Hadoop Admin Online Training
One of the top Hadoop Admin Online Training institutes in Bangalore with highly skilled trainers
- 4.7
- 105 Google reviews
Class Availability Weekdays & Weekends | Course Duration 40-45 Hours | Training Methodology 25% Theory & 75% Practical |
Class Availability
Weekdays & Weekends
Course Duration
40-45 Hours
Training Methodology
25% Theory & 75% Practical
4970
Profesionals Trained
350
Workshops Every Month
50
Countries And Counting
100
Corporate Served Successfully
Syllabus
Hadoop Admin Training
INTRODUCTION
• Big Data
• 3Vs
• Role of Hadoop in Big data
• Hadoop and its ecosystem
• Overview of other Big Data Systems
• Requirements in Hadoop
• Use Cases of Hadoop
Installing the Hadoop Distributed File System (HDFS)
Installing the Hadoop Distributed File System (HDFS)
• Defining key design assumptions and architecture
• Configuring and setting up the file system
• Issuing commands from the console
• Reading and writing files
Setting the stage for MapReduce
Setting the stage for MapReduce
• Introducing the computing daemons
• Dissecting a MapReduce job
Defining Hadoop Cluster Requirements
Defining Hadoop Cluster Requirements
• Selecting appropriate hardware
• Designing a scalable cluster
Building the cluster
Building the cluster
• Installing Hadoop daemons
• Optimizing the network architecture
Basicadnd Advanced file and directory permissions
Basicadnd Advanced file and directory permissions
• Configuring a Cluster – Pseudo node and multi – node
• Setting basic configuration parameters
• Configuring block allocation, redundancy and replication
Deploying MapReduce
Deploying MapReduce
• Installing and setting up the MapReduce environment
• Delivering redundant load balancing via Rack Awareness
Configuring a Cluster
Configuring a Cluster
• Setting basic configuration parameters
• Configuring block allocation, redundancy and replication
Maintaining HDFS
Maintaining HDFS
• Starting and stopping Hadoop daemons
• Monitoring HDFS status
• Adding and removing data nodes
Administering MapReduce
Administering MapReduce
• Managing MapReduce jobs
• Tracking progress with monitoring tools
• Commissioning and decommissioning compute nodes
Performing Hadoop status checks
Performing Hadoop status checks
Planning for Backup, Recovery and Security
Planning for Backup, Recovery and Security
etc.
Building the cluster
• Installing Hadoop daemons
• Optimizing the network architecture
Basicadnd Advanced file and directory permissions
• Configuring a Cluster – Pseudo node and multi – node
• Setting basic configuration parameters
• Configuring block allocation, redundancy and replication
Deploying MapReduce
• Installing and setting up the MapReduce environment
• Delivering redundant load balancing via Rack Awareness
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Configuring a Cluster
• Setting basic configuration parameters
• Configuring block allocation, redundancy and replication
Deploying MapReduce
• Installing and setting up the MapReduce environment
Maintaining HDFS
• Starting and stopping Hadoop daemons
• Monitoring HDFS status
• Adding and removing data nodes
Administering MapReduce
• Managing MapReduce jobs
• Tracking progress with monitoring tools
• Commissioning and decommissioning compute nodes
Performing Hadoop status checks
• Importing and exporting relational information with Sqoop
Planning for Backup, Recovery and Security
• Coping with inevitable hardware failures
• Securing your Hadoop cluster
Extending Hadoop
Extending Hadoop
• Enabling SQL-like querying with Hive
• Installing Pig to create MapReduce jobs
• Working with Zookeeper and Ooziew workflow
Konanki Manimala
-
- 4.7
Iq stream providing best soft skill class.it was very useful for fresher and who are not able to communicate in front of others.i was thankfull to Sidharth for training me and given confidence that I can speak in English.
Ganesh Nandkhile
-
- 4.7
Geetha KLR
-
- 4.7
I had taken Oracle SOA training from Mr. Bhaskar. He is highly experienced and helped us with real time scenarios. The training was very effective. Thanks Mr. Bhaskar for all your support during the training.