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SF Data Weekly - LinkedIn Open-sources Brooklin, 11 BI Tools, Plaid's Stack, Message Brokers, When SQL Is Not Enough

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July 23 · Issue #123 · View online
SF Data Weekly
Our Pick
11 BI Tools Pricing and Capabilities - Analysis of Legacy & Modern Business Intelligence Tools
The hard work happens in the layers underneath the "eye-candy" dashboards.
The hard work happens in the layers underneath the "eye-candy" dashboards.
Data Pipelines
Open Sourcing Brooklin: Near Real-Time Data Streaming at Scale | LinkedIn Engineering
A hypothetical example: Brooklin used to move data between different cloud services.
A hypothetical example: Brooklin used to move data between different cloud services.
Getting Ramped-Up on Airflow with MySQL → S3 → Redshift
Plaid's ETL pipeline.
Plaid's ETL pipeline.
Apache Kafka vs RabbitMQ. Introduction to Message Brokers
Data Storage
When SQL Isn’t the Right Answer - Better Programming
An example where SQL would need to query multiple tables for a simple object.
An example where SQL would need to query multiple tables for a simple object.
Five Principles that will Keep Your Data Warehouse Organized
Data Analysis
Dask: Scalable Analytics in Python
Parallelizing your Python code with Dask.
Parallelizing your Python code with Dask.
TensorFlow Vs PyTorch: Top 10 Differences Between The Two ML Libraries
Interest over time in US.
Interest over time in US.
Data Visualization
A chronicle of the anti-vaccination movement
A screenshot of part of the story.
A screenshot of part of the story.
Data-driven Products
Tableau vs. Mode: Comparing Pricing, Integrations and Deployment
Mode requires a bit of technical knowledge to query data  with SQL.
Mode requires a bit of technical knowledge to query data with SQL.
Amazon to Uber: From the Lens of a Software Engineer
Data Engineering Jobs
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