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analytics-readings
Readings for Analytics Engineers
https://github.com/flpezet/analytics-readings
- The Analytics Engineer
- Mode Analytics SQL Guide
- Learning SQL 201: Optimizing Queries, Regardless of Platform
- Python focused readings
- Python for Data Analysis
- Pandas Cheatsheet
- Modern pandas
- The Startup Founder's Guide to Analytics - up.
- The missing layer of Analytics Stack
- Choosing a Data Warehouse
- Data science for start-ups
- Designing Data-Intensive Applications
- The Modern Data Stack: Past, Present, and Future - read on the last innovations in the data stack.
- Looker vs Tableau vs Mode. Data Visualisation tools compared
- Segment vs Fivetran vs Stitch: Which Data Ingest Should You Use?
- One analyst's guide for going from good to great
- Suceeding as the first data person in a small company/startup
- Prioritizing data science work
- The beginner guide to data engineering series
- Best practices for data modeling
- The Data Warehouse Toolkit
- Functional Data Engineering — a modern paradigm for batch data processing - designed data warehouse.
- The rise of the Data Engineer
- Five principles that will keep your data warehouse organized
- Using Postgres as a data warehouse
- For Data Warehouse Performance, One Big Table or Star Schema?
- Functional Data Engineering — a modern paradigm for batch data processing - designed data warehouse.
- Maintenable ETL: Tips for Making Your Pipelines Easier to Support and Extend
- The Data Warehouse ETL Toolkit
- Building a data practice from scratch
- The Startup Founder's Guide to Analytics - up.
- Automated Testing In The Modern Data Warehouse - sexy thing in data.
- Scaling analytics at Wish
- Building Analytics at 500px
- Engineer shouldn't write ETL
- Does my startup data team need a data engineer?
- Data Driven Marketing
- Common Data Mistakes to Avoid - explained.
- Thinking fast and slow
- Fooled by randomness
- Why you should care about the Nate Silver vs. Nassim Taleb Twitter war
- Five books every data scientist should read that are not about data science
- Fundamentals of Data Visualisation
- Singer
- a repo open-sourced by Gitlab
- Reddit comments on Snowflake super-expensive cost
- excellent list
- Analytics Dispatch
- Reading in Applied Data Science
- Professional Programming list
- Randy Au
- Locally Optimistic
- Tristan Handy
- Dbt blog - read.
- Ken Farmer
- Holistics.io
- Locally Optimistic
- Reddit data engineering