Apache Spark & Scala Certification
The Apache Spark & Scala course will enable learners to understand how Spark facilitates in-memory data processing, helps in NRT analytics while running much faster than Hadoop MapReduce. Students will also learn about RDDs and different APIs and components which Spark offers such as Spark Streaming, MLlib, SparkSQL, and 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 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:
1. Big Data Professionals
2. Software Engineers and Software Developers
3. Data Scientists and Data Analysts
Why should you learn Spark?
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. 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, which makes it a preferred choice among developers for fast big data analysis.