Why Big Data Analytics Training pune@Prwatech,
We are India’s Leading Training Institute for Big Data Offering Pro Level Big data Training and 100% placement Assistance to All students who Enrolled with us.
- 100% Job Assurance
- Wi-Fi Class Rooms
- Get trained by the finest qualified professionals
- 100% practical training
- Flexible timings
- Real Time Projects
- Resume Writing Preparation
- Mock Tests & interviews
- Access to Our Learning Management System Platform
- Access to 1000+ Online Video Tutorials
- Weekend and Weekdays batches
- Affordable Fees
- Complete course support
- Guidance till you reaches your goal.
Big Data Technology has emerged as one of the world’s greatest technology which is leading numerous Job opportunities like never seen before. With over 2.6 quintillion bytes of data produced every day, there is a rapidly growing requirement for this technology and to facilitate these requirements we provide excellent training at our big data analytics training pune.
Prwatech helps in nurturing professionals to manage and analyze massive data-sets to reveal business insights. To perform this, specialized knowledge of various tools such as the Big Data ecosystem is required. Job opportunities for talented software engineers in the fields of Big Data are enormous and profitable. Zest to become proficient and well versed in the Big Data environment is all that is required for a fresher.
Having technical experience and proficiency in fields described below can help you move up the ladder to great heights in the IT industry. A Big Data developer is one who has a stronghold on programming languages such as Core Java, SQL jQuery, and other scripting languages. Working knowledge of Big Data related technologies such as Hive, Hbase, and Flume facilitates him in building an exponentially successful career in the IT industry.
Get the best in industry standard learning experience from the certified IT professionals who are carrying massive real-time experience while working with top MNC companies. Explore the technology from scratch to advanced level from the industry-certified working professionals of the best institute for big data analytics. We are the pioneers of institute for big data analytics, assuring that our students can easily capitalize on the most demanding technology in the world without any flaws without advanced courses.
Our Advanced courses on Big Data packed with world-class Classroom training which can able to deliver high-end classroom training experience, so one can really feel the comfort of learning the technology under the world-class trainers. Once the candidate is done with our Certification Course can get access to our YouTube channel which is loaded with Milestone collections of advanced tutorials about the technology which will help to understand or rewind the technology after the course completion.
Our Certification Course offering flexible timings to all of our valuable students, so one can easily navigate to our Big Data training easily without facing any difficulty. Our Trainers are well expertise in terms of understanding the technology how it works in real-time which is making as one of the Training Institute over others.
Our trainers are much aware of the current IT trends which module is more demanding and how to learn that as a pro, not like Newbie. So don’t just dream about to become the Big Data developer to start dreaming to become the certified Pro developer by choosing the Best Trainer.
Are you hungry to step into the advanced learning platform the walk into any of these Prwatech world-class corporate branches? We’re offering both online and offline classes to our students under our certification courses Program, so one can choose either classroom training nor online classes at their convincible timings.
Modules of BiG Data Analytics
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
Our Valuable Students Reviews
Prakash: One of the finest Training institute with promising result oriented course which can boost your career 100% with their advanced certification courses.
Kumar Das: Prwatech organization is truly outstanding that is nurturing the raw candidates into specialized working professionals of big data . They provide a piece of in-depth knowledge and how actually work is done in the industry.
Alponsa: To kick start a career in Analytics field I think the Prwatech training institute is giving better opportunities to everyone. They are giving the best platform to learn by which everyone will be in advantage.
Ananya: I have completed course in Prwatech. Trainers are very experienced as well as their teaching as well it is so good that we need not revise again and again. I am very happy with the overall institute. It is a good place for beginners and experienced guys.
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