Best Hadoop Training in California

Hadoop Training in California brings you one-step closer to achieving a stable position in the world of Big Data. Our seasoned instructors introduce the basics & core concepts of the Hadoop framework including Apache, Pig, Hive, Yarn, MapReduce, HBase, etc. The training focuses on all the components of Hadoop ecosystem and how they fit in Big Data processing.
Hadoop is like a golden goose for IT professionals, the more skills you acquire in this framework, the more you are likely to relish higher paychecks. SynergisticIT is one of the top Hadoop training providers in the bay area. We teach the latest industry relevant Hadoop practices which makes students eligible for high-level jobs.

Big Data Bootcamp in California

The tech market creates thousands of Hadoop jobs each day, yet the positions remain vacant due to the scarcity of required skills. We being a well-known Big Data bootcamp in California specializes in bridging the skill-gap by training students in Hadoop. You can seize this opportunity to adept Hadoop technology and build successful career in Big Data.
Our comprehensive curriculum gives you updated knowledge of Hadoop frameworks, data integration, data processing, MapReduce Cloudera navigation, along with hands on learning in debugging techniques, data extraction, & best practices of Hadoop.
At the end of this training you will become competent in the key domains of Hadoop, namely, Developer, Analyst, Administrator, and Testing. It opens the door for premier job positions like Hadoop Developer, Big Data Architect, Data Scientist, Data Engineer, Hadoop Tester, and Hadoop Administrator.

What will you learn in Hadoop training in California?

Both Hadoop & Big Data are inseparable, wherein the former is the solution of the latter. Hadoop is an open source platform that has a unique storage method which enables excellent data management. It supports data processing of larger sets into a distributed computing environment. Considering the surge in the demand for Hadoop professionals, we provide exclusive Hadoop training. Have a look at our Hadoop training curriculum:

Module 1

Module 1: Introduction to Big data

What is data, Types of data, what is big data?
Evolution of big data, Need for Big data Analytics
Sources of data, how to define big data using three V’s

Module 2

Introduction to Apache Hadoop and the Hadoop Ecosystem

Apache Hadoop Overview
Data Ingestion and Storage
Data Processing
Data Analysis and Exploration
Other Ecosystem Tools
Activity: Querying Hadoop Data

Module 3

Getting started with Cloudera QuickStart VM

Getting started with Bigdata Hadoop Cluster with Cloudera CDH
Creating Virtual environment demo
QuickStartVM CDH Navigation
Introduction to Cloudera Manager

Module 4

Apache Hadoop File Storage (HDFS)

Apache Hadoop Cluster Components
HDFS Architecture
Using HDFS
Activity: Accessing HDFS with the Command Line and Hue
Understanding the HDFS architecture
Understand Blocks and how to configure block size
Block replication and replication factor
Understand Hadoop Rack Awareness and configure racks in Hadoop
File read and write anatomy in in HDFS
Configure HDFS Name and Space Quota
Hadoop NameNode/DataNode directory structure
How to add New Data Node dynamically
How to decommission a Data Node dynamically (Without stopping cluster). Data Processing and Replication Pipeline

Module 5

Distributed Processing on an Apache Hadoop Cluster

YARN Architecture
Working With YARN
Activity: Running and Monitoring a YARN Job

Module 6

MapReduce

Introduction & Concepts of MapReduce
Understanding how the distributed processing solves the big data challenge and how MapReduce helps to solve that problem
Understanding the concept of Mappers and Reducers
Phases of a MapReduce program
Data-types in Hadoop MapReduce
Role of InputSplit and RecordReader
Input format and Output format in Hadoop
Running and Monitoring MapReduce jobs
Writing your own MapReduce job using MapReduce API
Difference between Hadoop 1 & Hadoop 2
The Hadoop Java API for MapReduce
Writing and Executing the Basic MapReduce Program using Java
Submission & Initialization of MapReduce Job
Testing, debugging project through eclipse and then finally packaging, deploying the code on Hadoop Cluster

Module 7

Hive

Data Definition and Description, Understanding Hive data types
Data type conversions, Hive Data Definition Language
Hive internal and external tables, partitions, buckets, views
Joins Inner, outer, cross, Map Join, union All
Data exchange – LOAD, INSERT, EXPORT and IMPORT, ORDER, SORT
Operators and functions, Transactions
Performance & utilities EXPLAIN, ANALYZE statement
Optimization Design, CBO, Storage
Serialization & Deserializations.

Module 8

Pig

What is Apache Pig
Why Apache Pig
Features of Pig features
Where should you use Pig and where not to use Pig
Pig Architecture and components
PIG running modes
Execution mechanism and data processing
Writing UDFs & Macros in Pig

Module 9

Sqoop

Learn about importing Data
Hadoop Ecosystem Integration
Specialized Connectors, Export data from HDFS
Setting up RDBMS Server and creating & loading datasets into RDBMS MySQL
Writing the Sqoop Import Commands to transfer data from RDBMS to HDFS/Hive/HBase.

Module 10

Flume

Installation & Introduction to Flume
Flume Agents: Sources, Channels and Sinks,
Flume Commands, Flume use Cases,
How to load data in Hadoop that is coming from web server or other storage,
How to load streaming data from Twitter data in HDFS using Hadoop

Module 11

HBase

Introduction to NoSQL Databases and HBase.
HBase v/s RDBMS, HBase Components, HBase Architecture
HBase Data Model and Comparison between RDBMS and NOSQL
Master & Region Servers
HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
Client-Side Buffering and Process 1 million records using Client-side Buffering
Enabling Replication and HBASE RAW Scans

Module 12

Oozie

Oozie: Components
Oozie workflow creations
Scheduling with Oozie
Concepts on Coordinators and Bundles Client Nodes
Hands-on Training on Oozie Workflow
Oozie for MapReduce Hive in Oozie
An Overview of Hue
Job assignment & Execution flow

Benefits of Best Hadoop Training in the Bay Area

As many businesses are facing difficulty in managing data, Hadoop comes to their rescue. It helps in processing large volume of data in a faster manner, thus offering various benefits at organizational and individual level. Hadoop is ranked at 1st position amongst 46 Big Data processing technologies.
Here are some benefits of enrolling in our Hadoop training program:

Get trained by the Hadoop industry- experts.
Hadoop upskilling is a smart career choice as there is a shortage of 1.4 to1.9 million Hadoop professions in the U.S. alone.
The global Hadoop market is expected to reach $84.6 Billion by 2021.
You can build a career across diverse industries like Finance, Healthcare, Real-Estate, Automobile, Entertainment, etc.

Prerequisites

Before undertaking Big Data & Hadoop training, candidates are recommended to have the knowledge of Core Java in addition to the basic understanding of SQL and Linux. This training program is best suited for IT, analytics, and data management professionals who are looking to enhance their scope in Big Data.

Hadoop has a vital role to play in the near future with more companies harnessing the power of Hadoop for Big Data management. So, get future ready by learning Hadoop for your career growth. Get the best Hadoop training in California from certified mentors. Let’s help you meet your career goals. SynergisticIT- – The Best Programmers in the Bay area…Period!