Systems | Development | Analytics | API | Testing

The Unified Cloud Experience: True Hybrid Elasticity for Enterprise Data

Stuck waiting on hardware procurement cycles while critical workloads sit in "ACCEPTED" state? In this demo, see how Cloudera’s Unified Cloud Experience solves on-prem resource crunches using secure Cloud Bursting. Follow along with a real-world financial fraud detection pipeline as it seamlessly scales out to AWS compute—without migrating sensitive on-prem HDFS datasets, rewriting Spark code, or compromising Ranger security and Atlas lineage.

AI Observability in Production: How It Secures Modern Agent Workflows

Traditional software monitoring builds reliability by tracking uptime, latency, and error rates. As artificial intelligence moves into core enterprise operations, establishing robust observability in AI becomes essential to measure what systems do once live, moving far beyond basic prediction accuracy and server health. Modern non-deterministic models and autonomous AI agents act rather than just predict.

Build Embedded AI Analytics with Claude Code in 30 Min | LiveBuild | ThoughtSpot

Embedded analytics in 30 minutes: watch us embed an AI analyst and branded analytics into an app with ThoughtSpot's SpotterCode in Claude Code. Live Thursday, October 29 8am PT · 11am ET · 3pm GMT · 8:30pm IST What you'll see: Every step is real code against ThoughtSpot's Visual Embed SDK and REST APIs. No ThoughtSpot experience needed. Speaker: John Hegele, Principal Technical Architect, ThoughtSpot.

The B-Tree of Horror: Kafka migration tales to chill your partitions

In this session, Patrick from Lenses.io and Kafka expert Ben Gamble step into the darkest corners of Apache Kafka production environments. Whether you are a seasoned Site Reliability Engineer or a Data Engineer, these real-world 'horror stories' provide critical lessons on avoiding common pitfalls in distributed systems.

How to Turn Your Metrics Into a Monthly Executive Brief With AI Before Your Leadership Meeting

To turn your metrics into a monthly executive brief, run the Executive Decision Brief skill on your Databox data. Connect at least one revenue or core KPI source, run the skill in Genie or in Claude through Databox MCP, and schedule it monthly with a Routine. You get a one-page brief you can read in about 90 seconds: what moved, what’s working, what’s at risk, where your metrics disagree, and three decisions to put in front of the room.

Automated functional testing: How it works and tools

Automated functional testing means using scripts or tools to check that each feature of an application does what the requirements say, without a person clicking through every step. The tool sends the inputs, compares the result with what was expected and flags anything that breaks, on every build if you want it to. That is the textbook version. The practical version is simpler: you stop re-testing the login page by hand every Friday afternoon.