Introduction to Data Systems

This repository includes a set of presentations and hands-on tutorials for the Data Lake course of the Informatique pour la Science des Données Master program at Universié Paris Sud.

I decided to open the content of this module to:

• make it available to anyone desiring to learn about data engineering
• improve the quality of the module by making it public and open for contributions

Content

Presentations:

• Introduction to Data Systems covers:
  • What is Big Data
  • From DataWarehouse to Data Lake
  • Data processing architecture: Lambda architecture and kappa architecture
• Introduction to HDFS
  • Design goals and concepts of HDFS
  • Description of data operations in HDFS Introduction to Data Storage formats: avro, orc and parquet
• Data Streaming with Apache Kafka
  • Data integration problem
  • What is a write ahead log
  • Apache Kafka concepts
• Distributed Databases - NoSQL
  • Discusso=ion about the CAP Theorem
  • Classes on No-SQL Databases
  • An Introduction to MongoDB

Tutorials:

• Working with HDFS
• Working with file formats
• Working with Apache Spark + Window functions
• Working with Apache Kafka
• Streaming data processing with Kafka and Spark
• Working with MongoDB

License

MIT