Big Data Training Institute in BTM Layout

 

Big Data Training Institute in BTM Layout, Prwatech India’s Leading Training institute for big data offering the best big data Course to the tech enthusiasts who wanted to brush up skills in the field of big data. Choosing Our big data Training institute in BTM Layout is an ideal option for those who stay in BTM layout locally searching for the best Training institute for big data course. Get the advanced course from the certified industry professionals who got decent experience and skills while working with Top MNC companies.

 

Prwatech offering a deep level understanding of the latest trends of the big data technology with our advanced training center course curriculums. One can get all the benefits of our Big Data Training in BTM Layout modules along with online tutorials for more deep understanding whenever you wanted to learn. We created on dedicated YouTube channel where any of our students can easily access all the missing classes on our official YouTube channel by simply enrolling with our big data training institute in BTM layout. Get trained with certified industry experts who can aid you to understand AWS Course from 0 Level to Advanced Level.

 

Best Big Data Training in BTM Layout

 

Are you the one who is eagerly glancing for the Best Big data Training in BTM with Certification? Or the one who if discovering the best big data course? Or the one who is ready to take the advanced big data training under certified industry experts? Then Prwatech is an Ideal Option for you. Big Data Training Institute in BTM Layout hand outing Best Big Data Training with Certification To all Tech Enthusiasts who are fancy to take a Big Data Course. Our Best Training institute for AWS offering Comprehensive advanced Course for all the students who enrolled with us, so one can get an advanced AWS certification course from certified industry professionals.

 

our official YouTube channel by simply enrolling with our big data training institute in BTM layout.

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Best Big data training institute in BTM layout

 

Don’t choose random trainers from random sources to choose the best big data training institute in BTM layout which filled with industry certified experts with decent Real-time experience. Our Trainers are specialized in the field of big data with massive 15+ years of experience designed big data course which is meeting the current market standards.

 

Prwatech offering world-class classroom training to all our students who enroll with our big data course can get 24*& lab facility, Live projects & 100% Job assistance programs. Then what are you waiting to enroll with big data training institute in BTM layout now and get the advanced course from Prwatech?

Big Data Training in BTM Modules

Module 1: Hadoop Architecture

Learning Objective: In this module, you will understand what is Big Data, What are its limitations of the existing solutions for Big Data problem; How Hadoop solves the Big Data problem, What are the common Hadoop ecosystem components, Hadoop Architecture, HDFS and Map Reduce Framework, and Anatomy of File Write and Read.

Topics,

  • Hadoop Cluster Architecture
  • Hadoop Cluster Mods
  • Multi-Node Hadoop Cluster
  • A Typical Production Hadoop Cluster
  • Map Reduce Job execution
  • Common Hadoop Shell Commands
  • Data Loading Technique: Hadoop Copy Commands
  • Hadoop Project: Data Loading
  • Hadoop Cluster Architecture

Module 2: Hadoop Cluster Configuration and Data Loading

Learning Objective: In this module, you will learn the Hadoop Cluster Architecture and Setup, Important Configuration in Hadoop Cluster and Data Loading Techniques.

Topics,

  • 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

Module 3: Hadoop Multiple node cluster and Architecture

Learning Objective: This module will help you understand multiple hadoop server roles such as Name node & Data node, and Map Reduce data processing. You will also understand the Hadoop 1.0 cluster setup and configuration, steps in setting up Hadoop clients using Hadoop 1.0, and important Hadoop configuration files and parameters.

Topics,

  • Hadoop Installation and Initial Configuration
  • Deploying Hadoop in fully-distributed mode
  • Deploying a multi-node Hadoop cluster
  • Installing Hadoop Clients
  • Hadoop server roles and their usage
  • Rack Awareness
  • Anatomy of Write and Read
  • Replication Pipeline
  • Data Processing

Module 4: Backup, Monitoring, Recovery and Maintenance

Learning Objective : In this module, you will understand all the regular Cluster Administration task such as adding and removing data nodes, name node recovery, configuring backup and recovery in hadoop, Diagnosing the node failure in the cluster, Hadoop upgrade etc.

Topics,

  • Setting up Hadoop Backup
  • White list and Blacklist data nodes in cluster
  • Setup quotas, upgrade hadoop cluster
  • Copy data across clusters using distcp
  • Diagnostics and Recovery
  • Cluster Maintenance
  • Configure rack awareness

Module 5: Flume (Dataset and Analysis)

Learning Objective: Flume is a standard, simple, robust, flexible, and extensible tool for data ingestion from various data producers (web servers) into Hadoop.

Topics,

  • What is Flume?
  • Why Flume
  • Importing Data using Flume
  • Twitter Data Analysis using hive

Module 6: PIG (Analytics using Pig) & PIG LATIN

Learning Objective: In this module, we will learn about analytics with PIG. About Pig Latin scripting, complex data type, different cases to work with PIG. Execution environments, operation & transformation.

