Hadoop Administration

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Course type: Online Instructor led Course

Platform: gotomeeting

Course ID: 38317

Course type: Online Instructor led Course

Platform: gotomeeting

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Rakesh picture
Rakesh

Hadoop Administrator

About Rakesh

Hadoop Administrator- 2015 to till date.
Online tutor- 4 Yrs.
Hadoop Consultant - Sunmars technologies, Hyderabad 8 months.
Network Engineer- Aster pvt ltd. 9 months.
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About the Course

HADOOP ADMINISTRATION





Module 1 – Introduction to BigData & Hadoop




  • What is BigData




  • The amount of data processing in today’s life




  • What Hadoop is why it is important?




  • Hadoop comparison with traditional systems




  • Hadoop history




  • Hadoop main components and architecture




Module 2 – Hadoop Distributed File System (HDFS)




  • HDFS overview and design




  • HDFS architecture




  • HDFS file storage




  • HDFS Daemons and their importance




  • HDFS Daemons failure cases




  • Block Size




Module 3 – Planning your Hadoop cluster




  • Planning a Hadoop cluster and its capacity




  • Hadoop software and hardware configuration




  • HDFS Block replication and rack awareness




Module 4 – Hadoop Deployment




  • Different Hadoop deployment types




  • Hadoop distribution options




  • Hadoop competitors




  • Prerequisites of Hadoop Installation




  • SSH, Java




  • Hadoop installation (Single Node & Multi Node)




  • Configuration of Hadoop cluster




  • Parameters used in configuration




  • Distributed cluster architecture




Module 5 – Working with HDFS




  • HDFS Write Anatomy




  • HDFS Read Anatomy




  • Ways of accessing data in HDFS






  1. CLI(Command Line Interface)




  2. WEB UI






  • Common HDFS operations and commands




  • DFSADMIN commands




Module 6 – Mapreduce




  • What is MapReduce and why it is popular




  • The Big Picture of the MapReduce




  • MapReduce process and terminology




  • MapReduce Deamons & their importance




  • MapReduce components failures and recoveries




  • Working with MapReduce




  • Monitoring Running Jobs




  • YARN Introduction




Module 7-Installation & Management of Hadoop Eco systems




  • pig




  • Hive




  • Hive metastore




  • HBase




  • Sqoop




  • Flume




  • Oozie




Module 8 - Getting Data from External sources to Hadoop Cluster




  • Sqoop




  • Importing data from RDBMS(Mysql & Oracle) to Hadoop Cluster




  • Exporting data to RDBMS from Hadoop Cluster




  • Flume




  • Importing logs from other resources




  • Twitter Analysis




Module 9 – Hadoop Cluster Configuration & Performance tuning




  • Hadoop configuration overview and important configuration files




  • Configuration parameters and values




  • HDFS parameters




  • MapReduce parameters







Module 10 – Hadoop Administration and Maintenance




  • Namenode/Datanode directory structures and files




  • File system image and Edit log




  • The Checkpoint Procedure




  • Namenode failure and recovery procedure




  • Safe Mode




  • Metadata and Data backup




  • Potential problems and solutions / what to look for




  • Commissioning & Decommissioning of nodes




  • Balancing




Module 11– Hadoop Monitoring and Troubleshooting




  • Best practices of monitoring a Hadoop cluster




  • Using logs and stack traces for monitoring and troubleshooting




  • Using open-source tools to monitor Hadoop cluster




  • Monitoring Hadoop Cluster using Cloudera Manager




Module 12 – Job Scheduling




  • How to schedule Hadoop Jobs on the same cluster




  • Default Hadoop FIFO Schedule




  • Fair Scheduler and its configuration




  • Example of Job Scheduling using Oozie




Module 13 – High Availability Federation, Yarn and Security


-----Cloudera Security-Kerberos-TLS/SSL Encryption-CDH Encryption-Sentry.

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