PySpark

PySpark Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.


Course Content:

Introduction to Big Data Hadoop and Spark
Introduction to Python for Apache Spark
Functions, OOPs, and Modules in Python
Deep Dive into Apache Spark Framework
Playing with Spark RDDs
DataFrames and Spark SQL
Machine Learning using Spark MLlib
Deep Dive into Spark MLlib
Understanding Apache Kafka and Apache Flume
Apache Spark Streaming - Processing Multiple Batches
Apache Spark Streaming - Data Sources

Apache Spark
Apache Spark and Scala Certification Training is designed to prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will get an in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX and Messaging System such as Kafka.

Course Content:

Introduction to Big Data Hadoop and Spark
Introduction to Scala for Apache Spark
Functional Programming and OOPs Concepts in Scala
Deep Dive into Apache Spark Framework
Playing with Spark RDDs
DataFrames and Spark SQL
Machine Learning using Spark MLlib
Deep Dive into Spark MLlib
Understanding Apache Kafka and Apache Flume
Apache Spark Streaming - Processing Multiple Batches
Apache Spark Streaming - Data Sources
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