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
tarining

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!