Big Data Hadoop Analyst Training Online

BY
Intellipaat

Ace up your skills as Big Data Hadoop Analyst and land up the desirable job in renowned corporates with the online certification course by Intellipaat.

Mode

Online

Duration

30 Hours

Fees

$ 7182

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekends

Course overview

Data analysis has become an inseparable part of the decision-making process of any organization. This is the reason why recruiters are looking for candidates who have excellent knowledge of Big Data analytics. The certification course by Intellipaat shall enhance the skills of the individual as a Big data Hadoop Analyst. The course focuses on the overall efficiency of using the Hadoop software and its practical applications. The course by Intellipaat shall open gates of opportunities in data analysis for the learners.

Big Data Hadoop Analyst Training Online certification course is of 120 hours duration during which the 30 hours are for the self-paced videos, 30 hours for the instructor training, and the rest 60 hours duration for the projects and exercises. The projects that are associated with the course are real-life-based projects this introduces learners to the working style and environment. Candidate must score 60% marks in the assessments and should complete the projects with proficiency for receiving Big Data Hadoop Analyst Training Online certification by Intellipaat. 

The highlights

  • 100% Online course 
  • Certification 
  • 30 hours self-paced videos 
  • 30 hours of instructor-led training
  • 60 hours practical assessment 
  • Job assistance 
  • Flexible schedule 
  • Lifetime upgrade
  • Mentor support

Program offerings

  • Online course
  • 30 hours instructor-led training course
  • 30 hours self-paced videos
  • 60 hours project learning
  • Convenient learning
  • Video demonstration
  • Assessments
  • Peer assistance
  • Certification
  • Job assistance.

Course and certificate fees

Fees information
$ 7,182

Intellipaat offers two learning modes to the learners, self-paced videos and online classroom training. The third option is for the organization to inculcate the skills of Big Data Hadoop to their employees. From both of the learning modes, the candidate must select one mode and pay the Big Data Hadoop Analyst Training Online certification fee on the portal. The fee must be paid through online mode. The details of the fee are mentioned below in the table. 

Fee structure for Big Data Hadoop Analyst Training Online

Course name 

Fee in INR

Big Data Hadoop Analyst Training Online self-paced learning 

Rs. 7,182

Big Data Hadoop Analyst Training Online Online classroom

Rs. 17,100

Big Data Hadoop Analyst Training Online corporate learning

 -

certificate availability

Yes

certificate providing authority

Intellipaat

Who it is for

The course shall benefit all the people who want to make their career as Big data Hadoop analysts. Irrespective of their background of programming skills this course will help them to gain expertise as Hadoop analysts. The certification course shall prepare the learner as per the market demands.

Eligibility criteria

The candidate having the foundational knowledge of programming are eligible to take up Big Data Hadoop Analyst Training Online classes. 

Certification Qualifying Details

Big Data Hadoop Analyst Training Online for the candidates who are working as data analysts. The aim of this course is to inculcate the skills in learners for being proficient Big data Hadoop professionals. Big Data Hadoop Analyst Training Online certification syllabus is designed in a way that it provides comprehensive knowledge of the open data processing Hadoop tool. The application of Hadoop is the prime reason for its growing demand in the industry. The trained data analysts have the greater possibility to join an organization with a decent package. The online course has quizzes, assessments, and projects for the learners to gain expertise in Hadoop. The projects that should be completed by the learners are working with MapReduce Hive and Sqoop, Connecting Pentaho with the Hadoop ecosystem. The course by Intellipaat requires the candidate to clear the associated assessments with 60% of the score and also to complete all the projects linked with it to receive the Big Data Hadoop Analyst Training Online certification from Intellipaat. 

