It is another processing layer like MapReduce. unlike the common myth, Apache Spark is never the replacement to Hadoop. It was designed and deployed as an upgrade to Apache Hadoop’s processing capabilities. To know more about the Spark importance in the current IT market, please go through this articleĪpache Spark is the Open-Source software utility by the Apache Foundation. Proportionately, the demand for Spark Developers is also visualizing a rapid rise. This gave a staggering edge to Spark to be the leading legend in the Production Environment with a massive surge in its demand.ĭue to its Outperformed Capabilities and reliability, Spark is preferred by many Top MNCs like Adobe, Yahoo, NASA and many more. The simple and faster programming interface of spark can support top-notch programming languages like Scala, Java and Python. Capable to perform in Production Environment.The lightning-fast performance due to its In-Memory Processing Capability brought Spark its place amongst the top-level Apache Projects. There is a lot of performance gap when it comes to deciding between MapReduce and Spark. Learning spark has become one of the global standards as there is an impeccable raise in the world of Big Data Analytics with Apache Spark standing by its side. Coupled with YARN, It can run on the same clusteralong the side of MapReduce Jobs. Spark can be directly integrated on to Hadoop’s HDFS and work as an excellent Data Processing Tool. Here are a few reasons for which the Spark is considered the most powerful Big Data tool. It is capable to deal with almost all types of data irrelevant to its structure and size with lightning speeds. Apache Spark Developer Roles and ResponsibilitiesĪpache spark is the multi-role jet fighter in combat with the colossal loads of Big-Data in Data Analytics.Road map to become Apache Spark Developer.Today, in this article, we will discuss how to become a successful Spark Developer through the docket below. This integrated part of Cloudera is the highest-paid and trending technology in the current IT market. Apache Spark is the most powerful, flexible, and a standard for in-memory data computation capable enough to perform Batch-Mode, Real-time and Analytics on the Hadoop Platform.
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