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Innovision Learning is one of leading providers of professional education in the field of IT, Software Development, Project Management, Quality Assurance and many more. We welcome you to join one of the largest E-learning systems. Since its beginning, the organization is dedicated towards developing state of the art learning methodologies by engaging learned and experienced faculty and facilitating the individual and corporate with high quality training materials, which in turn has helped professionals to achieve their career objectives and growth.

Why Big Data Analytics Certification?

Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information. These patterns are a minefield of information and analyzing them provide several insights that can be used by organizations to make business decisions. This analysis is essential for large organizations like Facebook that manage over a billion users every day, and use the data collected to help provide a better user experience.

Benefits:

Big data analytics certification is growing in demand and is most relevant in data science today than in other fields. The field of data analytics is new and there are not enough professionals with the right skills. Hence, the credibility of big data analytics certification promises many growth opportunities for organizations as well as individuals in the booming field of data science.

What is the future of Big Data Professionals?

According to IDC, worldwide spending on big data and analytics is growing at a compound annual growth rate (GAGR) of 11.9 percent, and revenues will likely total more than $210 billion by 2020. This growth will only increase in the coming years as more and more data gets generated and the need to analyze it for business benefits increases. This has led to an increased demand for data scientists, analysts, and data management experts. Moreover, according to IDC, big data staffing shortage is expected to expand from analysts and scientists to include architects as well as experts in data management. Hence gaining expertise in this domain is sure to help you reap rich dividends in the future.

Why is there an increased demand for Big Data Analytics professionals?

Enterprises have realized the value that Big data analysis provides to their business, which is why there is an increase in demand for Big Data Analytics professionals. The following states the reasons why big data is in high demand:

Influences Project Outcomes: Lack of Big Data may cause failure in project management, which might further lead to losses or pitfalls. Big Data analysis deals with trends, patterns, and various other parameters related to the project being worked on. This way, an unexpected variable can be overcome, hence improving project performance.

Predictive Analytics: To make predictions for the future, the predictive analysis uses various techniques from data mining, statistics, modeling, machine learning, and AI. As per the patterns found in historical and transactional data, risks can be identified along with the various opportunities for the future.

User Experience: Big Data is in high demand because it helps enhance customer experience. Taking data from call logs, social media channels, customer feedback, etc. allows businesses to improve their products as well as customer experience.

How will this Big Data Analytics training help me in getting a job?

Attending this Big Data Analytics training will help you in getting a job in the following ways:

  • It will increase the possibility of landing highly-coveted roles and increase the likelihood of you getting hired.
  • It will make you eligible for various domains such as e-commerce, government, finance, healthcare, etc.
  • Obtaining certification for the same defines your credibility as it stands as a validation of your skills.
  • Enjoy an Increase in salary as your experience grows.
  • It helps you stay updated with the latest industry trends.
  • Will provide you with an improved career path.
Which types of companies are hiring Big Data Professionals?

Today, Big Data Analysts are in great demand. Industries like Professional Services, Manufacturing, IT, Retail and Finance hire individuals who are experts in Big Data technology. Here is a list of some of the companies hiring Big Data professionals:

  • Accenture Analytics
  • Fractal Analytics
  • Mu Sigma analytics
  • Cartesian Consulting
  • Hewlett Packard Enterprise
  • Quest HR
  • IFINTALENT GLOBAL Pvt Ltd
  • Data Analytics Company
The objectives of Big Data Hadoop

Certification Training is designed by industry experts to make you a Certified Big Data Practitioner. The Big Data Hadoop in-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices.

