Spark + Scala Certification Course Overview

Apache Spark is group registering system. Initially created at the University of California, Berkeley’s AMPLab, the Spark codebase was later given to the Apache Software Foundation, which has kept up it since. 

Start keeps running on Hadoop, Mesos, independent, or in the cloud. You can run Spark utilizing its independent group mode, on EC2, on Hadoop YARN, or on Apache Mesos. Access information in HDFS, Cassandra, HBase, Hive, Tachyon, and any Hadoop information source. 

Apache Spark is an open-source motor grew particularly to handle expansive scale information preparing and investigation. 

Start offers the capacity to get to information in an assortment of sources, including Hadoop Distributed File System (HDFS), OpenStack Swift, Amazon S3 and Cassandra. 

Businesses are utilizing Hadoop widely to break down their informational collections. The reason is that Hadoop system depends on a straightforward programming model (MapReduce) and it empowers a figuring arrangement that is versatile, adaptable, blame tolerant and financially savvy. Here, the primary concern is to keep up speed in preparing extensive datasets as far as holding up time amongst questions and holding up time to run the program.

Data Analytics Training Benefits

The data analytics certificate validates a professional’s abilities in following skills:

1. variable declaration on scala
2. control statements and loops in scala
3. oops concept in scala
4. spark core rdd concept
5. spark sql

   6.spark machine learning

Course Objectives:

Aiming to build our candidate a spark certified expert to analyze and store big data  , A spark Certified professional can also capacity to get to information in an assortment of sources, including Hadoop Distributed File System (HDFS).

This Course is Designed to Benefit the Following Professionals:

• Hadoop developers

• Hadoop admin

• Big Data Engineer

• Big Data Architect

Spark + Scala Syllabus

• Scala
• Spark
• RDD Fundamentals

• Spark SQL / Dataframes

• Spark Job Execution
• Spark Streaming
• Spark Mlib
• Spark GraphX