Top 5 Reasons To Learn Apache Spark


If you have been working in big data, then you might have known the importance of Spark. The spark is a cluster computing framework for data analytics. Spark can be used to handle almost all sorts of queries of all sorts of data types in a lightning fast speed. If you are new to spark, you may not know the myths and insights of learning apache spark. 

The following reasons will let you know the significance of learning apache spark.

Meet the Global Standards

Spark is the future of worldwide Big Data Processing. The standards of the big data analytics are immensely increasingly with spark. By taking part in the apache spark training in Bangalore, one can meet the global standards to make sure the compatibility between the next generations of spark applications and distributions. Spark remains a part of the developer community. The spark course will let you know the latest advancements in the spark.

Compatible With Hadoop

The compatibility level of spark and hadoop is good and convincing. Spark is design to run on the hadoop distributed file system. It can be straight-away got to work with MapR. It can run on HDFS, inside MapReduce. The spark project can even run on the same cluster alongside MapReduce jobs.

Spark is Highly Used in Production

The spark has been used in the production of many companies. The reason is that, open-source components, and an expanding community of users. The spark is familiar in big data masters program, as he ingrained high-performance tools handling distinct problems and workloads. We can say many reasons why the companies have to use spark, including speed and efficiency and ease of use to single integrated system for all data pipelines and more. spark remains the most active big data project, that is deployed in production by all the major Hadoop as well as non-Hadoop vendors.

Fading MapReduce and Sparking Spark

Spark is an in-memory data processing framework. Spark is all set to take up all the primary processing for Hadoop workloads in future. Spark is easier and faster to program while comparing to MapReduce. Spark is now among the top-level Apache projects. Matei Zaharia, CTO, Databricks and one of the brains behind Apache Spark project puts forth Spark as a multi-faceted query tool. Spark could help democratize the use of big data.

Huge Demand for Spark Professionals

Spark is a new and yet to be familiar on the big data market. Many top notch companies like NASA, Yahoo, and more are using spark. The demand for spark professionals are increasing like nothing, so learning spark course will never be a waste of time or money. So, take the spark training course and get a job in no time.

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