What will you learn?
  • Understand the Fundamentals: Learn the basics of Apache Hadoop & data ETL, ingestion, and processing with Hadoop tools.
  • Learn Pig Framework: Understand how to join multiple data sets and analyze disparate data with the Pig framework.
  • Understand the Hive Framework: How to organize data into tables, perform transformations, and simplify complex queries with Hive.
  • Perform Real-time Analysis: How to perform real-time interactive analyses on huge data sets stored in HDFS using SQL with Impala.
  • Choose the Best Tool: How to pick the best tool in Hadoop, achieve interoperability, and manage repetitive workflows.
What will you learn?
  • Data Architects Data
  • Data Architects Data
  • Data Analysts BI
  • Analysts BI
  • Developers SAS
  • Developers Project Managers
  • Mainframe and Analytics Professionals
  • Who want to acquire knowledge on Big Data
Introducing Big Data & Hadoop

You will get introduced to real-world problems with Big data and will learn how to solve those problems with state-of-the-art tools. Understand how Hadoop offers solutions to traditional processing with its outstanding features. You will get to Know Hadoop background and different distributions of Hadoop available in the market. Prepare the UNIX Box for the training.

Topics:

1. Big Data Introduction

  • What is Big Data?
  • Data Analytics
  • Big Data Challenges
  • Technologies supported by big data
  • 1.2 Hadoop Introduction
  • What is Hadoop?
  • History of Hadoop
  • Basic Concepts
  • Future of Hadoop
  • The Hadoop Distributed File System
  • Anatomy of a Hadoop Cluster
  • Breakthroughs of Hadoop
  • Hadoop Distributions:
  • Apache Hadoop
  • Cloudera Hadoop
  • Horton Networks Hadoop
  • MapR Hadoop

Hands On: Installation of Virtual Machine using VMPlayer on Host Machine. And work with some basics Unix Commands needs for Hadoop.

2. Hadoop Daemon Processes

You will learn what are the different Daemons and their functionality at a high level.

  • Name Node
  • Data Node
  • Secondary Name Node
  • Job Tracker
  • Task Tracker

Hands On:

  • Creates a UNIX Shell Script to run all the daemons at one time.
  • Starting HDFS and MR separately.

3. HDFS (Hadoop Distributed File System)

You will get to know how to Write and Read files in HDFS. Understand how Name Node, Data Node and Secondary Name Node take part in HDFS Architecture. You will also know different ways of Accessing HDFS data.

  • Blocks and Input Splits
  • Data Replication
  • Hadoop Rack Awareness
  • Cluster Architecture and Block Placement
  • Accessing HDFS
  • JAVA Approach
  • CLI Approach

Hands On:

  • Writes a shell Script which writes and reads Files in HDFS. Changes Replication factor at three levels. Use Java for working with HDFS.
  • Writes different HDFS Commands and also Admin Commands.

4. Hadoop Installation Modes and HDFS

You will learn different modes of Hadoop, understand Pseudo Mode from scratch and work with Configuration. You will learn the functionality of different HDFS operations and Visual Representation of HDFS.

Read and Write actions with their Daemons Name node and Data Node.

  • Local Mode
  • Pseudo-distributed Mode
  • Fully distributed mode
  • Pseudo Mode installation and configurations
  • HDFS basic file operations

Hands On:

  • Install Virtual Box Manager and install Hadoop in Pseudo distributed mode.
  • Changes the different Configuration files required for Pseudo Distributed mode.
  • Performs different File Operations on HDFS.

5. Hadoop Developer Tasks

Understand different Phases in Map Reduce including Map, Shuffling, Sorting and Reduce Phases. Get a deep understanding of the Life Cycle of MR in YARN submission. Learn about the Distributed Cache concept in detail with examples.

Write Word count MR Program and monitor the Job using Job Tracker and YARN Console. Also learn about more use cases.

  • Basic API Concepts
  • The Driver Class
  • The Mapper Class
  • The Reducer Class
  • The Combiner Class
  • The Practitioner Class
  • Examining a Sample MapReduce Program with several examples
  • Hadoop's Streaming API

Hands On:

  • Learn about writing MR Job from scratch, writing different Logics in Mapper and Reducer and submitting the MR Job in Standalone and Distributed mode.
  • Also learn about writing Word Count MR Job, Calculating Average Salary of an employee who meets certain conditions and Sales Calculation using MR.
6. Hadoop Ecosystems

6.1 PIG

Understand the importance of PIG in Big Data World, PIG architecture and PIG Latin commands for doing different complex operations on Relations, and also Pig UDF and Aggregation functions with piggy bank library.

