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Floe is under active development and will enter Beta soon. We’d love for you to help us shape the world's best Lakehouse SQL compute engine.
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Company,
Data Types

Surviving Legacy Code: Renegotiating Old Contracts

Refactoring old code often requires careful attention to the contracts previously put in place
by·
Company,
Data Types
Surviving Legacy Code: Renegotiating Old Contracts
Refactoring old code often requires careful attention to the contracts previously put in place
by·
Performance,
Databricks,
Query Planning,
Spark
Why Spark joins are expensive - and what to do about it
Spark joins are often considered expensive - leading users to prefer highly denormalised data models on Spark. Let us fact check this!
by·
Engineering,
CEO,
Data Types,
Query Planning,
Lakehouse
Lakehouse statistics and why query engines get lost
Statistical metadata is to SQL Engines as maps are to delivery drivers. Without maps, drivers get lost; without statistics, SQL Engines also get lost.
by·
Query Planning
Predicate pushdown, a planner perspective
A deep dive into pushdown logic in query planners
by·
Data,
Data Types,
Query Planning
Why bother with Data Modelling - Part 4: Composite Keys
Composite keys are sometimes necessary - but they have downsides. Digging into the tradeoffs for using composite keys.
by·
Data,
Engineering
Why bother with Data Modelling - Part 3: Keys
How to model keys in databases
by·
Engineering,
Data Types
How Variant will Replace JSONB in Lakehouses
A deep dive into the variant data type in lakehouses
by·
Data
Why bother with data modelling - Part 2: Rules or Structure?
Rules or structure - which data modeling technique is best?
by·
Data
Why bother with Data Modelling? - Part 1
Data Modelling tutorial series
by·
Engineering,
Performance,
I/O
After 30+ years, "Is Linux disk I/O finally fast enough?"
Testing uring against custom NVME userspace drivers.
by·
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