What you will learn

Knowledge of big data

The Big Data Hadoop Analyst Training Online course will benefit the Analyst to work on Big Data and Hadoop. The demand for analysts who has proficiency in the software has hiked up in the industry. The training course will give learners the right skills to deploy various techniques and tools for being a skillful Hadoop Analyst working with Big Data. At the end of the course, the learners will become efficient in the following areas:

  • Hadoop architecture and the Hadoop ecosystem
  • Apache Hive, Pig, and the Yarn tools
  • Understanding the complex data processing techniques
  •  Hadoop real-time queries using Impala
  • Integrating the HBase with MapReduce
  • Deploying the MapReduce advanced indexing
  • ETL Connectivity with Hadoop ecosystem

The syllabus

Introduction to Big Data and Hadoop and its ecosystem, MapReduce and HDFS

  • What is Big Data,
  • Where does Hadoop fit in,
  • Hadoop Distributed File System (HDFS): replications, block size, secondary name node, high availability, 
  • Uderstanding Yarn: resource manager, node manager and the difference between 1.x and 2.x

Hadoop Installation and Setup

  • Hadoop 2.x Cluster architecture, 
  • Federation and high availability, 
  • A typical production cluster setup, 
  • Hadoop cluster modes, 
  • Common Hadoop Shell Commands,
  • Hadoop 2.x configuration files 
  • Cloudera single-node cluster

Deep Dive into MapReduce

  • How does MapReduce work, 
  • How does Reducer work,
  • How does Driver work, 
  • Combiners
  • Partitioners
  • Input formats
  • Output formats
  • Shuffle and sort
  • Map Side Joins
  • Reduce Side Joins
  • MR Unit and distributed cache

Lab Exercises

  • Working with HDFS, 
  • Writing a word count program, 
  • Writing custom partitioner, 
  • MapReduce with combiner, 
  • Map Side Joins, 
  • Reduce Side Joins, 
  • Unit-testing MapReduce 
  • Running MapReduce in local job runner mode

Graph Problem Solving

  • What is Graph, 
  • Graph Representation, 
  • Breadth-First Search Algorithm, 
  • Graph Representation of MapReduce, 
  • How to do the Graph Algorithm and examples of Graph MapReduce

Detailed Understanding of Pig

Introduction to Pig
  • Understanding Apache Pig, 
  • Its features, 
  • Various uses, and learning to interact with Pig
Deploying Pig for Data Analysis
  • The syntax of Pig Latin, 
  • Various definitions, 
  • Data sort and filter, 
  • Data types, 
  • Deploying Pig for ETL, 
  • Data loading, 
  • Schema viewing, 
  • Field definitions, 
  • Commonly used functions
Pig for Complex Data Processing
  • Various data types including nested and complex, 
  • Processing data with Pig, 
  • Grouped data iteration, 
  • Practical exercises
Performing Multi-Data Set Operations
  • Data set joining, 
  • Data set splitting, 
  • Various methods for data set combining, 
  • Set operations, 
  • Hands-on exercises
Extending Pig
  • Understanding user-defined functions, 
  • Performing data processing with other languages, 
  • Imports and macros,
  • Using streaming and UDFs to extend Pig and practical exercises
Pig Jobs
  • Working with real data sets involving Walmart and Electronic Arts as case studies

Detailed Understanding of Hive

Hive Introduction
  • Understanding Hive
  • Traditional database comparison with Hive, 
  • Pig and Hive comparison, 
  • Storing data in Hive and Hive schema, 
  • Hive interaction, 
  • Various use cases of Hive
Hive for Relational Data Analysis
  • Understanding HiveQL, 
  • Basic syntax, 
  • Various tables and databases, 
  • Data types, data set joining, 
  • Various built-in functions, 
  • Deploying Hive queries on Scripts, 
  • Shell, and Hue
Data Management with Hive
  • Various databases, 
  • Creation of databases, 
  • Data formats in Hive, 
  • Data modeling, 
  • Hive-managed tables, 
  • Self-managed tables, 
  • Data loading, 
  • Changing databases and tables, 
  • Query simplification with Views, 
  • Result storing of queries, 
  • Data access control, 
  • Managing data with Hive, 
  • Hive Metastore and Thrift server
Optimization of Hive
  • Learning performance of a query, 
  • Data indexing, partitioning, 
  • Bucketing
Extending Hive
  • Deploying user-defined functions for extending Hive
Hands-on Exercises
  • Working with large data sets and extensive querying
  • Deploying Hive for huge volumes of data sets and large amounts of querying
  • Deploying Hive for huge volumes of data sets and large amounts of querying
UDF and Query Optimization
  • Working extensively with user-defined queries, 
  • Learning how to optimize queries and various methods to do performance tuning

