Hadoop Training in Dallas, TX

  • 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 Dallas


21
Jan
Sat and Sun(4 weeks)
7:00 AM - 11:00 AM PST
$399

22
Jan
Sun to Thurs(3 weeks)
6:30 PM - 8:30 PM PST
$399

05
Feb
Sun to Thurs(3 weeks)
6:30 PM - 8:30 PM 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 Mentorship Track with Industry Expert, you will get 6 one-on-one meetings with an experienced Hadoop architect who will act as your mentor.

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Money Back Guarantee

DeZyre has a 'No Questions asked' 100% money back guarantee. You can attend the first 2 webinars and if you are not satisfied, please let us know before the 3rd webinar and we will refund your fees.

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.

Upcoming Classes for Online Hadoop Training in Dallas, TX

January 21st

  • Duration: 4 weeks
  • Days: Sat and Sun
  • Time: 7:00 AM - 11:00 AM PST
  • 6 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

January 22nd

  • Duration: 3 weeks
  • Days: Sun to Thurs
  • Time: 6:30 PM - 8:30 PM PST
  • 6 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

February 5th

  • Duration: 3 weeks
  • Days: Sun to Thurs
  • Time: 6:30 PM - 8:30 PM PST
  • 6 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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Big Data and Hadoop Blogs

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Recap of Hadoop News for September


News on Hadoop-September 2016 ...

How Data Partitioning in Spark helps achieve more parallelism?


Apache Spark is the most active open big data tool reshaping the big data market and has reached the tipping point in...

Sqoop Interview Questions and Answers for 2016


Last Update made on January 3,2017. ...

Hadoop Jobs in Dallas, TX

Hadoop Production Services Lead

Company Name: The Brixton Group
Location: Plano, TX
Date Posted: 08th Jan, 2017

Big Data Engineer

Company Name: Connexions Data Inc
Location: Plano, TX
Date Posted: 10th Jan, 2017

Hadoop Full time

Company Name: Simplion Technologies Inc
Location: Dallas, TX
Date Posted: 11th Jan, 2017

Online Hadoop Training MeetUp

Machine Learning Based Behavioral Analytics with Elastic

Description: More companies, from startups to large enterprises, are storing large amounts of structured and unstructured data, especially in Elasticsearch. With 'search' becoming the foundation for many of these companies to address their most complex use cases, users need an an automated way to understand the 'why' in their data and take action on 'difficult to see' insights. Machine Learning is the next ste ...

Hosted By: DFW BigData
Event Time: 2017-01-19 18:00:00

Online Hadoop Training News

Devs will lead us to the big data payoff at last

Description:

In 2011, McKinsey & Co. published a study trumpeting that "the use of big data will underpin new waves of productivity growth and consumer surplus" and called out five areas ripe for a big data bonanza. In personal location data, for example, McKinsey projected a $600 billion increase in economic surplus for consumers. In health care, $300 billion in additional annual value was waiting for that next Hadoop batch process to run.

Five years later, according to a follow-up McKinsey report, we're still waiting for the hype to be fulfilled. A big part of the problem, the report intones, is, well, us: "Developing the right business processes and building capabilities, including both data infrastructure and talent" is hard and mostly unrealized. All that work with Hadoop, Spark, Hive, Kafka, and so on has produced less benefit than we thought it would.

To read this article in full or to leave a comment, please click here

Date Posted: Thu, 22 Dec 2016 03:00:00 -0800

10 things you need to worry about in 2017

Description:

Each year, including last year, I’ve supplied you with “areas of concern”—that is, stuff that might not go well for you or our comrades in the coming 12 months. I’m happy to oblige once again this year with 10 items that may go bump in the night.

Hadoop distributions

Big data, analytics, and machine learning are alive and well, and they’ll eventually transform business in most of the ways they’ve promised. But the big, fat Hadoop distribution is probably toast.

To read this article in full or to leave a comment, please click here

Date Posted: Thu, 17 Nov 2016 03:00:00 -0800

Hadoop, we hardly knew ye

Description:

It wasn’t long ago that Hadoop was destined to be the Next Big Thing, driving the big data movement into every enterprise. Now there are clear signs that we’ve reached “peak Hadoop,” as Ovum analyst Tony Baer styles it. But the clearest indicator of all may simply be that “Hadoop” doesn’t actually have any Hadoop left in it.

Or, as InfoWorld’s Andrew Oliver says it, “The biggest thing you need to know about Hadoop is that it isn’t Hadoop anymore.”

To read this article in full or to leave a comment, please click here

Date Posted: Wed, 16 Nov 2016 03:00:00 -0800

Hadoop Tutorials

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Projects on Online Hadoop Training

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GroupLens Research, which is a research group in the Department of Computer Science and Engineering at the University of Minnesota, operates a movie recommender based on collaborative filtering called MovieLens, which is the source of the data. This dataset (ml-latest) describes 5-star r...