This Hortonworks - Administration training course provides skills required to install and manage a Hortonworks Hadoop cluster. You will also learn to perform routine tasks in the role of a hadoop administrator.
Hortonworks - Administration
( Duration: 3 Days )COURSE AGENDA
1
HDFS
- Understand HDFS architecture
- Understand how the NameNode maintains the file-system metadata
- Understand how data is stored in HDFS
- Understand the relationship between NameNodes and DataNodes
- Understand the relationship between NameNodes and namespaces in Hadoop 2.0
- Understand the WebHDFS commands
- Understand the various “hadoop fs” commands
2
Install and Configure HDP
- Understand the minimum hardware and software requirements
- Understand how to set up a local repository for HDP installation
- Understand how to install HDP using Apache Ambari
- Understand differences between master and slave services
- Understand complete deployment layout
- Understand how to configure and manage different services
- Understand different configuration parameters
3
Ensure Data Integrity
- Understand block-scanning reportDefine Pig relations
- Run file-system check
- Understand replication factor, under & over replication
- Set up NFS Gateway to access HDFS data
4
YARN Architecture and MapReduce
- Understand the architecture of YARN
- Understand the components of the YARN ResourceManager
- Demonstrate the relationship between NodeManagers and ApplicationMasters
- Demonstrate the relationship between ResourceManagers and ApplicationMasters
- Explain the relationship between Containers and ApplicationMasters
- Explain how Container failure is handled for a YARN MapReduce job
- Understand the architecture of MapReduce
- Understand the various phases of a MapReduce job
5
Job Schedulers and Enterprise Data Movement
- Understand the concept of job scheduling
- Configure the capacity scheduler
- Understand the difference between capacity and fair scheduler
- Understand various data ingestion mechanisms for Hadoop
- Explain the different between traditional and Hadoop-based ETL platforms
- Use the distcp command to move data between two clusters
- Understand Hive architecture
- Move data between a traditional database and Hadoop using Apache Sqoop
- Explain Hive/MR vs. Hive/Tez
- Stream data using Apache Flume
- Configure workflows and deployment using Apache Oozie
6
Monitor and Administer Clusters
- Monitor using the Ambari UI, Ganglia, and Nagios
- Commission and decomission nodes
- Back up and recover Hadoop data
- Use Hadoop snapshots
- Understand rack awareness and topology
- Understand NameNode high availability
- Use the “hdfs haadmin” commands
7
Secure HDP
- Understand security concepts
- Configure Kerberos
- Configure HDP authorization and authentication
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Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.
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