Hadoop developer training
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share

Hadoop developer training

  • 1,070 views
Uploaded on

Tables ...

Tables
Maps
Views
Extended Data Types
Base Enums
Security Keys, Configuration Keys, and License Codes
• Microsoft Dynamics AX Table Structure and Components
• Procedure: Creating a Table in Microsoft Dynamics AX.

or full course details please visit our website www.microsoftdynamicsonlinetraining.com

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
For any further details please

contact India +91-9052666559
Usa : +1-678-693-3475.

visit www.microsoftdynamicsonlinetraining.com

please mail us all queries to info@magnifictraining.com

More in: Education , Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
1,070
On Slideshare
1,070
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
27
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. hadoop developer training Contact : Magnific training +91-9052666559 info@magnifictraining.com
  • 2. • Hadoop Developer Training: Introduction to Apache Hadoop Development: • Introduction to Apache Hadoop Development training class teaches attendees how to build distributed, data-intensive applications using the Hadoop framework. Students learn the principles of parallel programming and how use Big Data tools such as Pig, Hive, and HBase.
  • 3. • Apache Hadoop Training Objectives • All attendees will: • Understand the principles of parallel computing • Understand Hadoop architecture (HDFS and MapReduce) • Define Big Data project architecture • Use additional Big Data tools (Pig, Hive, Flume, etc.) • Use HBase in the project.
  • 4. hadoop developer training • Apache Hadoop Training Outline • Introduction – Hadoop history and concepts – Ecosystem – Distributions – High level architecture – Hadoop myths.
  • 5. hadoop developer training • HDFS – Concepts (horizontal scaling, replication, data locality, rack awareness) – Architecture – Namenode (function, storage, file system meta- data, and block reports) – Secondary namenode – HA Standby namenode – Data node.
  • 6. hadoop developer training • Communications / heart-beats • Block manager / balancer • Health check / safemode • read / write path • Navigating HDFS UI • Command-line interaction with HDFS • File systems abstractions • WebHDFS.
  • 7. hadoop developer training • MapReduce – Parallel computing before MapReduce – MapReduce concepts – Daemons: jobtracker / tasktracker – Phases: driver, mapper, shuffle/sort, and reducer – First MapReduce job – MapReduce UI walk through – Counters
  • 8. hadoop developer training • Pig – Intro: principles and uses cases – Tools and environment – Example applications – Pig versus MapReduce
  • 9. hadoop developer training • Hive – Intro: principles and uses cases – Environment and configuration – Example applications – HIve versus MapReduce – Hive versus Pig
  • 10. hadoop developer training • HBase – History and concepts – Architecture – HBase versus RDBMS – HBase shell – HBase Java API – Splits and compaction – Read path / write path.