Cloudera Data Analyst Training l 11-14 July2015 | Gurgaon

Cloudera Data Analyst Training l 11-14 July2015 | Gurgaon

 

  • Cloudera Data Analyst Training

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About The Event

Xebia is an official training partner of Cloudera, the leader in Apache Hadoop-based software and services. This four days hands-on data analyst training, focusing on Apache Pig and Hive and Cloudera Impala, will teach you to apply traditional data analytics and business intelligence skills to Big Data. Learn the tools data professionals need to access, manipulate, and analyze complex data sets using SQL and familiar scripting languages.

Please note, that you need to bring your own laptop for this training.

Programme and Course Overview

 

You will benefit from this course if…

  • You are a data analyst, business analyst, developer or administrator,
  • You have experience with SQL and basic UNIX or Linux commands.

Prior knowledge of Java and Apache Hadoop is not required.

What you will achieve:

This training alternates between instructional sessions and hands-on labs.
After completing this 3-day training:

You will know:

  • The fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop tools,
  • How to apply the fundamentals of familiar scripting languages to the Hadoop cluster with Apache Pig.

You will have hands-on experience in: 

  • Joining multiple data sets and analyzing disparate data with Pig,
  • Organizing data into tables, performing transformations, and simplifying complex queries with Hive,
  • Making multi-structures data accessible with Hive.

You will have the skills to:

  • Perform real-time interactive analyses on massive data sets stored in HDFS or HBase using SQL with Impala,
  • Pick the best analysis tool for a given task in Hadoop
  • Enable real-time interactive analysis of the data stored in Hadoop via a native SQL environment with Cloudera Impala.

! Please note, that you need to bring your own laptop for this training. This laptop should meet the following requirements:

  • At least 2GB RAM (4GB or more preferred);
  • 15GB of free hard disk space;
  • VMware Player 5.x or above (Windows)/ VMware Fusion 4.x or above (Mac);
  • Your laptop must support a 64-bit VMware guest image. If the machines are running a 64-bit version of WIndows, or Mac OS X on a Core DUO 2 processor or later, not other test is required. Otherwise, VMware provides a tool to check compatibility, which can be downloaded from http://tiny.cloudera.com/training2;
  • Your laptop must have VT-x virtualization support enabled in the BIOS;
  • If running Windows XP: 7-Zip or WinZip  is needed (due to a bug in Windows XP's built-in Zip utility).

Target Group & Prerequisites:

This course is best suited to data analysts, business analysts, developers and administrators who have experience with SQL and basic UNIX or Linux commands.

Prior knowledge of Java and Apache Hadoop is not required.

 

Trainer: Mr. Bhavuk Chawla

 

Bhavuk is a Professional Instructor & Software Architectwith an exceptional history and experience of over 10 years in leading IT projects involving complex functional as well as non-functional requirements. He has gotHadoop Instructor accreditations from Cloudera.

Bhavuk worked in various domains includingeCommerce, Insurance and Location Intelligence. Bhavuk has strong background in Designing, Architecture of Enterprise applications, Java, Spring, HDFS, Map Reduce, Pig, Hive, Impala, Hadoop Administration, Google Search Appliance, Demandware eCommerce Platform, Google Analytics, Maven, Enterprise Architect, Social Integration via OAuth etc. He is actively involved in imparting trainings on various technologies including Google Search Appliance, HDFS, Map Reduce, Hive, Pig, Impala, Java, Software Craftsmanship etc.

Bhavuk has a strong expertise working on IaaS, PaaS and SaaS based environments. He has been consulting several CMM 5 organizations on best practice implementation, coding standard implementation, improve programming efficiency and code coverage, and implement automation testing and continuous integration processes.

Some of the automation tool, Bhavuk has been working & consulting on includes: Cruise Control, Jenkins, Hudson. Among the collaboration software, Bhavuk has an extensive experience with JIRA, both development and administration.

His corporate work experience includes, Technical Architect at Sapient Consulting Pvt. Limited and Solutions Architect at Pitney Bowes Software.

Areas of training Expertise

  • Software Craftsmanship – Software Design Principles (DRY, YAGNI, Solid Design Principles, Refactoring, Clean code), Software Design Patterns (Structured, Behaviour, Creational, Anti-patterns etc.), Test Driven Development (Junit, Mocks and Stubs, Pair Programming)
  • Big Data technologies – HDFS, Map Reduce, Pig, Hive, Impala, Hadoop Administration
  • Code Analysis & Performance Optimization: Application health check, code & architecture health check, emphasis on heap and thread dump analysis, memory management for domain specific application.

Technology Initiatives and Awards

  • Participated in Hackathon organized by Sapient – 12 hours programming contest in year 2013
  • Participated in Hackathon organized by Xebia – 24 hours programming contest in year 2015
  • Mentoring 3rd year Computer science students in University of Petroleum and Energy Science
  • Guest lecturer in University of Petroleum and Energy Science
  • Won “Made a difference” award in Sapient in year 2013
  • Won “Shining Star of the year” award in Sunlife in year 2010
  • Won Power Programmer award in Infosys in year 2006
  • 67th Rank Holder in Common Entrance Exam for Delhi College of Engineering
  • 16th Rank Holder in Punjab Technical University

 

Cost:-

Training & Certification: INR 79,800 + Service Tax @ 14% = INR 90,972/- per participant 

 

Kindly find payment link below to make payment & confirm your participation;

http://training.xebia.in/payment-form

 

Feel free to call/write for any further query.

Suruchi Khanna

M: +91 – 8800200596 | E: skhanna@xebia.com

F: +91-124-4700264