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Draining the data lake requires treating data as a software problem and rethinking what makes a good data signal.
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Learn some common strategies on calculating MAU and the tradeoffs between them!- Published on
An understanding of common technical writing mediums and their various properties, including length, media support and word limit, is essential for writing effectively. Without a basic understanding of the medium types, it's easy to create inneffective writings. This post covers the common technical writing media types and important properties of each type.- Published on
Understanding your audience is esssential for effective technical writing. Effective technical writing uses this understanding as an anchor during the writing processes, informing the requried context, approach and word choice. This post covers some common target audiences for tech companies.- Published on
A clear purpose is the first step in effective technical writing. This post covers the most common purposes including informing and persuading.- Published on
My 2022 Self published tech book earnings for - Site Reliability Engineering Tidbits.- Published on
Effectively executing staff plus level initiatives requires a combination of technical skills, product management vision, project management, execution, and business analytics. Learn how these skills combine to execute on initiatives successfully.- Published on
Learn how to prevent logical race conditions in read-modify-write SQL workloads using SELECT FOR UPDATE.- Published on
Learn how revenue is the foundational anchor metric to focus on measuring.- Published on
Learn how to access and use FIFO queues in python.- Published on
Some strategies I've discovered to help influence large-scale change when you have little to no authority.- Published on
Learn how platform teams can create leverage and increase velocity.- Published on
Learn how to use interfaces, in python, to create extensible, maintainable, and verifiable professional software.- Published on
A book to learn SRE concepts, for beginners.- Published on
Learn how to use napkin math to estimate system load.- Published on
Learn how to create extensible professional software in python, using explicit domain definitions.- Published on
Learn how to debug sql queries using the Redshift Explain statement.- Published on
Learn how to use scrum to achieve predictable execution.- Published on
How to minimize alert fatigue and flaky alerts.- Published on
How to implement a FIFO queue in python.- Published on
How to use concrete data definitions to make data integrations simpler.- Published on
Structure your methods into "flow" and "implementation" to increase readability and structure of your software!- Published on
Schema-on-ready, buy now pay later data contracts.- Published on
Data operational maturity model to help increase reliability of data systems.- Published on
How to infer lineage by inspecting SQL statements.- Published on
Watch out for dbt subqueries against snowflake external tables!- Published on
How to use database views for 0 downtime migrations.- Published on
Debug and fix file descriptor limit in AWS lambda by bounding descriptor usage.- Published on
Learn how to increase predictability through an engineering accounting system such as Scrum.- Published on
How to use freshness checks to determine ETL data pipeline health.- Published on
Learn how to detect resource and memory leaks in go by monitoring base memory and resource usage!- Published on
Learn some common configurations of Snowflake Copy INO for CSV imports.- Published on
Low cost storage combined with new compute driven systems makes it easier than ever to get started with data engineering.- Published on
Athena and Specturm external partition usage and guide.- Published on
2020 Summer of Sprouts yield results!- Published on
Using probes to make debugging faster!- Published on
Learn how to leverage "goals" to understand systems.- Published on
Increase velocity through self-service tools!