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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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 |
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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 |
15.02. - 17.02.2021 | DE | 1 980,00 € | |
Virtual Classroom |
26.04. - 28.04.2021 | DE | 1 790,00 € | |
Virtual Classroom |
21.06. - 23.06.2021 | DE | 1 790,00 € | |
Hybrid Training / Zürich / CH |
23.08. - 25.08.2021 | DE | 2'480.00 CHF | |
Düsseldorf / DE |
25.10. - 27.10.2021 | DE | 1 590,00 € | |
Basel / CH |
24.11. - 26.11.2021 | DE | 2'480.00 CHF | |
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