Big Data Hadoop & Spark Course

by Training Hub Claim Listing

Most importantly, this course focused on hands-on exercises, real-time use cases, and topic-wise code practice, which will help you get practical use of tools and codes rather than knowing only theoretical concepts.

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Course Details

Our Big Data Hadoop and Spark regular training course is designed to cover all required big data tools. This course will help you to understand the basics and advanced concepts of Hadoop and Spark with all components like HDFS, Map Reduce, YARN, Sqoop, Flume, Hive, Impala, Spark Core API, Spark SQL, Spark Streaming, Oozie, ZooKeeper, and some basics of Hadoop administration.

Most importantly, this course focused on hands-on exercises, real-time use cases, and topic-wise code practice, which will help you get practical use of tools and codes rather than knowing only theoretical concepts.

Training Hub provides the most comprehensive big data training course for those looking to advance their careers. The certified trainers have carefully crafted the course content and helped the students by leading them through practical exercises.

 

Course Objectives

  • Learn the essentials of big data.

  • Master Hadoop Distributed File System (HDFS)

  • Dive into MapReduce for data processing.

  • Work with Sqoop and Flume for data ingestion.

  • Explore SQL querying with Hive and Impala.

  • Explore the Hadoop ecosystem.

  • Set up and manage Hadoop clusters.

  • Understand the Hadoop YARN Framework.

  • Discover data transformation using Pig.

  • Learn implementation procedures for big data analytics.

 

Student Journey Throughout The Course

Upon enrollment, you'll learn from seasoned professionals with over a decade of experience. By course completion, you'll master key aspects of Big Data and Hadoop, including architecture, cluster management, ecosystem setup, HDFS, MapReduce, data ingestion, Hive SQL, and Pig Latin.

This course caters to developers, project managers, architects, ETL experts, and BI professionals. No specific prerequisites are required; everyone is welcome to join this training.

 

Course Content

  • Unit 1: Introduction to Big Data and Hadoop Ecosystem

  • Unit 2: Hadoop Framework and HDFS

  • Unit 3: Hadoop Map Reduce and YARN Framework

  • Unit 4: Apache SQOOP

  • Unit 5: Apache Flume

  • Unit 6: Apache Pig

  • Unit 7: Apache Hive

  • Unit 8: Apache Impala

  • Unit 9: Apache Spark Using Scala

  • Unit 10: Oozie and Zookeeper

  • Unit 11: Hadoop Administration Essentials

  • Unit 12: Projects and Assignments

  • Toronto Branch

    #402 - 989 Derry Road East, Toronto

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