Hadoop training @free
DemoContact : +91-9052666559
Magnific training
 CONTACT US:
 Call :
 india +91-9052666559
 USA:+1-6786933475
 Mail :info@magnifictraining.com
 Visit : www.hadoopon...
 Apache hadoop online training course
content
◦ 1.HADOOP
◦ Introduction to Hadoop
◦ The Hadoop Approach
 2.HDFS
 Configuring HDFS
 Interacting With HDFS
 HDFS Permissions and Security
 Additional HDFS Tasks
◦ 4.MAPREDUCE
◦ 3Getting Started With Eclipse
◦ Running a Sample Program
 5.AdvancedMapReduce Features
 Custom Data Types
 Input Formats
 Output Formats
 Partitioning Data
◦ 6.Pig
◦ 7.Hive
◦ 8. HBase
 9.CONFIGURATION
 Basic Setup
 Important Directories
 Selecting Machines
 Cluster Configurations
 Small Clusters: 2-...
10.Performance Monitoring
Ganglia
Nagios
11.ZooKeeper
12. Oozie
13. Flume
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Hadoop training @9052666559

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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.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

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Transcript of "Hadoop training @9052666559"

  1. 1. Hadoop training @free DemoContact : +91-9052666559 Magnific training
  2. 2.  CONTACT US:  Call :  india +91-9052666559  USA:+1-6786933475  Mail :info@magnifictraining.com  Visit : www.hadooponlinetraining.net
  3. 3.  Apache hadoop online training course content ◦ 1.HADOOP ◦ Introduction to Hadoop ◦ The Hadoop Approach
  4. 4.  2.HDFS  Configuring HDFS  Interacting With HDFS  HDFS Permissions and Security  Additional HDFS Tasks
  5. 5. ◦ 4.MAPREDUCE ◦ 3Getting Started With Eclipse ◦ Running a Sample Program
  6. 6.  5.AdvancedMapReduce Features  Custom Data Types  Input Formats  Output Formats  Partitioning Data
  7. 7. ◦ 6.Pig ◦ 7.Hive ◦ 8. HBase
  8. 8.  9.CONFIGURATION  Basic Setup  Important Directories  Selecting Machines  Cluster Configurations  Small Clusters: 2-10 Nodes
  9. 9. 10.Performance Monitoring Ganglia Nagios 11.ZooKeeper 12. Oozie 13. Flume
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