Learn how to pass dynamic arguments to Pig Scripts.

  • PIG concepts
  • Install and configure PIG on a cluster
  • PIG Vs MapReduce and SQL
  • Write sample PIG Latin scripts
  • Modes of running PIG
  • PIG UDFs

Hands On:

  • Login to Pig Grunt shell to issue Pig Latin commands in different Execution modes
  • Different ways of loading and transformation on Pig relations lazily
  • Registering UDF in grunt shell and perform Replicated Join Operations

6.2 HIVE

Understand the importance of Hive in the Big Data World. Different ways of configuring HIVE Metastore. Learn different types of tables in hive. Learn how to optimize hive jobs using Partitioning and Bucketing and Passing dynamic Arguments to Hive scripts. You will get an understanding of Joins, UDFS, Views etc.

  • Hive concepts
  • Hive architecture
  • Installing and configuring HIVE
  • Managed tables and external tables
  • Joins in HIVE
  • Multiple ways of inserting data in HIVE tables
  • CTAS, views, alter tables
  • User defined functions in HIVE
  • Hive UDF

Hands On:

  • Executes Hive Queries in different Modes
  • Creates Internal and External tables. Perform Query Optimization by creating tables with Partition and Bucketing Concepts
  • Run System defined and User Define Functions including Explode and Windows Functions

6.3 SQOOP

Learn how to import normally and incrementally data from RDBMS to HDFS and HIVE tables, and also learn how to export the data from HDFS and HIVE tables to RDBMS. Learn Architecture of Sqoop Import and Export.

  • SQOOP concepts
  • SQOOP architecture
  • Install and configure SQOOP
  • Connecting to RDBMS
  • Internal mechanism of import/export
  • Import data from Oracle/MySQL to HIVE
  • Export data to Oracle/MySQL
  • Other SQOOP commands

Hands On:

  • Triggers Shell script to call Sqoop import and Export Commands
  • Learn to automate Sqoop Incremental imports with entering the last value of the appended Column
  • Run Sqoop export from HIVE table directly to RDBMS

6.4 HBASE

Understand different types of NOSQL databases and CAP theorems. Learn different DDL and CRUD operations of HBASE. Understand HBase Architecture and Zookeeper Importance in managing HBase. Learns HBase Column Family optimization and client Side Buffering.

  • HBASE concepts
  • ZOOKEEPER concepts
  • HBASE and Region server architecture
  • File storage architecture
  • NoSQL vs. SQL
  • Defining Schema and basic operations
  • DDLs
  • DMLs
  • HBASE use cases

Hands On:

  • Create HBASE tables using Shell and perform CRUD operations with JAVA API.
  • Change the column family properties and also perform the sharding process
  • Also create tables with multiple splits to improve the performance of HBASE query

6.5 OOZIE

Understand Oozie Architecture and monitor Oozie Workflow using Oozie. Understand how Coordinator and Bundles work along with Workflow in Oozie. Also learn Oozie Commands to submit, Monitor and Kill the Workflow.

  • OOZIE concepts
  • OOZIE architecture
  • Workflow engine
  • Job coordinator
  • Installing and configuring OOZIE
  • HPDL and XML for creating Workflows
  • Nodes in OOZIE
  • Action nodes and Control nodes
  • Accessing OOZIE jobs through CLI, and web console
  • Develop and run sample workflows in OOZIE
  • Run MapReduce programs
  • Run HIVE scripts/jobs

Hands On:

  • Create the Workflow to incremental Imports of Sqoop. Create the Workflow for Pig
  • Hive and Sqoop Exports. And also execute Coordinator to Schedule the Workflows

6.6 FLUME

Understand Flume Architecture and its components Source, Channel and Sinks. Configure flume with Socket, File Sources and HDFS and HBase Sink. Understand Fan In and Fan Out Architecture.