Topics,

  • Execution Types
  • Grunt Shell
  • Pig Latin
  • Data Processing
  • Schema on read Primitive data types and complex data types and complex data types
  • Tuples Schema
  • BAG Schema and MAP Schema
  • Loading and storing
  • Validations in PIG, Type casting in PIG
  • Filtering, Grouping & Joining, Debugging commands (Illustrate and Explain)
  • Working with function
  • Types of JOINS in pig and Replicated join in detail
  • SPLITS and Multi query execution
  • Error Handling
  • FLATTEN and ORDER BY parameter
  • Nested for each
  • How to LOAD and WRITE JSON data from PIG
  • Piggy Bank
  • Hands on exercise

Module 7: Sqoop (Real world dataset and analysis)

Learning Objective: This module will cover to Import & Export Data from RDBMS (MySql, Oracle) to HDFS & Vice Versa

Topics,

  • What is Sqoop
  • Why Sqoop
  • Importing and exporting data using sqoop
  • Provisioning Hive Metastore
  • Populating HBase tables
  • SqoopConnectors
  • What are the features of sqoop
  • Multiple cases with HBase using client
  • What are the performance benchmarks in our cluster for sqoop

Module 8: HBase and Zookeeper

Learning Objectives: This module will cover advance HBase concepts. You will also learn what Zookeeper is all about, how I help in monitoring a cluster, why HBase uses zookerper and how to build application with zookeeper.

Topics,

  • The Zookeeper Service: Data Model
  • Operations
  • Implementations
  • Consistency
  • Sessions
  • States

Module 9: Hadoop 2.0, YARN, MRv2

Learning Objective: in this module, you will understand the newly added features in Hadoop 2.0, namely MRv2, Name node High Availability, HDFS federation, and support for Window etc.

Topics,

  • Hadoop 2.0 New Feature: Name Node High Availability
  • HDFS Federation
  • MRv2
  • YARN
  • Running MRv1 in YARN
  • Upgrade your existing MRv1 to MRv2

Module 10: Map-Reduce Basics and Implementation

In this module, will work on Map Reduce Framework. How Map Reduce implement on Data which is stored in HDFS. Know about input split, input format & output format. Overall Map Reduce process & different stages to process the data.

Topics

  • Map Reduce Concepts
  • Mapper Reducer
  • Driver
  • Record Reader
  • Input Split (Input Format (Input Split and Records, Text Input, Binary Input, Multiple Input
  • Overview of InputFileFormat
  • Hadoop Project: Map Reduce Programming

Module 11: Hive and HiveQL

In this module we will discuss a data ware house package which analysis structure data. About Hive installation and loading data. Storing Data in different table.

Topics,

  • Hive Services and Hive Shell
  • Hive Server and Hive Web Interface (HWI)
  • Meta Store
  • Hive QL
  • OLTP vs. OLAP
  • Working with Tables
  • Primitive data types and complex data types
  • Working with Partitions
  • User Defined Functions
  • Hive Bucketed Table and Sampling
  • External partitioned tables, Map the data to the partition in the table
  • Writing the output of one query to another table, multiple inserts
  • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
  • Bucketing and Sorted Bucketing with Dynamic
  • RC File, ORC, SerDe : Regex
  • MAPSIDE JOINS
  • INDEXES and VIEWS
  • Compression on Hive table and Migrating Hive Table
  • How to enable update in HIVE
  • Log Analysis on Hive
  • Access HBase tables using Hive
  • Hands on Exercise

Module 12: Oozie

Learning Objective: Apache Oozie is the tool in which all sort of programs can be pipelined in a desired order to work in Hadoop’s distributed environment. Oozie also provides a mechanism to run the job at a given schedule.

Topics:

  • What is Oozie?
  • Architecture
  • Kinds of Oozie Jobs
  • Configuration Oozie Workflow
  • Developing & Running an Oozie Workflow (Map Reduce, Hive, Pig, Sqoop)
  • Kinds of Nodes

Module 13: Spark

Learning Objectives: This module includes Apache Spark Architecture, How to use Spark with Scala and How to deploy Spark projects to the cloud Machine Learning with Spark. Spark is a unique framework for big data analytics which gives one unique integrated API by developers for the purpose of data scientists and analysts to perform separate tasks.

Topics:

  • Spark Introduction
  • Architecture
  • Functional Programming
  • Collections
  • Spark Streaming
  • Spark SQL
  • Spark MLLib

Why Big data training in BTM layout

 

  • 100% Job Placement Assistance
  • 24*7 Supports
  • Support after completion of Course
  • Mock tests
  • Free Webinar Access
  • Online Training
  • Interview Preparation
  • Real Times Projects
  • Course Completion Certificate
  • Weekly Updates on Latest news about the technology via mailing System
  • During various sessions, one can learn the use of different tools of this framework.

 

Big data Training institute in BTM Layout Reviews

  • Arun Kumar:  Prwatech, One of the decent training institutes for big data training in BTM layout offering the advanced courses. Strongly recommended

 

  • Navya: Trainer is very friendly in nature, I took big data course from watch learned all the advanced concepts from them.

 

  • Vivek: 100% Recommended, this is one of the best place to learn advanced big data course.

Spark Course Bangalore

Rs. 14,000 + Tax

per 2 weeks

35 Hours
Practical 40 Hours
15 Seats
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