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Hadoop Training

The Hadoop Development course covers the necessary skill set for students to set up a Hadoop cluster, store large amounts of data using Hadoop (HDFS), and process and analyze the data using Map-Reduce programming or other Hadoop ecosystems. Watch a real-time expert’s Hadoop training demonstration with Tech centerpoint.

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Basic Unix Commands
Core Java (OOPS Concepts, Collections , Exceptions ) for Map Reduce Programming
SQL Query knowledge for Hive Queries

Any Linux flavor OS (Ex: Ubuntu/Cent OS/Fedora/RedHat Linux) with 4 GB RAM (minimum), 100 GB HDD
Java 1.6+
Open-SSH server & client
MYSQL Database
Eclipse IDE
VM Ware (To use Linux OS along with Windows OS)

High Availability
Scaling
Advantages and Challenges

Hadoop Distributed File System
Comparing Hadoop & SQL
Industries using Hadoop
Data Locality
Hadoop Architecture
Map Reduce & HDFS
Using the Hadoop single node image (Clone)

HDFS Design & Concepts
Blocks, Name nodes and Data nodes
HDFS High-Availability and HDFS Federation
Hadoop DFS The Command-Line Interface
Basic File System Operations
Anatomy of File Read,File Write
Block Placement Policy and Modes
More detailed explanation about Configuration files
Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
FSCK Utility. (Block report)
How to override default configuration at system level and Programming level
HDFS Federation
ZOOKEEPER Leader Election Algorithm
Exercise and small use case on HDFS

Map Reduce Functional Programming Basics
Map and Reduce Basics
How Map Reduce Works
Anatomy of a Map Reduce Job Run
Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
Job Completion, Failures
Shuffling and Sorting
Splits, Record reader, Partition, Types of partitions & Combiner
Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
Types of Schedulers and Counters
Comparisons between Old and New API at code and Architecture Level
Getting the data from RDBMS into HDFS using Custom data types
Distributed Cache and Hadoop Streaming (Python, Ruby and R)
YARN
Sequential Files and Map Files
Enabling Compression Codec’s
Map side Join with distributed Cache
Types of I/O Formats: Multiple outputs, NLINE input format
Handling small files using Combine File Input Format

Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
Sorting files using Hadoop Configuration API discussion
Emulating “grep” for searching inside a file in Hadoop
DBInput Format
Job Dependency API discussion
Input Format API discussion,Split API discussion
Custom Data type creation in Hadoop

ACID in RDBMS and BASE in NoSQL
CAP Theorem and Types of Consistency
Types of NoSQL Databases in detail
Columnar Databases in Detail (HBASE and CASSANDRA)
TTL, Bloom Filters and Compensation

HBase Installation, Concepts
HBase Data Model and Comparison between RDBMS and NOSQL
Master & Region Servers
HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
Catalog Tables
Block Cache and sharding
SPLITS
DATA Modeling (Sequential, Salted, Promoted and Random Keys)
JAVA API’s and Rest Interface
Client Side Buffering and Process 1 million records using Client side Buffering
HBase Counters
Enabling Replication and HBase RAW Scans
HBase Filters
Bulk Loading and Co processors (Endpoints and Observers with programs)
Real world use case consisting of HDFS,MR and HBASE

Data scraping: What is it?
Using Data Scraping Wizard: Steps and an Example
Screen scraping: What is it?
Methods for Screen Scraping
Screen Scraping Wizard Instructions with an Example

Hive Installation, Introduction and Architecture
Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
Meta store, Hive QL
OLTP vs. OLAP
Working with Tables
Primitive data types and complex data types
Working with Partitions
User Defined Functions
Hive Bucketed Tables and Sampling
External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
Dynamic Partition
Differences between ORDER BY, DISTRIBUTE BY and SORT BY
Bucketing and Sorted Bucketing with Dynamic partition
RC File
INDEXES and VIEWS
MAPSIDE JOINS
Compression on hive tables and Migrating Hive tables
Dynamic substation of Hive and Different ways of running Hive
How to enable Update in HIVE
Log Analysis on Hive
Access HBASE tables using Hive
Hands on Exercises

Pig Installation
Execution Types
Grunt Shell
Pig Latin
Data Processing
Schema on read
Primitive data types and complex data types
Tuple schema, BAG Schema and MAP Schema
Loading and Storing
Filtering, Grouping and Joining
Debugging commands (Illustrate and Explain)
Validations,Type casting in PIG
Working with Functions
User Defined Functions
Types of JOINS in pig and Replicated Join in detail
SPLITS and Multiquery execution
Error Handling, FLATTEN and ORDER BY
Parameter Substitution
Nested For Each
User Defined Functions, Dynamic Invokers and Macros
How to access HBASE using PIG, Load and Write JSON DATA using PIG
Piggy Bank
Hands on Exercises

Spark Overview
Linking with Spark, Initializing Spark
Using the Shell
Resilient Distributed Datasets (RDDs)
Parallelized Collections
External Datasets
RDD Operations
Basics, Passing Functions to Spark
Working with Key-Value Pairs
Transformations
Actions
RDD Persistence
Which Storage Level to Choose?
Removing Data
Shared Variables
Broadcast Variables
Accumulators
Deploying to a Cluster
Unit Testing
Migrating from pre-1.0 Versions of Spark
Where to Go from Here

+4 More Lessons

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Hadoop Training - Projects

Project - 1

Data Migration Project

More data makes legacy technologies like a relational database management system (RDBMS) difficult to use for business analysis. Smart companies employ Hadoop toolkits. Its strong commodity hardware mines enormous data sets.