Impala

Introduction to Impala
  • What is impala, how impala differ from Hive and Pig, 
  • How does impala differ from relational databases and limitations and future directions using the Impala Shell
Choosing the Best (Hive, Pig and Impala)
Modeling and Managing Data with Impala and Hive
  • Data storage overview
  • Creating databases and tables, 
  • Loading data into tables, 
  • HCatalog and Impala metadata caching
Data Partitioning
  • Partitioning overview and partitioning in Impala and Hive

(Avro) Data Formats

  • Selecting a file format
  • Tool support for file formats, 
  • Avro schemas
  • Using Avro with Hive and Sqoop and Avro schema evolution and compression

Introduction to HBase Architecture

  • What is HBase, 
  • Where does it fit in 
  • What is NoSQL

Hadoop Cluster Setup and Running MapReduce Jobs

  • Multi-node cluster setup using Amazon EC2: creating four-node cluster setup and running MapReduce jobs on cluster

ETL Connectivity with Hadoop Ecosystem

  • How do ETL tools work in Big Data industry, 
  • Connecting to HDFS from ETL tool and moving data from Local system to HDFS, 
  • Moving data from DBMS to HDFS, 
  • Working with Hive with ETL tool, 
  • Creating MapReduce job in ETL tool and end-to-end ETL PoC showing Big Data integration with ETL tool

Job and Certification

  • Major Project, 
  • Hadoop development,
  • Cloudera certification tips and guidance and mock interview preparation, 
  • Practical development tips and techniques and certification preparation

Admission details

To get into the Big Data Hadoop Analyst Training follow the steps mentioned below: 

Step 1: Visit the official portal of Intellipaat or click on this link https://intellipaat.com/hadoop-analyst-training/

Step 2: Click on the ‘Enroll Now’ Tab and select the learning mode. 

Step 3: Fill in the required details and edit the cart. 

Step 4: Pay the Big Data Hadoop Analyst Training Online certification fee. 

Step 5: Start your Big Data Hadoop Analyst Training Online.  

How it helps

The Big Data Hadoop Analyst Training Online certification benefits data analysts or beginners who want to pursue their career in data analysis. The course shall prepare the learners for the work in this domain and help them to gain proficiency in the same. The learners shall put their hands on the projects such as working with MapReduce Hive and Sqoop, Connecting Pentaho with the Hadoop ecosystem. The certification that the candidate will receive after passing  The assessment with a 60% score and completing the project is recognized in more than 50 MNCs.The certification shall unveil multiple job opportunities for the learners.

FAQs

What are the reasons to take up The Big Data Hadoop Analyst Training Online certification course?

Hadoop as the software has gained its popularity over time, because of its practical application the software has expanded its scope among data analysts. As per the market requirements, the Hadoop Analysts are getting a decent package and recruiters are looking for this skill in beginners for recruitment. 

How peer assistance can help the learners?

Peer assistance is the feature by Intellipaat that allows the interaction between seniors and juniors. The group also has information on technical events to present their projects.

How can the job assistance feature help the learners?

The job assistance feature shall prepare the candidate for interviews and will also train them as per the market requirements. 

What is the duration of the course?

The duration of the course is 120 hours.

What is the tenure of subscription for the candidate?

Intellipaat gives free time life upgrade to the learners. 

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