Partner Solutions

Accelerate Digital Transformation with Insight Platforms

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.

Streaming Analytics: Best Practices for Getting Started

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:

Best Practices for Protecting Sensitive Data across Big Data Platform

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

Give Your Enterprise a Spark: How to Deploy Hadoop with Spark in Production

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:

How to Enhance Traditional Security Controls to Guard Against Big Data Breaches

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?

Data Infrastructure for Effective Risk Management

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.

Predictive Analytics with Machine Learning and Hadoop

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.


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