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Course Outline
Introduction
Principles of Distributed Computing
- Apache Spark
- Hadoop
Principles of Data Serialization
- How data object is passed over the network
- Serialization of objects
- Serialization approaches
- Thrift
- Protocol Buffers
- Apache Avro
- data structure
- size, speed, format characteristics
- persistent data storage
- integration with dynamic languages
- dynamic typing
- schemas
- untagged data
- change management
Data Serialization and Distributed Computing
- Avro as a subproject of Hadoop
- Java serialization
- Hadoop serialization
- Avro serialization
Using Avro with
- Hive (AvroSerDe)
- Pig (AvroStorage)
Porting Existing RPC Frameworks
Summary and Conclusion
Requirements
- A general familiarity with distributed computing.
14 Hours
Testimonials (3)
I thought he did a great job of tailoring the experience to the audience. This class is mostly designed to cover data analysis with HIVE, but me and my co-worker are doing HIVE administration with no real data analytics responsibilities.
ian reif - Franchise Tax Board
Course - Data Analysis with Hive/HiveQL
I genuinely enjoyed the many hands-on sessions.
Jacek Pieczątka
Course - Administrator Training for Apache Hadoop
practical things of doing, also theory was served good by Ajay