BIG DATA AND HADOOP

COURSE DESCRIPTION

Hadoop is an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.

CERTIFICATION

Get certified. Stand out. Demonstrate your expertise with the most sought-after technical skills. Big data success requires professionals who can prove their mastery with the tools and techniques of the Hadoop stack. However, experts predict a major shortage of advanced analytics skills over the next few years. At Cloudera ...

LEARNING OUTCOMES

• Understand the various parts of Hadoop condition, for instance, Hadoop 2.7, Impala, Yarn, MapReduce, Pig, Hive, HBase, Sqoop, Flume, and Apache Spark
• Learn Hadoop Distributed File System (HDFS) and YARN building, and make sense of how to function with them for limit and resource organization
• Understand MapReduce and its qualities and retain advanced MapReduce thoughts
• Ingest data using Sqoop and Flume
• Get a working learning of Pig and its parts
• Do functional programming in Spark, and execute and create Spark applications
• Understand adaptable spread datasets (RDD) in detail
• Get a through and through understanding of parallel get ready in Spark and Spark RDD upgrade systems
• Make database and tables in Hive and Impala, fathom HBase, and use Hive and Impala for separating
• Understand particular sorts of record positions, Avro Schema, using Arvo with Hive, and Sqoop and Schema improvement
• Fathom Flume, Flume configuration, sources, flume sinks, channels, and flume courses of action
• Grasp and work with HBase, its outline and data accumulating, and take in the difference among HBase and RDBMS
• Understand the typical use occasions of Spark and distinctive natural estimations
• Learn Spark SQL, making, changing, and addressing data diagrams