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MapR-Terasort Record MapR-Introducing M7 MapR on Google Compute Engine John Schroeder, at Google I/O
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Hadoop’s Power to Transform Business
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White Papers
MapR M7: Enterprise-grade Platform for NoSQL and Hadoop
NoSQL databases are a compelling alternative to relational databases because of their capability to store and process large amounts of loosely structured data at fast speeds. The cost effectiveness of such solutions and the proliferation of new data sources have led to widespread adoption of NoSQL.
MapR and LucidWorks: Crowd Sourcing Reflected Intelligence Using Search and Big Data
Search has evolved in recent years beyond keyword search into a more broadly applicable information discovery tool by using principles of reflected intelligence. Learn how several organizations combine big data, search and reflected intelligence to improve search results and decision-making, and how LucidWorks and MapR work together to make it possible for organizations to get started using reflected intelligence in their search applications.
Kusnetzky Group: MapR Technologies M7 Making Big Data Work for Everyone
Big Data is emerging as an important tool to help organizations learn more about their business operations, product performance, and customer purchasing behavior. It is misunderstood by the media making it difficult for organizations to determine if investing in this tool will bring results and make it possible to improve efficiency, bring out better products and services or better understand customer requirements.
Evaluator Group: Advancing Hadoop - MapR's M7 Edition
The number of enterprise-level deployments of Hadoop MapReduce is rising quickly, driven by a need to understand and potentially adopt this new business analytics platform for business applications. We note that pilot Hadoop projects are underway within many of the Fortune 1000 group of companies. Responding to this demand, the Hadoop ecosystem is now offering "enterprise" versions of Hadoop.
Intelligent Business Strategies: Offloading and Accelerating Data Warehouse ETL Processing Using Hadoop

Mike Ferguson, Managing Director of Intelligent Business Strategies and former Chief Architect at Teradata, discusses offloading of ETL processing to a much lower cost Hadoop platform where it can scale to manage increasing transaction volumes as well as integrate this data with new more complex high value data types like clickstream, and un-modelled multi-structured data. Hadoop can be used as a long term data store for Big Data as well as archived data warehouse data and as an analytical platform to handle workloads that are unlikely to be done in traditional data warehouses.
CITO Research: Choosing a Provider from the Hadoop Ecosystem

Enterprises are faced with new requirements for data. We now have big data that is different from the structured, cleansed corporate data repositories of the past. Before, we had to plan out structured queries. In the Hadoop world, we don’t have to sort data according to a predetermined schema when we collect it. We can store data as it arrives and decide what to do with it later. Today, there are different ways to analyze data collected in Hadoop—but which one is the best way forward?
Deploying Big Data with MapR and StackIQ

A Simplified, Automated Solution for Enterprise Hadoop from StackIQ and MapR.

As Big Data analysis continues to penetrate the enterprise, the requirement for true enterprise-ready solutions continues to grow. These systems must be reliable, robust, scalable, and manageable within the enterprise IT framework.
Evaluator Group: Evaluating Hadoop in the Data Center
What will make Hadoop an enterprise data center-grade analytics platform?
Quantifying the Value of MapR
MapR makes development, administration and end-user file access and insight much simpler and faster. Developed specifically for high availability and data protection, MapR provides assurance with 100% uptime for your business analytics process, recovery from user and application errors and strong protection against lost data.
The MapR Distribution for Apache Hadoop: Learn how MapR makes Hadoop Easy, Dependable and Fast.
High Availability in the Hadoop Ecosystem: MapR provides high availability with no single points of failure across the entire stack.
MapR White Paper: High Availability in the Hadoop Ecosystem
The MapR Distribution for Apache Hadoop provides high availability with no single points of failure across the entire stack. In the storage layer, MapR’s Distributed NameNode HATM architecture provides high availability with self-healing and support for multiple, simultaneous failures, with no additional hardware whatsoever.
Datasheets
MapR: M3 Edition
The M3 Edition is free and available for unlimited production use. Support is provided on a community basis and through MapR's Forums.
MapR: M5 Edition
The M5 Edition is an enterprise-grade platform for Hadoop which includes features such as Mirroring, Snapshots, NFS HA, data placement control, and many more. The M5 Edition also offers full support, on demand patches and online incident submission.

