Configuring, Deploying, and Maintaining a Hadoop Cluster
The data revolution is upon us and Hadoop is THE leading Big Data platform. Fortune 500 companies are using it for storing and analyzing extremely large datasets, while other companies are realizing its potential and preparing their budgets for future Big Data positions. It's the elephant in Big Data's room!
Cloudera administrator course provides the technical background you need to manage and scale a Hadoop cluster in a development or production environment.
This series will get you up to speed on Big Data and Hadoop. Topics include how to install, configure and manage a single and multi-node Hadoop cluster, configure and manage HDFS, write MapReduce jobs and work with many of the projects around Hadoop such as Pig, Hive, HBase, Sqoop, and Zookeeper. Topics also include configuring Hadoop in the cloud and troubleshooting a multi-node Hadoop cluster.
After the completion of the Big Data and Hadoop Course, you should be able to:
- The internals of YARN, MapReduce, and HDFS
- Determining the correct hardware and infrastructure for your cluster
- Proper cluster configuration and deployment to integrate with the data center
- How to load data into the cluster from dynamically-generated files using Flume and from RDBMS using Sqoop
- Configuring the FairScheduler to provide service-level agreements for multiple users of a cluster
- Best practices for preparing and maintaining Apache Hadoop in production
- Troubleshooting, diagnosing, tuning, and solving Hadoop issues
Hiring IT professionals who are certified as Hadoop BigData allows many organizations to increase their ratio of servers to administrators, enabling them to be more cost effective in building out their infrastructures without needing to bring on additional resources.