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SF Data Weekly - Data Engineering Guidelines II, Redshift Performance at Remind, Airflow Pipelines, JupyterLab

February 26 · Issue #56 · View online
SF Data Weekly
Our Pick
A Beginner’s Guide to Data Engineering — Part II
Data Pipelines
Improving Redshift Performance | Remind
Query Latency and Query Volume for Remind's Amazon Redshift cluster
Get Started Developing Workflows with Apache Airflow
An example Airflow pipeline directed acyclic graph (DAG).
Develop and Extract Value from Open Data | AWS Government, Education, & Nonprofits Blog
Tile-rendering on a Linux EC2 instance.
Data Storage
Amazon Redshift’s Hardware Upgrade Improves Query Speed by up to 5x
Securing KSQL | Confluent
The Confluent Security Demo - Kafka streaming ETL on live Wikipedia edits.
How to Migrate from Oracle ASM to AWS using AWS DMS
Data Analysis
JupyterLab is Ready for Users
JupyterLab work environment including notebooks, text files, terminals.
Data Visualization
Working on Your Dashboard Layout?
An F-pattern layout to support scanning users.
Data Visualizations with Dremio, D3 and Node
An interactive visualization for the browser, created with Dremio.
Data-driven Products
What 770,000 Tubes of Saliva Reveal About America
A map visualizing some of the results gathered by AncestryDNA.
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