Description
Apache Spark 2.0 Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This course 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 GraphX, SparkSQL, messaging system like Kafka, etc.
Who this course is for:
- Developers and Architects
- BI /ETL/DW Professionals
- Senior IT Professionals
- Testing Professionals
- Mainframe Professionals
- Freshers
- Big Data Enthusiasts
- Software Architects, Engineers and Developers
- Data Scientists and Analytics Professionals
Requirements
- There are no such prerequisites for this Spark and Scala Training Course. However, prior knowledge of Core Java and SQL will be helpful but is not at all mandatory.
Last updated 8/2018
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Apache Spark 2.0 with Scala: A Big Data Framework.zip | Mirror [Size: 4.5 GB]
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Source: https://www.udemy.com/apache-spark-2-0-with-scala-a-big-data-framework/
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