Apache Spark & Scala Certification
The course will enable learners to understand how Spark facilitates in-memory data processing. It helps in NRT (Near Real Time) analytics while running much faster than Hadoop MapReduce. Students will also learn about RDDs, different APIs and components which Spark offers such as Spark Streaming, MLlib, SparkSQL, GraphX.
About Apache Spark & Scala Training
Cognixia’s 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.
Who is this course for?
The primary beneficiary of this training can be someone who wishes to make a career in big data. someone who wants to be 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:
- Big Data Professionals
- Software Engineers and Software Developers
- Data Scientists and Data Analysts
Why should you learn Spark?
Apache Spark and Scala Certification is an integral certification for a developer to have. There is a high requirement of analyzing this data to gain business insights and devise consequential strategies in today’s data is growing world. Cognixia’s 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. This makes it a preferred choice among developers for fast big data analysis.