data Trenches
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    On Demand

    Join MapR and MicroStrategy as we take you on a journey from raw data to actionable insight with a focus on marketing analytics. In this recorded webinar, we explored how Hadoop can produce easily translatable and integrated data, how BI tools can transform data into insight, and how the next-generation analytics and data platform can help you derive intelligent answers to your most critical business questions.

    A Practical Approach to Machine Learning: Making Recommendation Easy
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    On Demand

    Join authors and Mahout committers, Ted Dunning and Ellen Friedman, for an informative webinar on machine learning, with a focus on making it easy to build a recommendation system. Hear a quick overview of the key design, explore next steps, and get tips for choosing the best data, asking the right questions, and putting together a team with the right resources.

    How to Avoid Pitfalls in Big Data Analytics
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    Big data analytics is revolutionizing the way businesses are collecting, storing, and more importantly, analyzing data. However, the adoption of a big data analytics solution has its share of failures and false starts. Datameer and MapR have worked with customers to identify and solve the common pitfalls organizations face when deploying Hadoop-based analytics. Watch this webinar to learn how to navigate the most common obstacles of big data analytics.

    Let Spark Fly: Advantages and Use Cases for Spark on Hadoop
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    On Demand

    Watch this webinar recording to hear MapR and Databricks uncover practical advantages for having the full set of Spark technologies at your disposal and reveal the benefits for running Spark on Hadoop.

    Fast and Furious: From POC to an Enterprise Big Data Stack in 2014
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    On Demand

    In this recorded webinar, CenturyLink Technology Solutions (Formerly Savvis) and MapR will deconstruct and demystify “the enterprise big data stack.” We will provide you with a more holistic view of the landscape, explore use cases to show how you can derive business value from it, and share best practices for navigating through the fragmented big data environment.

    Evolving Data Warehouse Architectures in the Age of Big Data Analytics
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    On Demand

    This webinar will accelerate your understanding of the many new data platforms and tools that are now available for multi-platform data warehouse environments, plus how these can fit together in an integrated architecture. The content of the webinar is based on the research findings of a new Best Practices Report by TDWI’s Philip Russom called Evolving Data Warehouse Architectures in the Age of Big Data Analytics.

    Hadoop in the Cloud: Unlocking the Potential of Big Data on AWS
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    On Demand

    In this recorded webinar, we show examples of how to use Amazon EMR with the MapR Distribution for Hadoop. You will learn how you can free yourself from the heavy lifting required to run Hadoop on-premise, and gain the advantages of using the cloud to increase flexibility and accelerate projects while lowering costs.

    Navigating Your Hadoop Journey
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    On Demand

    In this recorded webcast, Robert D. Schneider, author of Hadoop for Dummies, helps you navigate through the Hadoop hype.

    Watch this 30-minute video and get the critical information you need to help you choose the Hadoop distribution that is right for your business.

    Crowd Sourcing Reflected Intelligence Using Search and Big Data
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    On Demand

    Anyone interested in drawing insights from their Big Data repository/project/application should attend this informative webinar brought to you by MapR and LucidWorks.

    Ted Dunning, Chief Application Architect from MapR and Grant Ingersoll, Chief Scientist of LucidWorks, will show the strengths of combining the easiest, most dependable and fastest distribution for Hadoop with the real-time, ad hoc data accessibility of LucidWorks Search to provide analytic capabilities along with scalable machine learning algorithms for deeper insight into both content and user behavior.

    Hadoop's Journey: The Modern Data Architecture
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    On Demand

    Hadoop has been a phenomenon, as a framework for big data and workloads and its operational capabilities.

    Major initiatives brought Hadoop from its batch-oriented roots to the interactive capabilities that are delivering improved performance in SQL engines and with distributed in-memory engines. Operational analytics are leading the way as "one of the first" steps towards operationalizing Hadoop as a platform. There are core data management principles that will guide Hadoop adoption, however, there is also a change in mindset needed to rethink the role of Hadoop beyond a big data and analytic platform.

    In this webinar, John O’Brien, CEO of Radiant Advisors, and Dale Kim, Director of Industry Solutions, at MapR Technologies, will discuss the emergence of Hadoop as an operational data platform and how complementary data strategies and year-over-year adoption can accelerate consolidation and business value in agility and reduced development efforts.