Top 10 Biggest Big Data Companies by Revenue

Everything about the big data market is big, especially the rate at which the market is growing. According to the Wikibon 2015 Big Data Market Shares report, big data market revenues grew by 22 percent last year alone. Here’s 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 ...

Data Science – The MUST KNOW to become a successful Data Scientist!

Data Science / Data Analytics / Business analytics is all about analyzing the data, which is getting generated through multiple sources. Sources range from traditional databases to satellite signals to sensors in Internet of Things, and the list will go ...

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 ...

Overview of HADOOP from its very Basic till a Career Path

That cute little yellow elephant that often pops up in your window is the symbol of a technology named as Hadoop. This is a java-based programming framework  which helps in processing large sets of data. Today with the rise of ...

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 ...

5 Big Data Trends Impacting Financial Institutions in 2016

The adoption of industry standards and more mature platforms will shift big data's focus from IT-driven infrastructure projects to business-driven data solutions. Those who adopt big data strategies early and aggressively will realize operational efficiencies and top-line growth. In 2016, we ...
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