A Beginner’s Guide To Big Data terminology

Data science can be confusing enough without all of the complicated lingo and jargon. For many, the terms NoSQL, DaaS and Neural Networking instill nothing more than the hesitant thought, “this sounds data-related.” It can be difficult to tell a ...

5 Enterprise Alternatives to Hadoop

Hadoop's progression from a large scale, batch oriented analytics tool to an ecosystem full of vendors, applications, tools and services has coincided with the rise of the big data market. While Hadoop has become almost synonymous with the market in which ...

5 Steps for Securing Your Data In Hadoop

Data security remains a top concern for data professionals. To help organizations put up a best defense, Reiner Kappenberger, senior executive focused on big data and Hadoop at HPE Seecurity-Data Security offers five steps on how to best secure data ...

30 Coolest Big Data Business Analytics Vendors

Working with big data remains one of the biggest IT challenges that businesses, government agencies and other organizations face today. It's also one of the biggest opportunities for IT vendors and for solution and strategic service providers. The big data ...

How is fault tolerance handled in Spark streaming?

Spark Streaming components Data model All data is modeled as RDDs, built by design with lineage of deterministic operations, i.e. any re-computation always leads to the same result. Essentially the same process (however with a different mechanism) as in Hadoop's fault-tolerance for ...

3 Steps to Better Hadoop Management

It makes sense to get excited about the possibilities afforded by Apache™ Hadoop® YARN-based applications such as Spark, Storm, Presto and others to provide substantial business value. However, the actual tasks of managing and maintaining the environment should not get ...

10 reasons why industries should use custom analytics applications

Analytics is a complex process of breaking down streams of data into its many components in order to find patterns, trends and correlations. The market place is full of analytics products and though most of them are good, they may ...
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