Project - 2

Use Case for Scalability

Apache Spark, which runs MapReduce workloads concurrently on Hadoop, handles scalability. This Spark-based technique provides a near-real-time interactive query processing stage. Hadoop beginners can use the Map Reduce function.

Hadoop Training - Key Features

Job Assistence & Support

We'd do everything in our power to make sure you excelled at work.

24x7 Support

Multiple options (Email,Phone or Live Chat)exist to guarantee that your problem is resolved as soon as possible.

Job Oriented Curriculum

Best-in-class curriculum is totally adaptable to meet your needs and prepareyou for the job and certification.

Real world projects

Best-in-class instructors will lead trainees through exercies based on real-world projects.

Hadoop Training - Key Features

Job Assistence & Support

We'd do everything in our power to make sure you excelled at work.

24x7 Support

Multiple options (Email,Phone or Live Chat)exist to guarantee that your problem is resolved as soon as possible.

Job Oriented Curriculum

Best-in-class curriculum is totally adaptable to meet your needs and prepareyou for the job and certification.

Real world projects

Best-in-class instructors will lead trainees through exercies based on real-world projects.

Hadoop Training - Upcoming Batches

Weekday
Week-end

Tab 1

21 November 2024

8:00 AM IST

28 November 2024

8:00 AM IST

5 December 2024

8:00 AM IST

Tab 2

23 November 2024

8:00 AM IST

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Everything you need to grow

₹ 14,000

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Hadoop Training - Training Options

Live Online Training

Interact live with industrial experts.
Flexible Schedule
Customizable Curriculum

Get Quote Now

1:1 Live Online Training

Dedicated Trainer for you
1:1 Total Online Training
Life-time LMS Access
Life-time LMS Access

Self-Paced E-Learning

Get E-Learning Videos
Learn Whenever & Wherever
Lifetime free Upgrade

Get Sample Video

Corporate Training

Customized Training
Live Online/Classroom/Self-paced
10+ years Industrial Expert Trainers

Scale up with our premium features - Post Training

Career Advice

If you let us know what your goals are for the field, we can point you in the proper way.

Mock Interviews

Once you know the skills, We recommended you understand the detail

Resume Builder

Count on our team to assist you in drafting a stellar resume for your future in the workforce.

Community Support

Obtain expertise, job support, and interview coaching from our community

Self-paced videos

Will have unrestricted access to your library of self-paced training videos for the rest of their lives.

Quizzes to scale

Immense value may be gained from testing your knowledge from any angle you can think of.

Hadoop Training - FAQS

General
Self-Paced
Online
Corporate

Tab 1

Through our LMS, you can access the recording of the missed lesson.

Yes, we have a customised training curriculum and programme to complete.

There are, in fact, both group and referal discounts available.

The instructor will give you with all the required resources and guidance to obtain certification independently

Yes, our trainer will assist you in drafting the ideal resume for your desired position.

Yes, we provide placement assistance by conducting simulated interviews, crafting resumes, and emailing your profile to our corporate clients.

Tab 2

You can change your training mode, however the cost will be prorated depending on whatever option you first choose.

Training at your own speed allows you to study whenever you like, with no time constraints.

Yes, it varies from course to course.

Tab 3

yes. only first 3 sessions

very few times, and depends on the Trainer

Yes, we will arrange another trainer if that is acceptable; if not, you can receive a refund.

Tab 4

Yes, we can provide resources if they are available.

Yes, we can tailer t the course content and schedule the sessions to fit the needs of your project.

No, we provide assistance

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TECH CENTERPOINT

TechCenterPoint - Online global training platform connecting individuals with the best trainers around the globe. With the diverse range of courses, Training Materials, Resume formats and On Job Support, we have it all covered to get into IT Career. Instructor-Led Training

COMPANY

POPULER COURSES

CONTACT

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Hadoop Training

Hadoop Training - Curriculum

Request for more information

Request For Live Demo Class

Hadoop Training - Projects

Project - 1

Data Migration Project

Project - 2

Use Case for Scalability

Hadoop Training - Key Features

Job Assistence & Support

24x7 Support

Job Oriented Curriculum

Real world projects

Hadoop Training - Key Features

Job Assistence & Support

24x7 Support

Job Oriented Curriculum

Real world projects

Hadoop Training - Upcoming Batches

Tab 1

Tab 2

Get Started Today

Hadoop Training - Training Options

Live Online Training

1:1 Live Online Training

Self-Paced E-Learning

Corporate Training

Scale up with our premium features - Post Training

Career Advice

Mock Interviews

Resume Builder

Community Support

Self-paced videos

Quizzes to scale

Hadoop Training - FAQS

Tab 1

Tab 2

Tab 3

Tab 4

Recommended Course