Big data and hadoop online training

Big data and hadoop online training will make you subject matter expert (SME) on big data and hadoop. Enroll big data hadoop training course today and become as big data and hadoop consultant, developer, administrator, architect and will make you as 3 to 4 years big data hadoop expert.
Big data Hadoop Training Course Overview
RKSOFT is a world best class Quality software training institute in Hyderabad offering Bigdata and Hadoop online training. It also provides IT Big data infrastructure management courses and solutions.

Advantages with RKSOFT:
=> Covers both Big data Hadoop Development, Hadoop Administration and Functional
=> Complete LIVE project explanation
=> 60 Hrs Solid hands on excercises
=> End to End Bigdata Hadoop Workshop
=> Job assistance training in all countries
=> High Quality Bigdata Hadoop Course Content
=> Resume Preparation assistance
=> Bigdata Hadoop Placement assistance
=> Complete course materials

Bigdata Hadoop Course Name: Big Data and Hadoop Developer and Administation Certification course,
Designing and Building Big Data Applications
It will take 10 full days for Instructor-Led training, For Online Training it will take 80 Hrs. This course has been designed to teach you how to create HDFS system and access complete Big Data and Hadoop. You will walk through the entire process of designing and building solutions, including ingesting data, determining the appropriate file format for storage, processing the stored data, and presenting the results to the end-user in an easy-to-digest form.It also provides a technical overview of Apache Hadoop. It includes high-level information about concepts, architecture, operation,installation,configuration, maintenance, security, performance topics and uses of the Hadoop ecosystem.
Big Data & Hadoop basics and fundamentals
Introduction of Big Data
What is Big Data?
What kind of information comes under Big Data?
Advantages of Big Data
Characteristics of big data
Operational Big Data
Analytical Big Data
Traditional data management systems and their limitations
What is Hadoop?
Overview of Hadoop
Why Hadoop
Background of Hadoop
Basic Concepts and Fundamentals of Hadoop
Hadoop eco-system
Hadoop Distributed File System (HDFS)
HDFS Concepts and its Importance
HDFS Deep Dive
HDFS Architecture
Data Replication
HDFS Daemons
Data Flow
What is Map Reduce
Overview of Map Reduce
Importance of Map Reduce
Overview of Map function
importance of Reduce function
What is mapreduce Ordering
What is mapreduce Concurrency
What is mapreduce Shuffle
What is mapreduce Reducing
What is mapreduce Concurrency
big data hadoop Hands-on Exercises
Installing Hadoop in Pseudo Distributed Mode
Understanding Important configuration files
Understanding configuration files Properties and Demon Threads
Accessing HDFS from Command Line
Data ingest
Starting HDFS
Showing the files of HDFS
Display the contents of the directory
recursively display contents in all subdirectories of perticular path.
Display disk usage
Display the summary of disk usage of all files/directories in the perticular path.
Moves the file from Source to Target
Copy the file from Source to Target
Removes the file
Remove all files from directory identified by path
Other hands on excercises
Inserting Data into HDFS
get the Data from HDFS
Map Reduce Basic Exercises
Understanding Big Data Hadoop Ecosystem
Introduction to Sqoop, use cases and Installation
Introduction to Hive, use cases and Installation
Introduction to Pig, use cases and Installation
Introduction to Oozie, use cases and Installation
Introduction to Flume, use cases and Installation
Introduction to Yarn
Map Reduce course content
Mapper & Reducer
Relation between input splits and HDFS blocks.
Map reduce job submission flow of input splits.
How Mapper and Combiner Works
Mapper and Combiners Work
Shuffle & Sort Phase,Combiner & Partitioner.
Map Reduce in detail.
Comparison b/w YARN and MRV1
MapReduce job Execution.
MapReduce Combiner.
Mapreduce Partitioner.
shuffle & Sort Phase.
Job Scheduler
Map reduce job submission flow
Job launch process (Job)
Job launch Process (task)
Job launch process (Task tracker)
Job launch process (Task runner)
Joining Of Files/Datasets
Joining Data sets in Map Reduce.
Distributed cache.
Reduce Joins
Counters
Reduce Join
Input Format
Custom Input Format.
Inverted Indexing.
Map Reduce Inverted Indexing
Hadoop API s
Explanation of MapReduce organization.
How mapper process with detailed example
UNIT TEST
Pig Course objectives
Introduction to Pig
What Is Pig?
Pig s Features
Pig Use Cases
Interacting with Pig
Basic Data Analysis with Pig
Pig Latin Syntax
Loading Data
Simple Data Types
Field Definitions
Data Output
Viewing the Schema
Filtering and Sorting Data
Commonly-Used Functions
Hands-On Exercise: Using Pig for ETL Processing
Processing Complex Data with Pig
Complex/Nested Data Types
Grouping
Iterating Grouped Data
Hands-On Exercise: Analyzing Data with Pig
Multi-Dataset Operations with Pig
Techniques for Combining Data Sets
Joining Data Sets in Pig
Set Operations
Splitting Data Sets
Hands-On Exercise
Hive Course Outline
Introduction to Hive
What Is Hive?
Hive Schema and Data Storage
Comparing Hive to Traditional Databases
Hive vs. Pig
Hive Use Cases
Interacting with Hive
Relational Data Analysis with Hive
Hive Databases and Tables
Basic HiveQL Syntax
Data Types
Joining Data Sets
Common Built-in Functions
Hands-On Exercise: Running Hive Queries on the Shell, Scripts, and Hue
Hive Data Management
Hive Data Formats
Creating Databases and Hive-Managed Tables
Loading Data into Hive
Altering Databases and Tables
Self-Managed Tables
Simplifying Queries with Views
Storing Query Results
Controlling Access to Data
Hands-On Exercise: Data Management with Hive
Hive Optimization
Understanding Query Performance
Partitioning
Bucketing
Indexing Data
Extending Hive
User-Defined Functions
Hands on Exercises Playing with huge data and Querying extensively.
User defined Functions
Optimizing Queries
Tips and Tricks for performance tuning
Big Data and Hadoop Real Time project
Big data case study
Hadoop case study
Hadoop HDFS and Hive Real time project and data ingest into HDFS
Hive ODBC setup and connect to your technology

RKSOFT IT Training Formats:

Learn Big data and Hadoop from the experts for in-depth training on your business analytics software in either classroom or instructor led online formats.

On-demand training availability for students who need training immediately to prepare for project start dates

Learn Big data and Hadoop with the same course content, class exercises and hands-on labs as classroom training without the need to travel. We can Customize the course material to suit your Project business requirement.

Big data and Hadoop Certification provides an industry standard benchmark for technical competence, and offers validation for professionals who work with Big data and Hadoop.

RKSOFT offer you a range of certifications and provide a way for professionals to demonstrate their competence in a competitive marketplace. Hortonworks Certification is highly recognized in the industry.You can enhance career advancement and opportunities.

RKSOFT offers a range of courses to suit your application, role, timeline and preferred learning format. Offered via instructor-led or self-paced courses, Big data and Hadoop standard and customized training programs are designed to match your unique project requirements.

Big data and Hadoop Class duration time: Big data and Hadoop typically run for 10 full days including Hands on Lab

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