[Kurz] Program kurzu (obsah přednášky/semináře/rekvalifikace/studia) ...
Goals Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:
- 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 ofa cluster
- Best practices for preparing and maintaining Apache Hadoop in production
- Troubleshooting, diagnosing, tuning, and solving Hadoop issues
* Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:
- 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 ofa cluster
- Best practices for preparing and maintaining Apache Hadoop in production
- Troubleshooting, diagnosing, tuning, and solving Hadoop issues
Outline Read the entire course outline for more details. Prerequisites
- Prior knowledge of Apache Hadoop is not required.