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Jayvant Desale

Big Data - Hadoop, HDP2.0 Data Analyst Pig, Hive, HCatlog, Flume, Oozie, HBase, Sqoop and other ecosystem Worx, Hortonworks, MapR and Cludera Developer HTML5,CSS3, Jquery, PHP, ASP.NET(C#), JAVA(CORE,J2EE), MongoDb(NoSQL), MySql, MSSQL, Oracle
More Details

How do you make the most of Bigdata?

Day 1 Session 1 10:00 AM – 11:30 AM
Module 1 : Modern Data Architecture and Journey to Data Lake
Day 1 Session 2 11:45 AM – 1:00 PM

Module 2 : YARN: Traditional to Modern Big-Data-Hadoop

Day 1 Session 3 1:45 PM – 3:15 PM

Module 3 : Hadoop in the Real World: Stories from Practitioners who are using

Day 1 Session 4 3:30 PM – 5:00 PM

Module 4 : Hadoop to Transform their Business

Module 5 : An Introduction to Big Data

Day 2 Session 1 10:00 AM – 11:30 AM

Module 6 : An Introduction to Big Data Analytics

Day 2 Session 2 11:45 AM – 1:00 PM

Module 7 : Big Data Platforms and Storage Options

Day 2 Session 3 1:45 PM – 3:15 PM

Module 8 : Big Data Integration & Governance in a Multi-Platform Analytical Environment

Day 2 Session 4 3:30 PM – 5:00 PM

Module 9 : Tools and Techniques for Analyzing Big Data

Module 10 : Integrating Big Data Analytics into the Enterprise

Program Information
  • Date :
    06-07 February 2018
  • Time :
    10 am - 5pm
  • Duration:
    16 Hours (Two days)
  • Registration last Date:
    30 January 2018

Registration Fees
  • For Professionals:
    BDT 3000
  • For Full Time Students:
    BDT 2500
Register before 25 Jan & Get 10% Early Bird discount

Venue

Bangladesh Computer Samity

House # 33/B
(Ground floor & 2nd floor)

Road # 04, Dhanmondi R/A
Dhaka-1205

Payment Method
01713493241

OR (CASH)
BSDI Office (H#2B, R#12, Mirpur Road, Dhanmondi, Dhaka or Cheque in name of Bangladesh Skill Development Institute

Resource Person

Jayvant Desale, Vinsys, India

Big Data - Hadoop, HDP2.0 Data Analyst Pig, Hive, HCatlog, Flume, Oozie, HBase, Sqoop and other ecosystem Worx, Hortonworks, MapR and Cludera Developer HTML5,CSS3, Jquery, PHP, ASP.NET(C#), JAVA(CORE,J2EE), MongoDb(NoSQL), MySql, MSSQL, Oracle