Big Data Course in Pune

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

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

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:
• Counters
• Distributed Cache
• MRunit
• Reduce Join Preview
• Custom Input Format Preview
• 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:
• Introduction to Apache Pig Preview
• MapReduce vs Pig
• Pig Components & Pig Execution
• Pig Data Types & Data Models in Pig
• Pig Latin Programs Preview
• 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:
• Introduction to Apache Hive Preview
• Hive vs Pig
• Hive Architecture and Components Preview
• 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:
• Hive QL: Joining Tables, Dynamic Partitioning Preview
• Custom MapReduce Scripts
• Hive Indexes and views Preview
• Hive Query Optimizers
• Hive Thrift Server
• Hive UDF Preview
• Apache HBase: Introduction to NoSQL Databases and HBase Preview
• HBase v/s RDBMS
• HBase Components
• HBase Architecture Preview
• 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:
• 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

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:
• 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

Analyses of a Online Book Store
• 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.

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

Airlines Analysis
• Find list of Airports operating in Country India
• Find the list of Airlines having zero stops
• List of Airlines operating with codeshare
• Which country (or) territory having highest Airports
• Find the list of Active Airlines in United state

Sample Dataset Description
• In this use case, there are 3 data sets. Final_airlines, routes.dat, airports_mod.dat

Experts design this best Hadoop classes in Pune in the field to prepare you to become a Certified Big Data Practitioner. It is a Big Data course in Pune that offers:

• A thorough understanding of Big Data and Hadoop, including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and MapReduce
• Complete knowledge of all tools that belong to the Hadoop Ecosystem, such as Pig, Hive, Sqoop, Flume, Oozie, and HBase
• The capability to insinuate data from HDFS with the Sqoop & Flume and analyze the vast datasets saved in HDFS.
• Exposure to various real-world initiatives that will carry out through Edureka's CloudLab
• Projects that are multifaceted in scope, covering a range of types of data from different domains like telecom, banking, insurance, social media, and e-commerce.

Active involvement of students throughout this Hadoop course in Pune will help you discover the industry's best practices and standards.

Big Data is one of the fastest-growing and most promising fields, considering all the technology currently available in the IT market in the present. To take advantage of these possibilities, you require an organized Hadoop classes Course with the most up-to-date curriculum in line with current industry standards and best methods.

Alongside knowledge of the theory and a solid conceptual understanding, you should participate in various practical Big Data projects that employ different Big Data and Hadoop tools in your strategy for solving the problem.

In addition, you'll get assistance from Hadoop professionals to resolve your troubleshooting everyday issues that arise while conducting these tasks. This facility is all available through the Big Data Course in Pune.

Hadoop Certification in Pune can help you become a Big Data expert. It will improve your skills by providing complete knowledge regarding the Hadoop framework and the necessary hands-on experience to solve real-time, industry-based Big Data projects. Through your Big Data training online, you will be instructed by our highly experienced instructors to:

Learn the basics of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and Hadoop storage and resource management.

• Learn about the MapReduce Framework.
• Implement complex business solutions with MapReduce
• Learn about data ingestion strategies by using Sqoop and Flume
• Execute ETL operations and data analysis by using Pig and Hive
• Implementing Partitioning, Indexing, and Bucketing in Hive
• Learn about HBase, which is it is a NoSQL Database in Hadoop, HBase Architecture & Mechanisms
• Integrate HBase with Hive
• Schedule jobs using Oozie
• Implement best practices for Hadoop development
• Know Apache Spark and its Ecosystem
• Learn to use RDD within Apache Spark
• Real-world work on Big Data Analytics Project
• Work on an in-real-time Hadoop cluster

The market for Big Data analytics is growing all over the world. This significant growth rate translates into a huge job opportunity for all IT professionals. Managers are searching for certified Big Data Hadoop professionals. The Big Data  course in Pune helps you take advantage of this opportunity and boost your career. This course is suitable for both professionals and freshers. It is suitable to:

• Software Developers, Project Managers
• Software Architects
• ETL and Data Warehousing Professionals
• Data Engineers
• Data Analysts and Business Intelligence Professionals
• DBAs and DB professionals
• Senior IT Professionals
• Professionals in testing
• Mainframe professionals
• Graduates who want to establish a career within the Big Data field

If you want to pursue a career path in Data Science, knowledge of Big Data, Apache Hadoop, and Hadoop tools are essential. Hadoop professionals are among the highest-paid IT professionals, earning pay of around $97K (source payscale), and the market for them is rising rapidly.

