Statisticians, Mathematicians and Engineers are Part of HR: The Big Shift in HR is Here!

There is an epic shift happening in the HR industry. Talent management is getting replaced by the concept of People Management. Although talent scarcity is still an issue to ponder upon, engagement and empowerment have radically grown to become a point of concern. For over a decade, talent management strategies consumed all the efforts of […]

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Will Spark be able to Replace MapReduce

What is Apache Spark? Apache Spark is a framework for executing general data analytics over distributed system and computing clusters, for example Hadoop. Apache Spark does in-memory computations with higher speed, low latency data process on MapReduce. Apache Spark doesn’t replace Hadoop, rather it runs atop existing Hadoop cluster to access Hadoop Distributed File System. […]

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What is Google Cloud Dataflow?

Google Cloud Dataflow is a tool that lets you build pipelines, oversee their execution, and transform and change data, all within the cloud. The tool is a natural evolution of MapReduce, Google’s erstwhile programming paradigm. At present, Google places its servers in Cloud Dataflow. The tool in question facilitates companies that need solutions for large […]

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The Big Question of Big Data Schema

Every successive generation of technology brings with it something that remains unchanged: a better version of what we desire. On the same note, schema-on-read is a strategy that developed after schema-on-write couldn’t cope with the speed and variance at which big data can function. But are all new things better? First, let’s take a brief […]

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Apache Flink: Hadoop’s New Cousin

There’s a new kid on the block – Apache Flink. This new framework from the Apache Software Foundation does quite a few things differently: It puts continuous stream analytics, batch analytics, graph processing, and machine learning at the top of a streaming engine, natively. The conventional method has been to store some amount of a continuously-produced […]

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