Hadoop training and placement

207 views
182 views

Published on

You can attend 1st 2 sessions for free. once you like the classes then you can go for registration.

or full course details please visit our website www.hadooponlinetraining.net

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: +1-6786933475

visit www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
207
On SlideShare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Hadoop training and placement

  1. 1. HADOOP online training from real time experts @ Magnific training Contact : +91-9052666559 HADOOP
  2. 2. • CONTACT US: • Call : • india +91-9052666559 • USA:+1-6786933475 • Mail :info@magnifictraining.com • Visit : www.hadooponlinetraining.net
  3. 3. • 1. Introduction • Distributed computing • Cloud Computing • Data Past, Present and Future • Computing Past, Present and Future • Hadoop • NoSQL
  4. 4. • 2. Understanding Hadoop Stack • MapReduce • NoSQL • CAP Theorem • Databases: Key Value, Document, • Graph • HBase and Cassandra • Hive and Pig • HDFS
  5. 5. • 3. Understanding Data • Data collection and generation • Data Storage • Data Retrieval • Random Access vs. Sequential Access • Disk is the new Tape – The Return of • sequential access to data
  6. 6. • 4. Hands on Hadoop • Hadoop Setup Single Node • Cluster Nodes • HDFS File System • HBase Setup • HBase Shell
  7. 7. • 5. Hands on to Data • Working on Twitter Data • Importing data into HBase • Querying using HBase CLI • Understanding data organization • Hbase Internals • Exercise: Solving various query using • scan and get
  8. 8. • 6. Introduction to HBase • Unlearning SQL • Learning NoSQL • Creating Table • Understanding Column Families • Unlearning Entity Relation • Learning Column Value & Key Pair • Unlearning Index & Query • Learning Scan and Scan Only
  9. 9. • 7. Introduction to Hive • 8. Introduction to Pig • 9. Looking Data as large sparse matrix • 10. Applying BI on large data • 11. Exercise: Working with Twitter data • 12. Exercise: Working with Facebook data • 13. Exercise: Working with LinkedIn data

×