For our enterprise customers, data isn’t just a resource, it’s the engine for future growth. In this overview, Manuel Calvé (Head of Partnerships at Conduktor) explains why the Cloudera + Conduktor alliance is the "Gold Standard" for the modern data enterprise. By combining Cloudera’s hybrid open data lakehouse with Conduktor’s precision Kafka management, we are enabling industries like Finance and Manufacturing to turn streaming data into a high-trust, revenue-generating asset.

This is one question a banking team can ask Spotter right now, "Which customers are likely to churn based on declining balance activity over the last 90 days?" No ticket to the data team, no waiting on a dashboard build, and no SQL. Just a plain-language question and an answer your retention team can act on today. That's the shift from reactive reporting to agentic analytics. Your data answers back.

In Part 3 of this series, we discuss creating a dataset and have a first look at its governance and metatdata layers starting with the Dataset Overview. Stay tuned for more in the series as we continue building powerful Qlik data experiences!

Did you know you can call a Gemini model directly from a SQL query in BigQuery? In this hands-on codelab, Ayo and Annie do exactly that, and use it to solve a real problem: converting messy, unstructured text into clean, structured data at scale. This is Episode 1 of our multi-part series where we build a fully functional, data-aware AI agent on Google Cloud. *What we cover:* Chapters: Speakers: Ayo Adedeji, Annie Wang Products Mentioned: Gemini, BigQuery.

Are you using datasets in Qlik Cloud Analytics yet? Before jumping into building a Data Product, there’s one foundational piece you can’t afford to overlook: the dataset. It’s more than just a data asset—it’s the backbone of everything you create in hashtag#Qlik. I just dropped a new video breaking down what a Qlik dataset really is, why it matters, and how to use it the right way before moving on to more advanced builds.