  • FLUME Concepts
  • FLUME Architecture
  • Installation and configurations
  • Executing FLUME jobs

Hands On:

  • Create flume Configurations files and configure with Different Source and Sinks. Stream Twitter Data and create a hive table.

7. Data Analytics using Pentaho as an ETL tool

You will learn Pentaho Big Data Best Practices, Guidelines, and Techniques documents.

  • Data Analytics using Pentaho as an ETL tool
  • Big Data Integration with Zero Coding Required

Hands On:

  • You will use Pentaho as an ETL tool for data analytics

8. Integrations

You will see different Integrations among the Hadoop ecosystem in a Data engineering Flow. Also understand how important it is to create a flow for the ETL process.

  • MapReduce and HIVE integration
  • MapReduce and HBASE integration
  • Java and HIVE integration
  • HIVE - HBASE Integration

Hands On:

  • Uses Storage Handlers for integrating HIVE and HBASE. Integrates HIVE and PIG as well.
What are the prerequisites for learning Big Data Analytics?

There are no prerequisites for attending this course.

Why should I learn Big Data Analytics?

Big Data analytics is important for companies and individuals to utilize data in the most efficient manner to cut costs. Tools such as Hadoop can help identify new sources of Data to help businesses to make quick decisions, to understand market trends and develop new products.

Who should do the Big Data Analytics course?
  • Freshers who would like to build their career in the world of data (this is an introductory course)
  • Those who want to learn Hadoop and Spark
  • 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
How do I become a Big Data Analyst?

To become a Big Data Analyst, you can take up the Big Data Analytics course. The course will help you understand the fundamentals and basics of Apache Hadoop and data ETL, ingestion, processing with Hadoop tools. Learn and understand the Pig framework and Hive framework. Moreover, you will get the opportunity to work on real-world projects as the course is curated by industry experts.

How long is the Big Data Analytics Certificate valid for?

The Big Data Analytics course completion certificate by Innovision Learning has lifetime validity.

What are the career benefits of learning Big Data Analytics?

Big Data Analytics expertise will benefit you in the following ways:

  • Helps you gain problem-solving skills
  • New opportunities for skilled professionals in a variety of industries like aviation, finance, e-commerce, etc.
  • You can select any career path such as project management, security, system architecture, banking etc.
  • Increase in salary as the experience grows.
What should be the system requirements for me to learn Big Data Analytics courses online?
  • RAM: Minimum - 8 GB Recommended - 16GB DDR4
  • Hard Disk Space: 40 GB Recommended - 256 GB
  • Processor: i3 and above
What are the course objectives?
  • Understanding the Core Concepts of Hadoop which includes Hadoop Distributed File System (HDFS) and Map-Reduce(MR)
  • Understanding NO-SQL databases like HBASE and CASSANDRA.
  • Understanding Hadoop Ecosystem like HIVE, PIG, SQOOP and FLUME
  • Acquiring knowledge in other aspects like scheduling Hadoop jobs using Python, R, Ruby. Etc.
  • Developing Batch Analytics applications for UK Web-Based News Channels to Up cast the News and Engage customer with the Customized Recommendations.
  • Integrating Click stream and Sentimental Analytics to the UK Web Based News Channel
  • Hadoop course is divided into five phases:

  • Ingestion Phase (FLUME AND SQOOP),
  • Storage Phase (HDFS and HBASE),
  • Processing Phase(MR, HIVE, PIG, and SPARK),
  • Cluster Management(Standalone and YARN) and
  • Integrations(HCATALOG, ZOOKEEPER and OOZIE)
  • Accelerated career growth
  • Increased pay package due to Hadoop skills
Does this class have any restrictions?

