Apache Spark & Scala Training helps participants develop an understanding of the Spark framework. The training will educate you on in-memory data processing of Spark, which makes it run much faster than Hadoop MapReduce. Spark & Scala Training helps you learn about RDDs and different APIs such as Spark Streaming, MLlib, SparkSQL, and GraphX. Apache Spark & Scala Training proves to be a significant contributor in a developer’s learning curve.
The primary beneficiary of this training can be someone who wishes to make a career in big data and wants to keep him or herself updated with the latest advancements in efficient processing of consistently growing data using Spark-related projects. The following professionals can reap the maximum benefits from this training:
Participants should understand the basic concepts of programming. Also, an understanding of Scala can prove to be helpful but is not mandatory.
Apache Spark and Scala Certification is an integral certification for a developer to have. In today’s world where data is growing at an unprecedented speed, there is a high requirement of analyzing this data to gain business insights and devise consequential strategies. Spark and Scala Certification will help you to comprehend the environment and its nuances with respect to several big data processing frameworks such as Hadoop, Spark, Storm, etc. Spark, however, has the capability of working a hundred times faster than Hadoop when it comes to streaming and processing data, which makes it a preferred choice among developers for fast big data analysis.
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