Course description
Apache Spark and Scala Certification Training
Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.
You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs Spark SQL for structured processing different APIs offered by Spark such as Spark Streaming Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume data loading using Sqoop messaging system like Kafka etc.
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Who should attend?
- There are no such prerequisites for our Spark and Scala Certification Training. However prior knowledge of Java Programming and SQL will be helpful but is not at all mandatory.
Training content
Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The Spark Scala Course offers:
- Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System) YARN (Yet Another Resource Negotiator)
- Comprehensive knowledge of various tools that fall in Spark Ecosystem like Spark SQL Spark MlLib Sqoop Kafka Flume and Spark Streaming
- The capability to ingest data in HDFS using Sqoop & Flume and analyze those large datasets stored in the HDFS
- The power of handling real time data feeds through a publish-subscribe messaging system like Kafka
- The exposure to many real-life industry-based projects which will be executed using Edureka’s Cloud Lab
- Projects which are diverse in nature covering banking telecommunication social media and government domains
- Rigorous involvement of a SME throughout the Spark Training to learn industry standards and best practices
Certification / Credits
Sucessfully complete your final course project and Edureka will certify you as a Apache Spark and Scala Developer.