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SF Data Weekly - LinkedIn Decision Making, Pinterest's Kafka, Netflix's Data Landscape, 4 Analytic Pillars

May 28 · Issue #117 · View online
SF Data Weekly
Our Pick
Driving Business Decisions Using Data Science and Machine Learning | LinkedIn Engineering
The 6 steps in LinkedIn for a model to be deployed in production.
Data Pipelines
A Redshift Architecture that’s Faster & Cheaper than Snowflake
Best Practice Set-up for your Amazon Redshift Cluster
Optimizing Kafka for the Cloud – Pinterest Engineering
Part of Pinterest data stack, including Kafka.
Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency
Netflix's data landscape.
Kafka: All You Need to Know
Publish - subscribe functionality of Kafka.
Data Storage
How To Process, Organize and Load Your Apache Parquet Data To Amazon Athena, AWS Redshift Spectrum, Azure Data Lake Analytics or Google Cloud
SQL Server with a Docker container on Windows Server 2016
Data Analysis
Giving your Algorithm a Spark – BCG GAMMA
The basics of cluster computing.
4 Pillars of Analytics – Hacking Analytics
Architecture for data acquisition.
Data Visualization
It’s 2019 — Make Your Data Visualizations Interactive with Plotly
A sample interactive graph created with Plotly.
Data-driven Products
Inside Facebook's New Robotics Lab, Where AI and Machines Friend One Another | WIRED
Data Engineering Jobs
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