These predictions will assist you in understanding the growth of Big Data:

• Hadoop Market is predicted to be $99.31B in 2022 with an annual rate of 42.1 percent. (Forbes).
• McKinsey estimates that by the year 2018, there will be an insufficient number of 1.5M experts in data
• The Average Salary for Big Data Hadoop Developers is $97k

Companies are showing their interest in Big Data and are adopting Hadoop to store and analyze it. Thus, the demand for jobs related to Big Data and Hadoop is overgrowing. If you're interested in making a career in this area, this is the time to start to learn  Big Data course in Pune.

CloudLab is a cloud-based Hadoop and Spark environment that Edureka offers with the Big Data Hadoop Training course where you can execute all the in-class demos and work on real-life Big Data Hadoop projects in a fluent manner. This will not only save you from the trouble of installing and maintaining Hadoop or Spark on a virtual machine but will also provide you an experience of a real Big Data and Hadoop production cluster. You’ll be able to access the CloudLab via your browser which requires minimal hardware configuration in this Big Data Hadoop Online Course. In case you get stuck in any step, our support ninja team is ready to assist 24x7.

You don’t have to worry about the system requirements to take up this Hadoop Certification as you will be executing your practicals on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.

Edureka’s Online Big Data course includes multiple real-time, industry-based projects, which will hone your skills as per current industry standards and prepare you for the upcoming Big Data roles & Hadoop jobs.

Project #1:

Industry: Stock Market

Problem Statement

TickStocks, a small stock trading organization, wants to build a Stock Performance System. You have been tasked to create a solution to predict good and bad stocks based on their history. You also have to build a customized product to handle complex queries such as calculating the covariance between the stocks for each month.

Project #2:

Industry: Health-Care

Problem statement

MobiHeal is a mobile health organization that captures patient’s physical activities, by attaching various sensors on different body parts. These sensors measure the motion of diverse body parts like acceleration, the rate of turn, magnetic field orientation, etc. You have to build a system for effectively deriving information about the motion of different body parts like chest, ankle, etc.

Project #3:

Industry: Social Media

Problem Statement:

Socio-Impact is a social media marketing company which wants to expand its business. They want to find the websites which have a low rank web page. You have been tasked to find the low-rated links based on the user comments, likes etc. 

Project #4:

Industry: Retail

Problem Statement:

A retail company wants to enhance their customer experience by analysing the customer reviews for different products. So that, they can inform the corresponding vendors and manufacturers about the product defects and shortcomings. You have been tasked to analyse the complaints filed under each product & the total number of complaints filed based on the geography, type of product, etc. You also have to figure out the complaints which have no timely response.

Project #5:

Industry: Tourism

Problem Statement:

A new company in the travel domain wants to start their business efficiently, i.e. high profit for low TCO. They want to analyse & find the most frequent & popular tourism destinations for their business. You have been tasked to analyse top tourism destinations that people frequently travel & top locations from where most of the tourism trips start. They also want you to analyze & find the destinations with costly tourism packages.

Project #6:

Industry: Aviation

Problem Statement:

A new airline company wants to start their business efficiently. They are trying to figure out the possible market and their competitors. You have been tasked to analyse & find the most active airports with maximum number of flyers. You also have to analyse the most popular sources & destinations, with the airline companies operating between them.

Project #7:

Industry: Banking and Finance

Problem Statement:

A finance company wants to evaluate their users, on the basis of loans they have taken. They have hired you to find the number of cases per location and categorize the count with respect to the reason for taking a loan. Next, they have also tasked you to display their average risk score.

Project #8:

Industry: Media & Entertainment

Problem Statement: 

A new company in Media and Entertainment domain wants to outsource movie ratings & reviews. They want to know the frequent users who is giving review and rating consistently for most of the movies. You have to analyze different users, based on which user has rated the most number of movies, their occupations & their age-group.