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SF Data Weekly - Becoming a Data Engineer, Klaviyo's Data Stack, DataOps, Graph DBs, and Starbuck's Analysis

February 4 · Issue #101 · View online
SF Data Weekly
Our Pick
How To Become A Data Engineer: A Guide
Data Pipelines
Scaling Klaviyo’s Real-time Analytics System with Stream Processing
Klaviyo's legacy subsystem on account-level aggregations.
How to Build a Serverless CI/CD pipeline on AWS
What to Consider for Painless Apache Kafka Integration
Putting the AI cart Before the Data Horse — “DataOps” as Part of a New Enterprise Stack
The DataOps pipeline cycle, analogous to DevOps.
Data Storage
Graph Databases. What’s the Big Deal?
Use cases of graph databases in financial services.
Amazon Redshift: Data Warehouse in the Cloud
Event Storage in Postgres, Multi-tenant - DEV Community
Data Analysis
Analyzing and Predicting Starbucks’ Location Strategy
Each dot represents one Starbucks location as of 2017.
Data Visualization
5 Mistakes I Made When Doing Custom Data Visualization With D3.js
A conversion funnel showing the transformation of marketing contacts into leads.
Data-driven Products
Serverless and Startups, the Beginning of a Beautiful Friendship | Amazon Web Services
Vacation Tracker, a Slack-based app for managing a team's vacations.
Data Engineering Jobs
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