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Hadoop Training in Chicago, IL

  • Get Trained for Microsoft Big Data Certification - Learn More
  • Become a Hadoop Developer by getting project experience
  • Build a project portfolio to connect with recruiters
    - Check out Toly's Portfolio
  • Get hands-on experience with access to remote Hadoop cluster
  • Stay updated in your career with lifetime access to live classes

Upcoming Live Hadoop Training in Chicago


25
Nov
Sat and Sun(4 weeks)
7:00 AM - 11:00 AM PST
$399

25
Nov
Sun to Thu(3 weeks)
6:30 PM - 8:30 PM PST
$399

09
Dec
Sat and Sun(4 weeks)
7:00 AM - 11:00 AM PST
$399

Want to work 1 on 1 with a mentor. Choose the project track

About Online Hadoop Training Course

Project Portfolio

Build an online project portfolio with your project code and video explaining your project. This is shared with recruiters.

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42 hrs live hands-on sessions with industry expert

The live interactive sessions will be delivered through online webinars. All sessions are recorded. All instructors are full-time industry Architects with 14+ years of experience.

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Remote Lab and Projects

You will get access to a remote Hadoop cluster for this purpose. Assignments include running MapReduce jobs/Pig & Hive queries. The final project will give you a complete understanding of the Hadoop Ecosystem.

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Lifetime Access & 24x7 Support

Once you enroll for a batch, you are welcome to participate in any future batches free. If you have any doubts, our support team will assist you in clearing your technical doubts.

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Weekly 1-on-1 meetings

If you opt for the Microsoft Track, you will get 8 one-on-one meetings with an experienced Hadoop architect who will act as your mentor.

Big Data Hadoop Training Chicago, IL

Chicago is an emerging leader for big data and hadoop jobs with several companies hiring incredibly impressive bench of hadoop talent pool. There is incredible potential for growth and success within the big data space in Chicago, IL. Big data professionals- hadoop developers, data scientists, spark developers, hadoop administrators, big data architect and others skilled at gleaning valuable insights from the data generated as a part of IoT are in great demand in Chicago. Companies in Chicago are looking for professionals who are skilled with hands-on experience in distributed computing frameworks like Apache Hadoop and Spark. The temperature for skills like Hadoop and Spark is rising high and this is the best time for professionals to hone in their big data skills. A search for big data jobs in Chicago on Indeed job portal listed 1836 job opportunities as of November 24, 2016. With competing hadoop salary and lucrative career growth - learning hadoop is an inevitable option for IT professionals in Chicago, IL.

Hadoop Developer Salary Chicago, IL

  • Average Salary of a Hadoop Developer in Chicago, IL - $63,000
  • Average Salary of a Java Hadoop Developer in Chicago, IL - $136,000
  • Average Salary of a Hadoop Application Developer in Chicago, IL - $139,000

Companies Hiring Hadoop Developers in Chicago, IL

 
  • Databricks
  • Cognizant
  • TM Floyd & Company
  • Experis
  • Epsilon
  • Amazon Web Services, Inc.
  • Bitwise Inc.
  • Accenture
  • Google
  • Capital One
  • Teradata
  • JP Morgan Chase

Hadoop Certification Cost in Chicago, IL - $399

DeZyre's Hadoop Certification in Chicago, IL costs $399 featuring instructor-led online hadoop training and industry-oriented hadoop projects. DeZyre provides hadoop certification to professionals on successful completion and evaluation of the hadoop projects by industry experts.

Benefits of Hadoop Training online

How will this help me get jobs?

  • Display Project Experience in your interviews

    The most important interview question you will get asked is "What experience do you have?". Through the DeZyre live classes, you will build projects, that have been carefully designed in partnership with companies.

  • Connect with recruiters

    The same companies that contribute projects to DeZyre also recruit from us. You will build an online project portfolio, containing your code and video explaining your project. Our corporate partners will connect with you if your project and background suit them.

  • Stay updated in your Career

    Every few weeks there is a new technology release in Big Data. We organise weekly hackathons through which you can learn these new technologies by building projects. These projects get added to your portfolio and make you more desirable to companies.

What if I have any doubts?

For any doubt clearance, you can use:

  • Discussion Forum - Assistant faculty will respond within 24 hours
  • Phone call - Schedule a 30 minute phone call to clear your doubts
  • Skype - Schedule a face to face skype session to go over your doubts

Do you provide placements?

In the last module, DeZyre faculty will assist you with:

  • Resume writing tip to showcase skills you have learnt in the course.
  • Mock interview practice and frequently asked interview questions.
  • Career guidance regarding hiring companies and open positions.

