Big Data Certification Training

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Big Data
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The Big Data certification course provides knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig.

Course Description

This Big Data certification course helps you to achieve heights as a Big Data Developer. This course helps you in processing and analyzing a very huge volume of data.

The average salary of a Big Data Developer is around $135,000 for which this course can be a highly productive asset.

With the Big Data certification training course, you’ll be able to ingest and analyze the large datasets in HDFS using Sqoop.

Software Developers, Project Managers, Software Architects, ETL and Data Warehousing Professionals, Data Engineers, Data Analysts & Business Intelligence Professionals coming from the IT background should take this course.

No such prerequisites are required but prior knowledge of Core Java and SQL can be helpful.

Depending upon the unique circumstances, the Big Data Certification is worth it to you professionally and financially. Seeking the benefits of big data analytics, there is a huge demand for Big Data & Hadoop professionals. This course is a stepping stone to your Big Data journey and you will get the opportunity to work on various Big Data projects. This course will help you bring the exposure to many real world industry-based projects.

What you'll learn

  • This Big Data Certification course will give you knowledge of Big Data framework using Hadoop and Spark.
  • This course module will teach you to execute real-life, industry-based projects using Integrated Lab.

Requirements

  • No such prerequisites are required but prior knowledge of Core Java and SQL can be helpful.

Curriculam

Learning Objectives: In this module, you will understand what Big Data is, the limitations of the traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & how MapReduce works. Topics: Introduction to Big Data & Big Data Challenges Preview Limitations & Solutions of Big Data Architecture Hadoop & its Features Hadoop Ecosystem Hadoop 2.x Core Components Preview Hadoop Storage: HDFS (Hadoop Distributed File System) Hadoop Processing: MapReduce Framework Different Hadoop Distributions

Introduction to Big Data & Big Data Challenges
Limitations & Solutions of Big Data Architecture
Hadoop & its Features
Hadoop Ecosystem
Hadoop 2.x Core Components
Hadoop Storage: HDFS (Hadoop Distributed File System)
Hadoop Processing: MapReduce Framework
Different Hadoop Distributions

Learning Objectives: In this module, you will learn Hadoop Cluster Architecture, important configuration files of Hadoop Cluster, Data Loading Techniques using Sqoop & Flume, and how to setup Single Node and Multi-Node Hadoop Cluster. Topics: Hadoop 2.x Cluster Architecture Preview Federation and High Availability Architecture Preview Typical Production Hadoop Cluster Hadoop Cluster Modes Common Hadoop Shell Commands Preview Hadoop 2.x Configuration Files Single Node Cluster & Multi-Node Cluster set up Basic Hadoop Administration

Hadoop 2.x Cluster Architecture
Federation and High Availability Architecture
Typical Production Hadoop Cluster
Hadoop Cluster Modes
Common Hadoop Shell Commands
Hadoop 2.x Configuration Files
Single Node Cluster & Multi-Node Cluster set up
Basic Hadoop Administration

Learning Objectives: In this module, you will understand Hadoop MapReduce framework comprehensively, the working of MapReduce on data stored in HDFS. You will also learn the advanced MapReduce concepts like Input Splits, Combiner & Partitioner. Topics: Traditional way vs MapReduce way Why MapReduce Preview YARN Components YARN Architecture YARN MapReduce Application Execution Flow YARN Workflow Anatomy of MapReduce Program Preview Input Splits, Relation between Input Splits and HDFS Blocks MapReduce: Combiner & Partitioner Demo of Health Care Dataset Demo of Weather Dataset

Traditional way vs MapReduce way
Why MapReduce Preview
YARN Components
YARN Architecture
YARN MapReduce Application Execution Flow
YARN Workflow
Anatomy of MapReduce Program Preview
Input Splits, Relation between Input Splits and HDFS Blocks
MapReduce: Combiner & Partitioner
Demo of Health Care Dataset
Demo of Weather Dataset

