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SF Data Weekly - Uber's Queryparser, Flink at Netflix, Kafka Streams, ETL, Redshift and Pytorch

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March 5 · Issue #57 · View online
SF Data Weekly
Our Pick
Is Batch ETL Dead, and is Apache Kafka the Future of Data Processing?
Kafka operating as a central nervous system for an organization.
Data Pipelines
Iterative Data Modeling to Avoid Dreaded ETL
Migrating Batch ETL to Stream Processing: A Netflix Case Study with Kafka and Flink
Data Storage
Best Practices for Running Apache Kafka on AWS
Typical deployment pattern with a single AWS Region
Queryparser, an Open Source Tool for Parsing and Analyzing SQL
Uber's streaming data warehouse feeds all queries through Queryparser.
Data Analysis
Big, Fast, Easy Data With KSQL
Using Python to Write a Create Table Statement and Load a CSV into Redshift
An Introduction to PyTorch - A Simple yet Powerful Deep Learning Library
Data Visualization
Visualizing Your First Dataset With Tableau | Dremio
A view of the Tableau User Interface.
Data-driven Products
Designing Great Data Products | O'Reilly Media
A diagram explaining the Drivetrain Approach.
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