Online Hadoop Training Course Curriculum

Module 1

Introduction to Big Data

  • Rise of Big Data
  • Compare Hadoop vs traditonal systems
  • Hadoop Master-Slave Architecture
  • Understanding HDFS Architecture
  • NameNode, DataNode, Secondary Node
  • Learn about JobTracker, TaskTracker
Module 2

HDFS and MapReduce Architecture

  • Core components of Hadoop
  • Understanding Hadoop Master-Slave Architecture
  • Learn about NameNode, DataNode, Secondary Node
  • Understanding HDFS Architecture
  • Anatomy of Read and Write data on HDFS
  • MapReduce Architecture Flow
  • JobTracker and TaskTracker
Module 3

Hadoop Configuration

  • Hadoop Modes
  • Hadoop Terminal Commands
  • Cluster Configuration
  • Web Ports
  • Hadoop Configuration Files
  • Reporting, Recovery
  • MapReduce in Action
Module 4

Understanding Hadoop MapReduce Framework

  • Overview of the MapReduce Framework
  • Use cases of MapReduce
  • MapReduce Architecture
  • Anatomy of MapReduce Program
  • Mapper/Reducer Class, Driver code
  • Understand Combiner and Partitioner
Module 5

Advance MapReduce - Part 1

  • Write your own Partitioner
  • Writing Map and Reduce in Python
  • Map side/Reduce side Join
  • Distributed Join
  • Distributed Cache
  • Counters
  • Joining Multiple datasets in MapReduce
Module 6

Advance MapReduce - Part 2

  • MapReduce internals
  • Understanding Input Format
  • Custom Input Format
  • Using Writable and Comparable
  • Understanding Output Format
  • Sequence Files
  • JUnit and MRUnit Testing Frameworks
Module 7

Apache Pig

  • PIG vs MapReduce
  • PIG Architecture & Data types
  • PIG Latin Relational Operators
  • PIG Latin Join and CoGroup
  • PIG Latin Group and Union
  • Describe, Explain, Illustrate
  • PIG Latin: File Loaders & UDF
Module 8

Apache Hive and HiveQL

  • What is Hive
  • Hive DDL - Create/Show Database
  • Hive DDL - Create/Show/Drop Tables
  • Hive DML - Load Files & Insert Data
  • Hive SQL - Select, Filter, Join, Group By
  • Hive Architecture & Components
  • Difference between Hive and RDBMS
Module 9

Advance HiveQL

  • Multi-Table Inserts
  • Joins
  • Grouping Sets, Cubes, Rollups
  • Custom Map and Reduce scripts
  • Hive SerDe
  • Hive UDF
  • Hive UDAF
Module 10

Apache Flume, Sqoop, Oozie

  • Sqoop - How Sqoop works
  • Sqoop Architecture
  • Flume - How it works
  • Flume Complex Flow - Multiplexing
  • Oozie - Simple/Complex Flow
  • Oozie Service/ Scheduler
  • Use Cases - Time and Data triggers
Module 11

NoSQL Databases

  • CAP theorem
  • RDBMS vs NoSQL
  • Key Value stores: Memcached, Riak
  • Key Value stores: Redis, Dynamo DB
  • Column Family: Cassandra, HBase
  • Graph Store: Neo4J
  • Document Store: MongoDB, CouchDB
Module 12

Apache HBase

  • When/Why to use HBase
  • HBase Architecture/Storage
  • HBase Data Model
  • HBase Families/ Column Families
  • HBase Master
  • HBase vs RDBMS
  • Access HBase Data
Module 13

Apache Zookeeper

  • What is Zookeeper
  • Zookeeper Data Model
  • ZNokde Types
  • Sequential ZNodes
  • Installing and Configuring
  • Running Zookeeper
  • Zookeeper use cases
Module 14

Hadoop 2.0, YARN, MRv2

  • Hadoop 1.0 Limitations
  • MapReduce Limitations
  • HDFS 2: Architecture
  • HDFS 2: High availability
  • HDFS 2: Federation
  • YARN Architecture
  • Classic vs YARN
  • YARN multitenancy
  • YARN Capacity Scheduler
Module 15

Project

  • Demo of 2 Sample projects.
  • Twitter Project : Which Twitter users get the most retweets? Who is influential in our industry? Using Flume & Hive analyze Twitter data.
  • Sports Statistics : Given a dataset of runs scored by players using Flume and PIG, process this data find runs scored and balls played by each player.
  • NYSE Project : Calculate total volume of each stock using Sqoop and MapReduce.
Module 1

Learn Hadoop on HDInsight (Linux)

  • What is Hadoop on HDInsight?
  • How is data stored in HDInsight?
  • Information about using HDInsight on Linux
  • Using SSH with Linux clusters from a Linux computer
  • SSH Tunneling to HDInsight Linux clusters
Module 2

