AWS Training in Pune kharadi

 

AWS Training in Pune kharadi, We Prwatech India’s Leading E-Learning Platform Make your Amazon Web Services Developer Dream Job comes true with Our Advanced aws training in Pune kharadi. Doesn’t Just Dream to become a Certified Pro Amazon Web Services Developer achieve it with India’s leading Best AWS training in Pune kharadi. Our AWS course providing advanced hands-on real-time Projects which help to handle any type of Project in real-time without any flaws. In brief Our Advanced Amazon Web Services Training in kharadi packed with Best in Industry Certified Professionals who have More than 20+ Amazon Web Services Industry Experience who Can Provide Real-time Experience As per the Current Industry Needs.

 

Are you the one who is very hunger to learn AWS Technology from scratch? The one who is keen to know how this technology works? Then you’re landed on the right place where you can enhance your skills in the field of AWS with Our Advanced Best AWS training in kharadi. Boost your career growth by learning the most demanding technology i.e. AWS from the industry-certified professionals of Best aws training in Pune kharadi. So then choose the best coaching center and get advanced course complete certification with 100% Job Assistance.

 

Best AWS Training in Pune kharadi

 

Step into our AdvancedAWS course today itself and get the Advantage of our pro certification course. Our Amazon Web Services Trainers will guide you to learn the course from Scratch to Advanced Level as a part of Prwatech aws training center in kharadi pune. Our aws training in kharadi Programs includes Certain Activities includes Project Exploration, Hands-on Experience on Real-time Projects, As a result, anyone can easily understand all the modules of AWS Technology Easily.

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Why AWS Training in Pune [email protected]

 

Prwatech,

We’re India’s Leading Training institute for Amazon Web Services offering world-class courses with 100% Job assistance.

  • Wi-Fi Class Rooms
  • Get trained by the finest qualified professionals
  • 100% practical training
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  • Resume Writing Preparation
  • Mock Tests & interviews
  • Access to Our Learning Management System Platform
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  • Weekend and Weekdays batches
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Upgrade Your Self with AWS Training in Pune kharadi!!!

 

The Pune IT market, broadly speaking the IT world currently, gets upgraded with ever-renewing technologies every moment. If one doesn’t have much experience of coding and doesn’t have a good hands-on scripting experience but still wants to make a mark in the technical career that too in the IT sector, AWS Training in kharadi is probably the place one needs to start at. Taking up professional AWS Training in kharadi is thus the best option to get to the depth of this language. If one doesn’t have much experience of coding and doesn’t have a good hands-on scripting experience but still wants to make a mark in the technical career that too in the IT sector, AWS training center in kharadi Pune is probably the place one needs to start at. Taking up a professional AWS training center in kharadi Pune is thus the best option to get to the depth of this language.

 

Modules of Amazon Web Services Training kharadi

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 the 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 tasks 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 the 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 (webservers) 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 reading Primitive data types and complex data types and complex data types
  • Tuples Schema
  • BAG Schema and MAP Schema
  • Loading and storing
  • Validations in PIG, Typecasting 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 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 zookeeper and how to build an 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 Windows, 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

This module will work on Map-Reduce Framework. How Map Reduce implements 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 warehouse package that analysis structure data. About Hive installation and loading data. Storing Data in a different tables.

 

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 sorts of programs can be pipelined in the 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

 

FREQUENTLY ASKED QUESTIONS

1. Does Prwatech provide Placement assistance?

Answer: Yes, we do have a 100% Placement assistance program with us whoever completes aws training center in kharadi pune with us can get it.

2. What are the types/ Modes of Training available?

Answer: Prwatech, Providing two modes of Training for those who are willing to join aws training center in kharadi pune i.e. Classroom Training mode & Online classes. So one can choose the best & comfortable option.

Do Prwatech Provide Course Certification?

Answer: Yes, We do provide the Course which helps to provide advanced certification to the candidates who all are the complete courses with us.

Do Prwatech Provide Video tutorials?

Answer: yes, we do have dedicated YouTube where one can easily get all our Training videos easier

Spark Course Bangalore

Rs. 14,000 + Tax

per 2 weeks

35 Hours
Practical 40 Hours
15 Seats
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Course Certificate

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