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What SQL/PGQ property graphs are, how a relational schema maps onto them, what they compile to, and tables can be both a vertex and an edge.
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Relational deep learning runs models directly over multi-table databases, with no human-written joins.
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A close read of the position paper that proposed treating relational databases as graphs.
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MatrixOne brings git-like version control to database tables: clone, branch, diff, and merge terabyte-scale datasets using MVCC and immutable storage, with benchmarks showing 100-500x speedup over SQL-based approaches.
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A practical teardown of Enzyme (Databricks’ IVM engine): what’s new, how it works end-to-end, when it wins, and where it breaks.
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Here is a sample of some basic Markdown syntax that can be used when writing Markdown content in Astro.
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Exploring Greenplum's journey toward HTAP and what it means for the future of hybrid transactional and analytical databases
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My framework for vetting opportunities before I decide to build something
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Understanding the different bases of power and how product managers can leverage them effectively
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How to scale planning practices from small teams to entire organizations
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Reflections on the most valuable MBA class and lessons learned about branding in business
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A guide to using bool_or and bool_and aggregate functions in Postgres for more powerful data analysis
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Moving from Postgres to Cassandra isn’t just changing databases — it’s changing how you think about data modeling.
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A practical guide for product managers on how to sunset products and features with empathy and proper planning
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What makes Cassandra different if you know relational databases
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Web apps get all the design love, but the command line deserves delight too.