Hadoop training and placement

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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.magnifictraining.com please mail us all queries to info@magnifictraining.com

Formation Technologie Business

Hadoop training and placement
Course Objective Summary
*During this course, you will learn
*Introduction to Big Data and
Hadoop.
*Hadoop ecosystem – Concepts.
* Hadoop Map-features reduce
concepts.

*Hadoop training and placement
Australia
• CONTACT US:
• Call :
• india +91-9052666559
• USA:+1-6786933994, 6786933475
• Mail :info@magnifictraining.com
• Visit : www.magnifictraining.com

Hadoop training and placement
Australia
• ADpevpelilcoaptiinogn st he map-reduce
• Pig concepts
• Hive concepts
• Oozie workflow concepts
• HBASE Concepts
• Real Life Use Cases

Hadoop training and placement
Australia
• Introduction to Big Data and
• Hadoop
• What is Big Data?
• bWigh adta atare?
• the challenges for processing
• What technologies support big data?
• What is Hadoop?
• Why Hadoop?

Hadoop training and placement
Australia
• Use Cases of Hadoop
• Histiry of Hadoop
• Hadoop eco systems
• Hdfs
• Map reduce
• Statistics

Hadoop training and placement
Australia
• Understanding the Cluster
• Typical workflow
• Writing files to HDFS
• Reading files from HDFS
• Rack Awareness

Hadoop training and placement
Australia
• Let's talk Map Reduce
• Before Map reduce
• Map Reduce Overview
• Word Count Problem
• Word Count Flow and Solution
• Map Reduce Flow
• pArlgoobrleitmhms s

Hadoop training and placement
Australia
• Developing the Map Reduce
• Application
• Data Types
• File Formats

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Hadoop training and placement

1. Hadoop training and placement Course Objective Summary *During this course, you will learn *Introduction to Big Data and Hadoop. *Hadoop ecosystem – Concepts. * Hadoop Map-features reduce concepts.

2. *Hadoop training and placement Australia • CONTACT US: • Call : • india +91-9052666559 • USA:+1-6786933994, 6786933475 • Mail :info@magnifictraining.com • Visit : www.magnifictraining.com

3. Hadoop training and placement Australia • ADpevpelilcoaptiinogn st he map-reduce • Pig concepts • Hive concepts • Oozie workflow concepts • HBASE Concepts • Real Life Use Cases

4. Hadoop training and placement Australia • Introduction to Big Data and • Hadoop • What is Big Data? • bWigh adta atare? • the challenges for processing • What technologies support big data? • What is Hadoop? • Why Hadoop?

5. Hadoop training and placement Australia • Use Cases of Hadoop • Histiry of Hadoop • Hadoop eco systems • Hdfs • Map reduce • Statistics

6. Hadoop training and placement Australia • Understanding the Cluster • Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness

7. Hadoop training and placement Australia • Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • pArlgoobrleitmhms s

8. Hadoop training and placement Australia • Developing the Map Reduce • Application • Data Types • File Formats

Hadoop training and placement

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Hadoop training and placement