Apache Hadoop, MapReduce and the Hadoop Ecosystem
Introduction to Hadoop, MapReduce and the Hadoop Ecosystem with practical exercises.
Duration
3 days
goal
- Learn and become familiar with the architecture of Apache Hadoop
- Core components of Hadoop and the Hadoop Ecosystem
- How HDFS and MapReduce function
- Basic skills for developing MapReduce and simple big data applications
- Learn how to use resources for defining data workflows
- Get to know the limits of Hadoop and MapReduce
target group
System architects, developers, anyone interested in big data.
Contents (new)
- Reason and Purpose of Using Hadoop
- Attributes of the Hadoop Architecture
- Core Concepts of Hadoop
- Functionality of MapReduce
- Main Components of the Hadoop Ecosystem: HDFS, MapReduce, Pig, Hive, HBase, Zookeeper, Flume, Cascading, etc.
- Development of MapReduce Applications
- Data Import and Export
- Automation of Data Workflows
- Data Serialization / De-serialization with Avro
- Hadoop APIs
- Best Practices and Patterns
Method
Presentation with practical exercises.
Prerequisites
Basic knowledge of IT.
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Early booking pays off
Book your training at least 3 or 6 months before the start of the course and take advantage of the flexible pricing.
| > 6 months | > 3 months | 0–3 months |
|---|---|---|
| 1 590,00 EUR 2'480.00 CHF | 1 790,00 EUR 2'790.00 CHF | 1 980,00 EUR 3'090.00 CHF |
| Place | Date | Language | price | |
|---|---|---|---|---|
| Virtual Classroom |
13.07. - 15.07.2020 | DE | 1 980,00 € | |
| Düsseldorf / DE |
10.08. - 12.08.2020 | DE | 1 980,00 € | |
| Virtual Classroom |
10.08. - 12.08.2020 | DE | 1 980,00 € | |
| Stuttgart / DE |
05.10. - 07.10.2020 | DE | 1 790,00 € | |
| Bern / CH |
16.11. - 18.11.2020 | DE | 2'790.00 CHF | |
| In-house training courses on request! | inquiry | |||
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