Big Data Hadoop Certification Training

Learning Objective: This module covers what Big Data is, its limitations, and traditional problems. 

Topics covered:

• Introduction to Big Data & it 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 Objective: In this section, you will learn the Hadoop Cluster Architecture. 

Topics covered:

• 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 & Multi-Node Cluster construction 

• Basic Hadoop Administration

Learning Objective: This module covers the Hadoop MapReduce framework and its working. 

Topics covered:

• Traditional way vs MapReduce way

• Why MapReduce 

• YARN Components

• YARN Architecture

• YARN MapReduce Application Execution Flow

• YARN Workflow

• Anatomy of MapReduce Program

• About Input Splits and its Relation between Input Splits and HDFS Blocks

• MapReduce: Combiner & Practitioner

• Demo of Health Care Dataset

• Demo of Weather Dataset

Learning Objective: In this module, you will learn advanced MapReduce concepts like counters, distributed cache, reduce join, etc. 

Topics covered:

• Counters

• Distributed Cache

• MRunit

• Reduce Join

• Custom Input Format

• Sequence Input Format

• XML file Parsing using MapReduce

Learning Objective: Cover concepts about Apache Pig and its related components. 

Topics covered:

• Introduction to Apache Pig

• MapReduce vs Pig

• Pig Components & Pig Execution

• Pig Data Types & Models

• Pig Latin Programs

• Shell and Utility Commands

• Pig UDF & Pig Streaming

• Testing Pig scripts with Punit

• Aviation use-case in PIG

• Pig Demo of Healthcare Dataset

Learning Objective: Understand the Hive concepts and their data types. 

Topics covered:

• Introduction to Apache Hive

• Hive vs Pig

• Hive Architecture and Components

• Hive Metastore

• Limitations of Hive

• Comparison with Traditional Database

• Hive Data Types and Data Models

• Hive Partition

• Hive Bucketing

• Hive Tables (Managed Tables and External Tables)

• Importing Data

• Querying Data & Managing Outputs

• Hive Script & Hive UDF

• Retail use case in Hive

• Hive Demo on Healthcare Dataset

Learning Objective: Learn about Advanced Hive concepts. 

Topics covered: 

• Hive QL: Joining Tables, Dynamic Partitioning

• Custom MapReduce Scripts

• Hive Indexes and views

• Hive Query Optimizers

• Hive Thrift Server

• Hive UDF

• Apache HBase Introduction, NoSQL Databases & HBase

• HBase v/s RDBMS

• HBase Components

• HBase Architecture

• HBase Run Modes

• HBase Configuration

• HBase Cluster Deployment

Learning Objective: Cover advanced Apache HBase concepts. 

Topics covered:

• HBase Data Model

• HBase Shell

• HBase Client API

• Hive Data Loading Techniques

• Apache Zookeeper Introduction

• ZooKeeper Data Model

• Zookeeper Service

• HBase Bulk Loading

• Getting and Inserting Data

• HBase Filters

Learning Objective: Learn about Apache Spark, SparkContext & Spark Ecosystem.

Topics covered:

• What is Spark

• Spark Ecosystem

• Spark Components

• What is Scala

• Why Scala

• SparkContext

• Spark RDD

Learning Objective: Learn about the multiple Hadoop ecosystems. 

Topics covered:

• 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

Hadoop is a very popular Apache project, which is an open-source software required to store and process Big Data. Hadoop tools are used to store data in a distributed and fault-tolerant manner on the hardware. Moreover, these tools are used to perform parallel data processing over the HDFS or the Hadoop Distributed File System. Since organizations are collected too much data about businesses and customers these days, Big Data Hadoop training online is one of the best choices one can make for their career. There is a huge surge in the demand for Hadoop and Big Data professionals and companies are looking for similar experts who possess the knowledge of the Hadoop ecosystem and its best practices. 

CertOcean’s Big Data Hadoop certification training will provide you with rich hands-on experience about the ecosystem and will be a big stepping stone for a learner who wants to explore the Big Data domains. 