Learning Objectives: This module will cover advance Apache HBase concepts. We will see demos on HBase Bulk Loading & HBase Filters. You will also learn what Zookeeper is all about, how it helps in monitoring a cluster & why HBase uses Zookeeper. Topics: HBase Data Model Preview HBase Shell HBase Client API Hive Data Loading Techniques Apache Zookeeper Introduction ZooKeeper Data Model Zookeeper Service HBase Bulk Loading Preview Getting and Inserting Data HBase Filters

HBase Data Model Preview
HBase Shell
HBase Client API
Hive Data Loading Techniques
Apache Zookeeper Introduction
ZooKeeper Data Model
Zookeeper Service
HBase Bulk Loading Preview
Getting and Inserting Data
HBase Filters

Learning Objectives: In this module, you will learn what is Apache Spark, SparkContext & Spark Ecosystem. You will learn how to work in Resilient Distributed Datasets (RDD) in Apache Spark. You will be running application on Spark Cluster & comparing the performance of MapReduce and Spark. Topics: What is Spark Preview Spark Ecosystem Spark Components Preview What is Scala Preview Why Scala SparkContext Spark RDD

What is Spark
Spark Ecosystem
Spark Components
What is Scala
Why Scala
SparkContext
Spark RDD

Learning Objectives: In this module, you will understand how multiple Hadoop ecosystem www.edureka.co © 2019 Brain4ce Education Solutions Pvt. Ltd. All rights Reserved. components work together to solve Big Data problems. This module will also cover Flume & Sqoop demo, Apache Oozie Workflow Scheduler for Hadoop Jobs, and Hadoop Talend integration. Topics: Oozie Preview Oozie Components Oozie Workflow Scheduling Jobs with Oozie Scheduler Demo of Oozie Workflow Oozie Coordinator Preview Oozie Commands Oozie Web Console Oozie for MapReduce Combining flow of MapReduce Jobs Hive in Oozie Hadoop Project Demo Hadoop Talend Integration

Oozie
Oozie Components
Oozie Workflow
Scheduling Jobs with Oozie Scheduler
Demo of Oozie Workflow
Oozie Coordinator
Oozie Commands
Oozie Web Console
Oozie for MapReduce
Combining flow of MapReduce Jobs
Hive in Oozie
Hadoop Project Demo
Hadoop Talend Integration

FAQ

The Big Data certification brings out the Big Data practitioner by providing you rich hands-on training on Hadoop Ecosystem & fundamental principles that help you attain expertise in this field.

Immediate course access can be obtained in the form of a complete set of Videos, PPTs, PDFs, and Assignments.

You get to have lifetime access to course material soon after enrollment.

Yes, we provide practice tests as part of our Big Data Certification course to help you prepare for the actual Big Data certification exam.

You will receive CertZip Big data certification on completing live online instructor-led classes. After completing the Big data certification module, you will receive the certificate.

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Training Course Features

Assessments
Assessments

Every certification training session is followed by a quiz to assess your course learning.

Mock Tests
Mock Tests

The Mock Tests Are Arranged To Help You Prepare For The Certification Examination.

Lifetime Access
Lifetime Access

A lifetime access to LMS is provided where presentations, quizzes, installation guides & class recordings are available.

24x7 Expert Support
24x7 Expert Support

A 24x7 online support team is available to resolve all your technical queries, through a ticket-based tracking system.

Forum
Forum

For our learners, we have a community forum that further facilitates learning through peer interaction and knowledge sharing.

Certification
Certification

Successfully complete your final course project and CertZip will provide you with a completion certification.

Big Data Certification Training

A Big data certificate is a certification that verifies that the holder has the knowledge and skills required to be in Big data.

Becoming a Big Data professional will have many benefits such as Career growth, better salary, better job opportunities, upgrade to new technologies, and various big companies will hire you.

The AWS Big Data Certification is worth it as one will gain a more solid understanding of the base layers of the data science hierarchy of needs.

demo certificate

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