Big Data Hadoop And Spark Developer

COURSE INTRODUCTION

The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations. Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow.

The Big Data Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.

KEY FEATURES

  • 48 hours of instructor-led training
  • 24 hours of self-paced video
  • 5 real-life industry projects using Hadoop and Spark
  • Training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark
  • Lifetime access to self-paced learning
  • Aligned to Cloudera CCA175 certification exam

COURSE OBJECTIVES

After completing this course, students will have knowledge and skills to:

  • Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
  • Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
  • Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
  • Ingest data using Sqoop and Flume
  • 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 and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
  • Gain a working knowledge of Pig and its components
  • Do functional programming in Spark, and implement and build Spark applications
  • Understand resilient distribution datasets (RDD) in detail
  • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
  • Understand the common use cases of Spark and various interactive algorithms
  • Learn Spark SQL, creating, transforming, and querying data frames
  • Prepare for Cloudera CCA175 Big Data certification.

AUDIENCE

  • 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

PREREQUISITES

There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial. If you wish to brush up your Core Java skills, Simplilearn offers a complementary self-paced course "Java essentials for Hadoop" when you enroll for this course. For Spark, this course uses Python and Scala, and an e-book is provided to support your learning.

EXAM & CERTIFICATIONS

Unlock Simplilearn Certificate:

Online Classroom:

  • Attend one complete batch
  • Complete one project and one simulation test with a minimum score of 80%

Online Self-Learning:

  • Complete 85% of the course
  • Complete one project and one simulation test with a minimum score of 80%

Who provides the certification?

Upon successful completion of the Big Data Hadoop certification training, you will be awarded the course completion certificate from Simplilearn.

How long does it to take to complete the Big Data Hadoop certification course exam?

It will take about 45-50 hours to complete the Big Data Hadoop course certification successfully.

How many attempts do I have to pass the Big Data Hadoop certification course exam?

While Simplilearn provides guidance and support to help learners pass the exam in the first attempt, if you do fail, you have a maximum of three retakes to successfully pass.

Validity of Big Data Hadoop:

The Big Data Hadoop course certification from Simplilearn has lifelong validity.

COURSE CONTENT

Lesson 1 - Course Introduction

Lesson 2 - Introduction to Big Data and Hadoop

Lesson 3 - Hadoop Architecture, Distributed Storage (HDFS) and YARN

Lesson 4 - Data Ingestion into Big Data Systems and ETL

Lesson 5 - Distributed Processing - MapReduce Framework and Pig

Lesson 6 - Apache Hive

Lesson 7 - NoSQL Databases - HBase

Lesson 8 - Basics of Functional Programming and Scala

Lesson 9 - Apache Spark Next Generation Big Data Framework

Lesson 10 - Spark Core Processing RDD

Lesson 11 - Spark SQL - Processing DataFrames

Lesson 12 - Spark MLLib - Modelling BigData with Spark

Lesson 13 - Stream Processing Frameworks and Spark Streaming

Lesson 14 - Spark GraphX

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