1. Big Data Hadoop Training Course Let’s Get Started!

2. Course Objectives • Understand the different parts of Hadoop condition, for example, Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark • Understand Hadoop Distributed File System (HDFS) and YARN and besides their arrangement, and understand how to work with them for point of confinement and asset association • Understand MapReduce and its qualities, and acclimatize some progressed MapReduce contemplations • Get a graph of Sqoop and Flume and delineate how to ingest information utilizing them • Make database and tables in Hive and Impala, get a handle on HBase, and utilize Hive and Impala for dispensing • Understand contrasting sorts of record affiliations, Avro Schema, utilizing Arvo with Hive, and Sqoop and Schema progress • Understand Flume, Flume setup, sources, flume sinks, channels, and flume approaches

3. Course Objectives • Understand HBase, its layout, information storing up, and working with HBase. You will in like way understand the intricacy among HBase and RDBMS • Pick up working information of Pig and its parts • Do accommodating programming in Spark • Understand strong dispersal datasets (RDD) in detail • Execute and hoard Spark applications • Pick up an inside and out comprehension of parallel dealing with in Spark and Spark RDD streamlining procedure • Understand the standard utilize events of Spark and the particular vigilant figuring • Learn Spark SQL, making, changing, and tending to Data follows • Get arranged for Cloudera Big Data CCA175 verification

4. Course Description • Hadoop is an open-source programming structure that is utilized for securing colossal measure of information that should be managed for key basic activity. Big Data Hadoop Training Courses can empower you to secure the pined for aptitudes that will empower you in convincing to be information examination ensured

5. Prerequisites • 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

6. This course is appropriate for: • 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

7. Course Topics • Introduction to Big Data • Introduction to the Hadoop Framework • MapReduce • Apache®Spark • Apache®Pig

8. Course Topics • Apache®Kafka • Apache®Hive • Apache®HBase • Sqoop and Flume • Apache®Oozie

9. Thank You!