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Hadoop Training And Job Placement in Sans America
Most of your training time is spent in hands-on practice, enabling you to master the methods and techniques that professional BAs use on the job.
Collaborative Learning and Career Building
At the end of most Hadoop Training And Job Placement lessons, you'll have access to an online discussion. Engaging actively and constructively in these discussions can significantly boost your Hadoop career development. By offering help or seeking assistance from the trainers, you’ll build meaningful relationships and create valuable professional connections.
These discussions are more than just a conversation to share ideas—they're designed to accelerate your Hadoop learning journey. That's why it is made an essential part of our courses: to support your growth and help you enhance your Hadoop skills through collaboration and shared insights.
Advantages of enrolling up for Hadoop Training And Job Placement
- Online Training
- Classroom Training
- Placements
- Visa Assistance
- Accommodation
- F1
- H4
- OPT
- CPT
- EAD
- GC
- US CITIZEN
- H1B Transfer
- H1B Masters
- H1B Regular
- L1
- L2
Details to know about Hadoop Training And Job Placement
HADOOP Administration Online Training
Course Modules:
BASIC HADOOP
- Introduction and Overview of Hadoop
- Hadoop Distributed FileSystem (HDFS)
- HBase - The Hadoop Database
- Map/Reduce 2.0/YARN
- MapReduce Workflows
- Pig
- Hive
- Sqoop
- Putting it all together
ADVANCED HADOOP
- Integrating Hadoop Into The Workflow
- Delving Deeper Into The Hadoop API
- Common Map Reduce Algorithms
- Using Hive and Pig
- Practical Development Tips and Techniques
- More Advanced Map Reduce Programming
- Joining Data Sets in Map Reduce
- Graph Manipulation in Hadoop
- Creating Workflows With Oozie
- HANDS ON EXCERCISE
Attendees also learn:
- Resume Preparation Guidelines and Tips
- Mock Interviews and Interview Preparation Tips
Topics Covered
BASIC HADOOP
Introduction and Overview of Hadoop
- What is Hadoop?
- History of Hadoop.
- Building Blocks - Hadoop Eco-System.
- Who is behind Hadoop?
- What Hadoop is good for and what it is not?
Hadoop Distributed FileSystem (HDFS)
- HDFS Overview and Architecture
- HDFS Installation
- HDFS Use Cases
- Hadoop FileSystem Shell
- FileSystem Java API
- Hadoop Configuration
HBase - The Hadoop Database
- HBase Overview and Architecture
- HBase Installation
- HBase Shell
- Java Client API
- Java Administrative API
- Filters
- Scan Caching and Batching
- Key Design
- Table Design
Map/Reduce 2.0/YARN
- MapReduce 2.0 and YARN Overview
- MapReduce 2.0 and YARN Architecture
- Installation
- YARN and MapReduce Command Line Tools
- Developing MapReduce Jobs
- Input and Output Formats
- HDFS and HBase as Source and Sink
- Job Configuration
- Job Submission and Monitoring
- Anatomy of Mappers, Reducers, Combiners and Partitioners/li>
- Anatomy of Job Execution on YARN
- Distributed Cache
- Hadoop Streaming
MapReduce Workflows
- Decomposing Problems into MapReduce Workflow
- Using Job Control
- Oozie Introduction and Architecture
- Oozie Installation
- Developing, deploying, and Executing Oozie Workflows
Pig
- Pig Overview
- Installation
- Pig Latin
- Developing Pig Scripts
- Processing Big Data with Pig
- Joining data-sets with Pig
Hive
- Hive Overview
- Installation
- Hive QL
Sqoop
- Introduction
- Sqoop Tools
- Sqoop Import
- Sqoop Import all tables
- Sqoop Export
- Sqoop Job
- Sqoop metastore
- Sqoop Eval
- Sqoop Codegen
- Sqoop List Databases and List Tables
- Sqoop Create Hive Table
Putting it all together
- Distributed installations
- Best Practices
ADVANCED HADOOP:-
Outline:
Our Advanced Hadoop is an extension of Essential Hadoop Module designed with objective of in-depth coverage with case study illustration.
Integrating Hadoop into the Workflow
- Relational Database Management Systems
- Storage Systems
- Importing Data from RDBMSs With Sqoop
- Hands-on exercise
- Importing Real-Time Data with Flume
- Accessing HDFS Using FuseDFS and Hoop
Delving Deeper Into the Hadoop API
- More about ToolRunner
- Testing with MRUnit
- Reducing Intermediate Data With Combiners
- The configure and close methods for Map/Reduce Setup and Teardown
- Writing Partitioners for Better Load Balancing
- Hands-On Exercise
- Directly Accessing HDFS
- Using the Distributed Cache
- Hands-On Exercise
Common MapReduce Algorithms
- Sorting and Searching
- Indexing
- Machine Learning With Mahout
- Term Frequency - Inverse Document Frequency
- Word Co-Occurrence
- Hands-On Exercise
Using Hive and Pig
- Hive Basics
- Pig Basics
- Hands-on exercise
Practical Development Tips and Techniques
- Debugging MapReduce Code
- Using LocalJobRunner Mode For Easier Debugging
- Retrieving Job Information with Counters
- Logging
- Splittable File Formats
- Determining the Optimal Number of Reducers
- Map-Only MapReduce Jobs
- Hands-On-Exercise
More Advanced MapReduce Programming
- Custom Writables and WritableComparables
- Saving Binary Data using SequenceFiles and Avro Files
- Creating InputFormats and OutputFormats
- Hands-On Exercise
Joining Data Sets in MapReduce
- Map-Side Joins
- The Secondary Sort
- Reduce-Side Joins
Graph Manipulation in Hadoop
- Introduction to graph techniques
- Representing graphs in Hadoop
- Implementing a sample algorithm: Single Source Shortest Path
Creating Workflows with Oozie
- The Motivation for Oozie
- Oozie’s Workflow Definition Format
- HANDS ON EXERCISE
FAQs Hadoop Training And Job Placement from Sans America
Where is the course conducted?
The Hadoop Training And Job Placement is conducted from Edison to attend in classroom and in online, accessible via a dedicated platform from anywhere.
What are the available learning modes for Hadoop Training And Job Placement?
Sans America offers online, in-person, and hybrid learning options
What facilities are provided for students enrolled in this course?
Sans America offers access to online resources, expert lectures, practical labs, student support community, 100% Job assistance and Guaranteed classes.
Who will be conducting the training for this course?
The training for Hadoop Training And Job Placement will be conducted by experienced industry professionals, subject matter experts and certified instructors.
What topics are covered in the course curriculum?
The course covers topics according to the skills and understanding you have on the subject.
| Date & time | Module | Training title | Mode | Training provider / fee | Register |
| Hadoop | Hadoop Training And Job Placement Provided By Sans America | Hadoop institutes |
Online | |||
| Hadoop | Hadoop Training And Job Placement Provided By Sans America | Hadoop institutes |
Online | |||
| Hadoop | Hadoop Training And Job Placement Provided By Sans America | Hadoop institutes |
Online |
Hadoop Topics
