BigData Workshop

(Batches Starts from 23rd Nov, 2020)

About The Program:

With the belief to build a healthy ecosystem as per the Industry Standards REGEX Software brings a Skill Development Program (SDP) on “BIG DATA” for Students/Professionals/Faculties. We organize this Skill Development Program for improving the knowledge and skills of the Students / Professionals / Faculties, so that they can become expert in the field of Big Data.

Timing: 06:00 PM – 08:00 PM [IST]

Duration: 7 Days [15 Hours]

Platform: Google Meet

What you will Learn

  • Big Data Analytics & Hadoop
  • HDFS [ Hadoop Distributed File System ]
  • Map-Reduce [ Data Processing ]
  • HIVE
  • Apache Spark on Azure DataBricks
  • Neo4j Graph Analytics & NoSQL DataBase
  • Amazon EMR
  • Learn how to use these tools in the field of Data Analytics

Study Material

  • Live Sessions + Access of Recorded Session
  • E-Notes and an ISO Certified Certificate
  • Assignments per day
  • Poll test per day
  • 15 hours on demand Live Video Lecture
  • 24*7 Mentorship Support

Output

  • It will help you in Data Analytics Domain
  • Able to think out of the box
  • Expertise in different Big Data Tools like HDFS, Hive, Apache Spark, Amazon EMR
  • Able to solve many Interview Questions of Top MNCs
  • Package of Data Analyst in Big MNCs starts from 6 LPA

Live Sessions

Live Sessions by Expertise Trainers and Access of Recorded Session is also available

Live Projects

Get a chance to work on Industry Oriented Projects to implement your learning

24*7 Support

24*7 Mentorship Support available for all Students to clear all of your doubts

ISO Certification

Get Certificate of Workshop Completion from ISO Certified Company

Our Students Placed In

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Course Content

S.
No.
Topic
1
Day 1
Big Data Analytics & Hadoop :
-> Introduction to the Term Big Data
-> Work of Big Data Analytics
-> Journey to Start as Data Scientist
-> 6 V’s of Big Data
-> Configuring Hadoop Environment in your Local System
-> Cloudera Installation
-> Introduction to Hadoop
HDFS [ Hadoop Distributed File System ] :
-> Components of HDFS – NameNode & DataNode
-> Hadoop Daemons
-> Hadoop Admin & Commands
2
Day 2
Map-Reduce [ Data Processing ] :
-> Introduction to Map-Reduce
-> Map-reduce V1 vs YARN
-> Introduction to YARN
-> FS Image & Secondary Namenode
a) Shuffle, Sorting & Partitioning
b) Map reduce Word-Count Problem – Example
3
Day 3
HIVE
-> Introduction to Hive
-> Difference between SQL & Hive
-> Database & Table Creation
-> Internal vs External Table
-> Functions
a) Date & String Functions
-> PARTITIONING & BUCKETING
a) Static vs Dynamic Partitioning
b) Buckets in Hive
S.
No.
Topic
4
Day 4-5
Apache Spark on Azure DataBricks
-> Introduction to Apache Spark
-> Usage & Workflow of Spark
-> Trick – Account creation on Azure DataBricks
-> RDD – Resilient Distributed DataSet
a) Transformation & Action [Operation]
-> RDD Vs DataFrame
-> DataFrame –
a) Creating DataFrame with several file formats
b) Benefits of using Dataframes
c) Manipulating Data Frame
d) Group By operation on Data Frame
-> Introduction to MLLib
a) Linear Regression – Case study
5
Day 6
Neo4j Graph Analytics & NoSQL DataBase
-> Graph Analytics – Introduction
-> Understanding of Graphs
-> Installing & Running Neo4j
-> HBase – Introduction
-> SQL VS NoSQL [Which is better]
-> NoSQL – Introduction
a) Creating Table & column family
b) Create, retrieve, update & delete operation
-> Hands on learning with NoSQL from scratch
6
Day 7
Amazon EMR
-> Introduction to Cloud
-> Running Hadoop Eco-system on cloud
-> Creating 100 Notes cluster within seconds
Capstone Project

Fee Structure

Indian Fee: ₹1500/- (Flat 80% off) => ₹300/-
International Fee: 50 USD (Flat 80% off) => 10 USD

Enroll Now

(Batches Starts from 23rd Nov, 2020)

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