Last year I gave an agent read access to a warehouse, a schema catalogue, and a brief to explain movements in a set of business-critical numbers. It produced an invoice I had not anticipated. Accuracy was never the difficulty; the model was largely correct. What consumed the budget was interrogation. Before it could attempt anything […]
The Economics of Agentic AI Analytics Read More »
Most database shops have a caching layer. Redis, Memcached, something custom. Reads hit the cache, misses hit the database, and someone owns the invalidation logic, the TTLs, and the 2 AM incident when the cache goes stale. Oracle 26ai introduces True Cache, and it works nothing like Redis. It’s a diskless, read-only database replica that
True Cache on Oracle 26ai Read More »
In the AI data infrastructure race, Oracle wants you to run AI inside your database. Not call an API. Not ship your data to an external LLM company. Not stand up a separate vector database. Run the whole thing on-prem, behind your firewall, managed by your data team. That’s what the Private AI Services Container
Running Oracle’s Private AI Stack On-Premises Read More »
Everyone is talking about AI. AI this, vector that, vector indexes eating your storage, running out of memory. I deployed 26ai on my lab cluster and went through the internals so you don’t have to guess what’s actually going on under the hood. Brace yourself for this DDL and DML ride. Here’s the short version
Oracle 26ai Vector Search Internals Read More »
Oracle 26ai came out. I deployed it, went to run my RMAN workflows, and immediately noticed things had changed. After an hour of reading through the 26ai Backup and Recovery documentation and testing against a live instance I found enough worth writing down. This post is part change log, part lab journal for what’s different
What Changed in RMAN for Oracle 26ai Read More »
Oracle 26ai can join external tables backed by S3 Parquet files with regular internal tables in a single SQL statement, without data movement, ETL pipelines, or Spark. The optimizer treats S3-backed external tables as another data source and picks the right join strategy automatically. This post shows how to build a customer dimension table from
Hybrid Analytics with Oracle 26ai and S3 Data Read More »
I spent months building a tool that answers a question nobody else was asking: how many databases can your infrastructure actually handle before something breaks? HammerDB-Scale orchestrates parallel database benchmarks on Kubernetes, correlates application metrics with storage behaviour, and finds consolidation limits. I also overengineered it for the wrong user experience. But I thought it
HammerDB-Scale 2.0 and Why I Rebuilt the Whole Thing Read More »
TL;DR: DBMS_CLOUD.CREATE_EXTERNAL_TABLE creates an external table that reads Parquet directly from S3. Define the table once, query it with standard SQL. No data loading, no ETL. With S3 connectivity working (Part 1 and Part 2), this post shows how to create DBMS_CLOUD external tables over Parquet files in S3 and query them from Oracle 26ai.
Querying Parquet Files on S3 with DBMS_CLOUD in Oracle 26ai Read More »
