Key Features:

• 40 hours of instructor-led training
• 24 hours of self-paced video
• 5 real-life industry projects in banking, telecom, insurance, and e-commerce domains
• Hands-on practice with CloudLabs
• Includes training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark
• Aligned to Cloudera CCA175 certification exam

What are the course objectives?

This course will enable you to:

• Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
• Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
• Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
• Get an overview of Sqoop and Flume and describe how to ingest data using them
• Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
• Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
• Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
• Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
• Gain a working knowledge of Pig and its components
• Do functional programming in Spark
• Understand resilient distribution datasets (RDD) in detail
• Implement and build Spark applications
• Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
• Understand the common use-cases of Spark and the various interactive algorithms
• Learn Spark SQL, creating, transforming, and querying Data frames
• Prepare for Cloudera Big Data CCA175 certification

Who should take this course?

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:

• Software Developers and Architects
• Analytics Professionals
• Senior IT professionals
• Testing and Mainframe professionals
• Data Management Professionals
• Business Intelligence Professionals
• Project Managers
• Aspiring Data Scientists
• Graduates looking to build a career in Big Data Analytics

Prerequisite:

• As the knowledge of Java is necessary for this course, we are providing a complimentary access to “Java Essentials for Hadoop” course
• For Spark we use Python and Scala and an Ebook has been provided to help you with the same
• Knowledge of an operating system like Linux is useful for the course