Core topics by TODO:

• Foundations and best practices of information theory and data communication applied to a data project.
• Understanding the different Data Visualization approaches
• Coding for DataViz with D3.js programming paradigm
• Introduction to Vega Framework
• Prototyping effective data visualizations following the design process and best practices of data visualization theory

Guest lectures:

• Data Communication by TOP-IX
• Open Data and DataViz by Sheldon Studio
• Visualizing Data and case studies by Accurat

Core topics by Corley:

• Intro to Kinesis DataStream and real-time data services with AWS
• Data stream persistence with Kinesis Firehose
• Handle a Data Lake on AWS in Serverless mode
• Data Lake queries with AWS Athena
• Athena in depth: formats for Big Data (Parquet)
• Data Transformation with AWS Glue
• Serverless Data Transformation: Fargate and Step Functions
• Data Lake Virtualization with AWS QuickSite
• Hands-on lab with scripts and via AWS Web Console

Guest lectures:

• Big Data on AWS by Storm Reply
• Open Source and Data Virtualization by HPE CDS
• Big Data: let’s Spark! by Value Partners Digital Technology
• Scale your data architecture by Storm Reply