Processing Big Data with Hadoop in Azure HDInsight

  • Provision an HDInsight cluster.
  • Connect to an HDInsight cluster, upload data, and run MapReduce jobs.
  • Use Hive to store and process data.
  • Process data using Pig.
  • Use custom Python user-defined functions from Hive and Pig.
  • Define and run workflows for data processing using Oozie.
  • Transfer data between HDInsight and databases using Sqoop.
Module 3

Implementing Real-Time Analytics with Hadoop in Azure HDInsight

  • Use HBase to implement low-latency NoSQL data stores.
  • Use Storm to implement real-time streaming analytics solutions.
  • Use Spark for high-performance interactive data analysis.
Module 4

Implementing Predictive Analytics with Spark in Azure HDInsight

  • Using Spark to explore data and prepare for modeling
  • Build supervised machine learning models
  • Evaluate and optimize models
  • Build recommenders and unsupervised machine learning models
Module 5

Project

  • Implement a Big Data Project under the guidance of a Hadoop Architect
  • Upload your project to DeZyre portfolio and display to recruiters

Upcoming Classes for Online Hadoop Training in Chicago, IL

November 25th

  • Duration: 4 weeks
  • Days: Sat and Sun
  • Time: 7:00 AM - 11:00 AM PST
  • 8 thirty minute 1-to-1 meetings with an industry mentor
  • Customized doubt clearing session
  • 1 session per week
  • Total Fees $399
    Pay as little as $66/month for 6 months, during checkout with PayPal
  • Enroll

November 25th

  • Duration: 3 weeks
  • Days: Sun to Thu
  • Time: 6:30 PM - 8:30 PM PST
  • 8 thirty minute 1-to-1 meetings with an industry mentor
  • Customized doubt clearing session
  • 1 session per week
  • Total Fees $399
    Pay as little as $66/month for 6 months, during checkout with PayPal
  • Enroll

December 9th

  • Duration: 4 weeks
  • Days: Sat and Sun
  • Time: 7:00 AM - 11:00 AM PST
  • 8 thirty minute 1-to-1 meetings with an industry mentor
  • Customized doubt clearing session
  • 1 session per week
  • Total Fees $399
    Pay as little as $66/month for 6 months, during checkout with PayPal
  • Enroll

Online Hadoop Training Course Reviews

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Hadoop Developers in Chicago, IL

Big Data and Hadoop Blogs

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Spark MLlib for Scalable Machine Learning with Spark


Cloudera co-founder Mike Olson said in a Strata + Hadoop World keynote – “Spark allowed people to build and deploy scale-out machine learning applications much faster than they had previously done. [Why?] Its flexibility and ...

Recap of Hadoop News for February 2017


News on Hadoop-February 2017 ...

Online Hadoop Training MeetUp

Solve the build vs. buy dilemma and ensure seamless IoT implementation

Description: About Webinar Today, IoT is not just a technology but the greatest mean to digitize business processes, tap into data for better decision-making, and gain competitive advantage. It is understandable that there are enterprises that want a full control over their technology, and thus they want to build their own IoT platform. However, on the other hand, there are some risks associated with it. Sinc ...

Hosted By: Data Science Applications Community (DSAC) - Chicago
Event Time: 2018-11-14 10:30:00

Online Hadoop Training News

LinkedIn open-sources a tool to run TensorFlow on Hadoop

Description:

LinkedIn has open-sourced a project for scaling and managing deep learning jobs in TensorFlow, using the YARN (Yet Another Resource Negotiator) job scheduling system in Hadoop.

The Tony project came about after LinkedIn tried to use two existing open source solutions for running scheduled TensorFlow jobs on Hadoop and found them both wanting. A few projects to run TensorFlow on Hadoop already exist, but LinkedIn was unsatisfied with them. One, TensorFlow on Spark, runs TensorFlow via Apache Spark’s job engine, but it couples too tightly with Spark. Another, TensorFlowOnYARN, provided the same basic functionality as Tony, but is unmaintained and didn’t provide fault tolerance.

To read this article in full, please click here

Date Posted: Thu, 13 Sep 2018 08:40:00 -0700

Matei Zaharia, creator of the Apache Spark project, on the big data framework | True Technologist Ep 2

Description: In this episode of True Technologist, host Eric Knorr talks with Matei Zaharia, chief technologist at Databricks and an assistant professor of computer science at Stanford, about the Apache Spark and Apache Mesos projects
Date Posted: Fri, 07 Sep 2018 03:00:00 -0700

3 big data platforms look beyond Hadoop

Description:

A distributed file system, a MapReduce programming framework, and an extended family of tools for processing huge data sets on large clusters of commodity hardware, Hadoop has been synonymous with “big data” for more than a decade. But no technology can hold the spotlight forever.

To read this article in full, please click here

(Insider Story)
Date Posted: Wed, 18 Jul 2018 03:00:00 -0700

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