Hadoop Training in San Jose, CA

  • 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 San Jose


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

05
Mar
Sun to Thurs(3 weeks)
6:30 PM - 8:30 PM PST
$399

11
Mar
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 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.

Big Data and Hadoop Training in San Jose, CA

McKinsey has predicted the shortage of analytics personnel in 2017 at 200,000 for US alone and this surely is going to pave more big data job opportunities for IT pros in San Jose. Healthcare, consumer appliances, energy sector, manufacturing industry, and banking are few of the important verticals in San Jose where big data analytics plays a prominent role. Shortage of Hadoop talent in California, increasing demand for big data professionals, fatter paychecks and various job titles in different industry verticals, learning hadoop is certainly a smart decision to make this year for IT pros in the Bay Area.

Hadoop Developer Salary in San Jose, CA

  • Average Hadoop Developer Salary in San Jose, CA is $74,000.
  • Average Senior Hadoop Developer Salary in San Jose, CA is $186,000.

Companies Hiring Hadoop Developers in San Jose

 
  • Adobe
  • Century Link
  • Cisco
  • Cyber Coders
  • eBay
  • Experis
  • MapR
  • Mercury Systems
  • Samsung SDSA
  • Xoriant

Hadoop Certification Cost in San Jose, CA- $399

DeZyre's Hadoop Developer Certification Training in San Jose costs around $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 project 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.

Upcoming Classes for Online Hadoop Training in San Jose, CA

February 25th

  • 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

March 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

March 11th

  • 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

Online Hadoop Training Course Reviews

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Hadoop Developers in San Jose, CA

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Hadoop Jobs in San Jose, CA

Big Data Analytics Engineer

Company Name: DRISHTICON
Location: San Francisco, CA
Date Posted: 13th Feb, 2017

Software Engineer - Big Data

Company Name: Net2Source Inc.
Location: San Ramon, CA
Date Posted: 13th Feb, 2017

Data Analyst

Company Name: Latitude36 Inc
Location: san jose, CA
Date Posted: 14th Feb, 2017

Online Hadoop Training MeetUp

Build a Serverless chat bot with on-demand AI web services

Description: Synopsis Over the past year conversational APIs have become very popular in the west, finally catching up with the chat apps of Asia. One of the reasons for this is that companies want to bring their services to wherever the customers are, and today that is chat. Building applications for chat is also far easier than it used to be. With the rise of on-demand AI webservices, you don't have to be a ...

Hosted By: Bay Area Full Stack
Event Time: 2017-02-23 20:00:00

Online Hadoop Training News

Hadoop finds a happier home in the cloud

Description:

Enterprises don't seem to be getting any better at figuring out Hadoop, but that hasn't stopped them from dumping ever-increasing mountains of cash into it.

By Gartner's preliminary estimates, 2016 spend on Hadoop distributions reached $800 million, a 40 percent spike from 2015. Unfortunately, all that spending still only has 14 percent of enterprises actually reporting Hadoop deployments, hardly climbing from 2015's 10 percent.

One bright spot: Hadoop deployments are increasingly moving to the cloud, where they may have a better chance of success.

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

Date Posted: Wed, 15 Feb 2017 03:00:00 -0800

Hadoop vendors make a jumble of security

Description:

A year ago a Deutsche Bank survey of CIOs found that “CIOs are now broadly comfortable with [Hadoop] and see it as a significant part of the future data architecture.” They're so comfortable, in fact, that many CIOs haven’t thought to question Hadoop’s built-in security, leading Gartner analyst Merv Adrian to query, “Can it be that people believe Hadoop is secure? Because it certainly is not.”

That was then, this is now, and the primary Hadoop vendors are getting serious about security. That’s the good news. The bad, however, is that they’re approaching Hadoop security in significantly different ways, which promises to turn big data’s open source poster child into a potential pitfall for vendor lock-in.

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

Date Posted: Mon, 30 Jan 2017 03:00:00 -0800

Apache Eagle keeps an eye on big data usage

Description:

Apache Eagle, originally developed at eBay, then donated to the Apache Software Foundation, fills a big data security niche that remains thinly populated, if not bare: It sniffs out possible security and performance issues with big data frameworks.

To do so, Eagle uses other Apache open source components, such as Kafka, Spark, and Storm, to generate and analyze machine learning models from the behavioral data of big data clusters.

Looking in from the inside

Data for Eagle can come from activity logs for various data source (HDFS, Hive, MapR FS, Cassandra) or from performance metrics harvested directly from frameworks like Spark. The data can then be piped by the Kafka streaming framework into a real-time detection system that's built with Apache Storm or into a model-training system built on Apache Spark. The former's for generating alerts and reports based on existing policies; the latter is for creating machine learning models to drive new policies.

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

Date Posted: Thu, 26 Jan 2017 11:23:00 -0800

Tutorials on Online Hadoop Training

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This free hadoop tutorial is meant for all the professionals aspiring to learn hadoop basics and gives a quick overview of all the hadoop fs commands...


Hadoop Tutorial to understand the implementation of the standard wordcount example and learn how to run a simple wordcount program using mapreduce...

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...