The Big Data Analytics training does not have any restrictions although participants would benefit slightly if they’re familiar with basic programming languages.

How is the Big Data Analytics training conducted?

All of the training programs conducted by us are interactive in nature and fun to learn as a great amount of time is spent on hands-on practical training, use case discussions, and quizzes. An extensive set of collaborative tools and techniques are used by our trainers which will improve your online training experience.

The Big Data Analytics training conducted at Innovision Learning is customized according to the preferences of the learner. The training is conducted in three ways:

Online Classroom Training: You can learn from anywhere through the most preferred virtual live and interactive training.

Self-paced Learning: This way of learning will provide you lifetime access to high-quality, self-paced e-learning materials designed by our team of industry experts.

Team/Corporate Training: In this type of training, a company can either pick an employee or entire team to take online or classroom training. Flexible pricing options, standard Learning Management System (LMS), and enterprise dashboard are the add-on features of this training. Moreover, you can customize your curriculum based on your learning needs and also get post-training support from the expert during your real-time project implementation.

How long will it take to complete the course?
  • The sessions that are conducted include 30 hours of live sessions, with 15 hours MCQs and 8 hours of Assignments and 20 hours of hands-on sessions.
  • Course Duration information:
  • Online training:
  • Duration of 15 sessions.
  • Weekend training:

  • Duration of 5 Weekends.
  • Classes are held 2 days per week on Saturday, Sunday.
  • Note: Each session of 3 hour

What kinds of projects are included as a part of the Big Data Analytics training?
  • These Big Data Analytics training courses have three projects, viz Recommendation Engine, Sentimental Analytics, Click stream Analytics
  • Recommendation Engine: Creating Recommendation system for Online Video Channels with the Historical Data using cubing compared with the Benchmark Values.
  • Sentimental Analytics: Creating Sentimental Analytics by Downloading the Tweets from Twitter and Feeds the trending data to the Application.
  • Click stream Analytics: Performing Clickstream Analytics on the Application data and engaging Customers by Customizing the Articles to the Customer for a UK Web Based Channel
How will you help me if I miss any Big Data Analytics training session?

There are very few chances of you missing any of the Big Data Analytics training sessions at Innovision Learning. But in case you miss any lecture, you have two options:

  • You can watch the online recording of the session
  • You can attend the missed class in any other live batch
How long will the online Big data analytics course recording be available?

The online Apache Spark course recordings will be available to you with lifetime validity.

Is the course material accessible to the students even after the course training is over?

Yes, the students will be able to access the coursework anytime even after the completion of their course.

Why should one take the online Big Data Analytics course? How is it better than the offline course?

Opting for online training is more convenient than classroom training, adding quality to the training mode. Our online students will have someone to help them any time of the day, even after the class ends. This makes sure that people or students are meeting their end learning objectives. Moreover, we provide our learners with lifetime access to our updated course materials.

What will the online classroom experience be like?

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Is this a live training or shall I watch the pre-recorded videos?

This will be live interactive training led by an instructor in a virtual classroom.

Will I get further assistance after completing the training?

We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below info@innovisionlearning.com contact-us.

We also have Slack workspace for the corporate to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.

What is the refund policy?

Typically, Innovision Learning. training is exhaustive and the mentors will help you in understanding the concepts in-depth.

However, if you find it difficult to cope, you may discontinue and withdraw from the course right after the first session as well as avail 100% money back. To learn more about the 100% refund policy, visit our Refund Policy.

How do I enroll in online training?

Visit the following page to register yourself for the Big Data Analytics Training: https://www.innovisionlearning.com/enrollnow

Have More Questions?

Mail us: info@innovisionlearning.com

 

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COURSE FEATURES

  • Lectures 26
  • Quizzes 0
  • Duration 60 Hours
  • Skill level Beginner
  • Language English
  • Students 23
  • Assessments Self