Michael Kaminsky
Slowly Changing Dimensions in Data Science
Avoiding a common pitfall in data science by enabling history mode.
Star Schema vs. OBT for Data Warehouse Performance
Michael Kaminsky of Gradient Metrics takes us through a benchmark comparison of data architectures.
The Modern Data Science Stack
Automated data integration can help you jump-start your machine learning efforts.
Databases Demystified Chapter 10 – Query Planning and Optimization
Take a look under the hood to learn how you can help databases execute queries more efficiently.
Databases Demystified Chapter 9 – Indexes
Indexes aren’t just for catalogs or textbooks. Learn how indexes make queries faster.
Databases Demystified Chapter 8 – Distributed Databases Part 3
What is “consensus,” and what does it have to do with distributed databases?
Databases Demystified Chapter 7 – Distributed Databases Part 2
Distributed databases are powerful, but they come with lots of complications.
Databases Demystified Chapter 6 – Distributed Databases Part 1
What is the difference between distributed and single-node databases?
Databases Demystified Chapter 5 – Transactions Part 2
Learn about the relationship between isolation and concurrency.
Databases Demystified Chapter 3 – Row Store vs. Column Store
Take a closer look at the differences in architecture between row- and column-based databases
Databases Demystified Chapter 2 – Analytical vs. Transactional Databases
Learn about the differences between databases designed to perform day-to-day operations and those designed for analyzing data.
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