MapR: M7 Edition
The M7 Edition is an enterprise-grade platform for NoSQL and Hadoop, providing unique ease of use, dependability and performance advantages. M7 has removed the trade-offs organizations face when looking to deploy a NoSQL solution. M7 not only delivers enterprise-grade features such as Instant Recovery, Snapshots and Mirroring but also provides scale, strong consistency, reliability and continuous low latency.
Community Resources
MapR makes the world’s best distribution for Apache Hadoop. It is a complete distribution which is pre-tested, pre- integrated, hardened and includes Hive, Pig, Hbase™, Oozie, Sqoop, Flume, Mahout and a huge amount of innovative engineering that significantly moves Hadoop forward. In additon to access to the MapR Forum and Blog , MapR provides many resources and information to help you get the most out of your Hadoop investment.
Technical Briefs
MapR’s Direct Access NFS vs. Hadoop FUSE
The MapR Distribution for Apache Hadoop greatly enhances Hadoop through Direct Access NFS.
RHadoop and MapR
RHadoop is an open source collection of three R packages created by Revolution Analytics that allow users to manage and analyze data with Hadoop from an R environment. It allows data scientists familiar with R to quickly utilize the enterprise-grade capabilities of the MapR Hadoop distribution directly with the analytic capabilities of R.
Customer Case Studies
Digital Marketing Intelligence Provider
comScore uses Hadoop to process over 40 billion internet and mobile records per month providing syndicated and custom digital marketing intelligence. comScore switched to MapR from another Hadoop distribution due to MapR’s unique high availability features and greater performance and scalability.
Digital Advertising Auctions Platform
The Rubicon Project is an online advertising technology company that has surpassed Google in US audience reach. It provides real-time trading technology to its users and relies on Hadoop to store and analyze petabytes worth of data. MapR allows Rubicon – which has been involved with Hadoop for over four years - to run Hadoop cluster with just one dedicated administrator. Rubicon relies on MapR’s self healing HA, disaster recovery and advanced monitoring features.
Fortune 100 Firm: Data Warehouse Offload
A Fortune 100 firm saves millions of dollars per year by introducing Hadoop into its ETL workflow. The enterprise data warehouse team now pipes all of its data directly into Hadoop, runs the extraction and transformation on the data and then directly ingests query-ready data into its traditional repository. This customer has found tremendous storage cost savings and dramatic performance increases from MapR’s real-time data ingest.
Family History Service Provider
Ancestry.com switched to MapR from another Hadoop distribution for a more reliable infrastructure that also enables different development teams to access data directly over NFS and work on disparate tasks such as algorithm development and data mining. Ancestry.com’s latest service provides DNA processing and analyzing over large clusters of data to produce a DNA-based genealogy report.
International Electronics Manufacturer
A leading manufacturer processes and analyzes hundreds of terabytes of sensor data that is stored in very large number of small sized files. They also have a stringent high availability requirement of 99.99% uptime. MapR is the only distribution that meets their scalability and availability requirements.
Large HealthCare Organization
A large healthcare organizations collects petabytes of claims and treatment data. It plans to create a new data repository service for its enterprise customers who can leverage their own customer data and run expanded set of analytics. MapR is the only distribution that delivers on the multi-tenancy needs of this company by providing volume based isolated environment with quotas and secure access for the end users.
MapR and Boeing
Boeing, through its wholly-owned subsidiary Narus, selected MapR to augment its real-time classification of layer 4 and layer 7 vectors. Boeing’s real-time capture components generate approximately 2 TB of network vectors per day. With MapR, Boeing can expand the processing window to look at forensic data of network and study low volume patterns of behavior to stay ahead of threats.
Enterprise-grade platform for Display Advertising
Dotomi creates and delivers display advertising where the ad creatives and media placements are dynamically adapted in real time at the user and impression level. Dotomi has developed strategic, direct relationships with over 100 retail brands, including over forty brands from the Internet Retailer Top 100.