Big Data Hadoop certification training is developed by industry experts to help make you a certified big data practitioner. Post the completion of the course, you will be able to:

• Profound information on Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and MapReduce 

• In-depth knowledge about the different apparatuses that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase 

• The ability to ingest information in HDFS utilizing Sqoop and Flume, and break down those enormous datasets put away in the HDFS 

• The introduction to numerous genuine industry-based activities which will be executed in Cert Ocean's CloudLab 

• Execute projects which are different covering different informational indexes from various spaces, for example, banking, telecom, online media, protection, and web-based business 

• Thorough contribution of a Hadoop master all through the Big Data Hadoop Training to learn industry principles and best practices

Big Data Hadoop certification will help you chart your future and become a Big Data expert. It will scape your skills by providing you with a comprehensive learning opportunity about the Hadoop framework. It provides you with hands-on experience and solves real-time industry-based Big Data projects. Therefore, Big Data Hadoop training online course is a huge upliftment for your career. Post the completion of the Big data Hadoop certification, an individual will be able to:

• Expert the ideas of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and see how to work with Hadoop stockpiling and asset the executives. 

• Comprehend MapReduce Framework 

• Execute complex business arrangement utilizing MapReduce 

• Learn information ingestion strategies utilizing Sqoop and Flume 

• Perform ETL tasks and information investigation utilizing Pig and Hive 

• Executing Partitioning, Bucketing, and Indexing in Hive 

• Comprehend HBase, i.e a NoSQL Database in Hadoop, HBase Architecture and Mechanisms 

• Coordinate HBase with Hive 

• Timetable positions utilizing Oozie 

• Execute best practices for Hadoop improvement 

• Comprehend Apache Spark and its Ecosystem 

• Figure out how to function with RDD in Apache Spark 

• Work on genuine Big Data Analytics Project 

• Work on a continuous Hadoop bunch

The market for Data Analytics is widely growing owing to its immense benefits and utility in the industrial landscape. The Big Data Hadoop training online course helps you grab onto the career wagon and script a successful story. This course can be taken by freshers and professionals belonging to the following domain:

• Software Developers, Project Managers

• Software Architects

• ETL and Data Warehousing Professionals

• Data Engineers

• Data Analysts & Business Intelligence Professionals

• DBAs and DB professionals

• Senior IT Professionals

• Testing professionals

• Mainframe professionals

• Graduates who want to make it big in the Big Data Field

As per several predictions, Big Data and Hadoop training will help you accelerate your career growth graph. More and more companies are looking for data experts who can analyze the stored data and derive meaningful insights from it. 

You can execute all the assignments on your Cloud LAB environment whose access details are shown on the LMS. 

CloudLab is a cloud-based Hadoop and Spark environment provided to the professionals by CertOcean for in-class demos execution and projects in a fluent manner. With a CloudLab, you can save time and trouble from installing and maintaining Hadoop or Spark on the virtual machine. You can access the CloudLab via your browser without any prior hardware configuration. 

You don’t need any system requirements to attend the proceedings of this course. The environment is already present and will help execute the practicals. 

CertOcean’s Hadoop training includes multiple real-time, industry-based projects, which will expert your skills in Big Data and Hadoop jobs. You will complete eight different projects all related to different industrial domains in this course. 

Candidates will never miss lectures in CERTOCEAN's Big Data Hadoop training online course as they have the option to either view the recorded session or to attend the next live batch. 

Our team is with each student 24/7. They need not worry about anything. Just ask your queries about one of the Big Data Hadoop certification training and we will make sure that it gets solved as soon as possible. 

Only instructors who are experts in the domain and possess more than 10 years of experience are selected to teach after a stringent and tedious process. After shortlisting, all the instructors undergo a 3 months long training program. 

We provide support to all the learners even if they have completed their course training way before. Once you have registered with us, we will take care of all your educational needs and demands, resolving all your functional and technical queries. 

CertOcean's Big Data Hadoop certification will assist you throughout the course and help you master the concepts and practical implementation of technology for the course duration.