CertAchiever

Big Data Hadoop Certification Training

contact us: +918882136965

Instructor-led live online classes

Weekday Classes | Weekend Classes |

Big Data Hadoop Certification Training

$449

Big Data Hadoop Certification Training

CertAchiever extensive Big Data Analytics certification is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. Throughout this online instructor-led Big Data Hadoop certification training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism, and Finance domains using our Cloud Lab. Enroll now to learn Big Data from instructors with over 10+ years of experience, with hands-on demonstrations.

Training Features

Instructor-led Sessions

Both Weekdays and Weekend batches are available.

Real-Life Case Studies

During the sessions you will be working on the case studies provided by the trainer.

Lifetime Access

You will get the life time access of training material including videos & study guides..

Assignments

Each class will be followed by practical assignments to practice the concepts covered in class

24 x 7 Expert Support

We have a lifetime 24x7 online support team to resolve all your technical queries,through a ticket based tracking system..

Certification

Towards the end of the course, you will be awarded with Training competition certification based on you performance.

Course Curriculum

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 Covered

Introduction to Big Data & Big Data Challenges, 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 Covered

Hadoop 2.x Cluster Architecture, 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 Covered

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

Learning Objectives

In this module, you will learn Advanced MapReduce concepts such as Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format and XML parsing.

Topics Covered

Counters, Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format, XML file Parsing using MapReduce

Learning Objectives

In this module, you will learn Apache Pig, types of use cases where we can use Pig, tight coupling between Pig and MapReduce, and Pig Latin scripting, Pig running modes, Pig UDF, Pig Streaming & Testing Pig Scripts. You will also be working on healthcare dataset.

Topics Covered

Introduction to Apache Pig, Introduction to Apache Pig, MapReduce vs Pig, Pig Components & Pig Execution, Pig Data Types & Data Models in Pig, 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 Objectives

This module will help you in understanding Hive concepts, Hive Data types, loading and querying data in Hive, running hive scripts and Hive UDF.

Topics Covered

Introduction to Apache Hive, 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 Objectives

In this module, you will understand advanced Apache Hive concepts such as UDF, Dynamic Partitioning, Hive indexes and views, and optimizations in Hive. You will also acquire indepth knowledge of Apache HBase, HBase Architecture, HBase running modes and its components.

Topics Covered

Hive QL: Joining Tables, Dynamic Partitioning, Hive QL: Joining Tables, Dynamic Partitioning, Custom MapReduce Scripts, Hive Indexes and views, Hive Query Optimizers, Hive Thrift Server, Hive UDF, Apache HBase: Introduction to NoSQL Databases and HBase, HBase v/s RDBMS, HBase Components, HBase Architecture, HBase Run Modes, HBase Configuration, HBase Cluster Deployment

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 Covered

HBase Data Model, 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 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 Covered

What is Spark, 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 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 Covered

Oozie, 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

Learning Objectives

Topics Covered

Find out the frequency of books published each year. (Hint: Sample dataset will be provided), Find out the frequency of books published each year. (Hint: Sample dataset will be provided), B. Find out in which year the maximum number of books were published, Find out how many books were published based on ranking in the year 2002.

Hands On

The Book-Crossing dataset consists of 3 tables that will be provided to you.

FAQ's

You will never miss a lecture at CertAchiever! You can choose either of the two options:

View the recorded session of the class available in your LMS.

·You can attend the missed session, in any other live batch."

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

You can give us a CALL at +918882136965 (IN) OR email at admin@certachiever.com

Certification

Once your training will complete, you will be awarded with training completion certification from the Trainer.