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Metadata is data about data. Think of names, creation dates, and any other contextual information that describes the data in your data lake or data warehouse. All this metadata adds meaningful information to your datasets. This improves the data’s usability and makes data a real asset for your organization. A catalog of all the metadata makes search and retrieval of any data possible.

Jet Reports, from insightsoftware is a fast, flexible, financial and business reporting solution inside excel that allows finance and business users to easily get all of the data they need in the format they want. Jet Reports easy-to-configure reports and pre-built templates allow users to eliminate the need for manual data dumps and IT dependency, allowing fast and easy access to data from your Microsoft Dynamics database in a format that works for you.

Snowpark for Python, now generally available, empowers the growing Python community of data scientists, data engineers, and developers to build secure and scalable data pipelines and machine learning (ML) workflows directly within Snowflake—taking advantage of Snowflake’s performance, elasticity, and security benefits, which are critical for production workloads. Using user-defined table functions (UDTFs) and the new Snowpark-optimized warehouse with higher memory, users can run large-scale model training workloads using popular open-source libraries available through Anaconda integration.

See how Rainforest QA works in less than two minutes.

Susie Wolff, former Formula 1 driver and founder of Dare to be Different, knows a lot about using data to thrive under pressure. In racing, data is the difference between being a champion and falling behind. How can your business become data driven the way Formula 1 has? How can you get the insights you need to thrive — not tomorrow, not next week, but right now? Industry analyst and digital transformation expert Maribel Lopez interviews Wolff, extracting takeaways that every business can apply.

Hear about David Noblet's work as Co-Founder + Chief Architect at ChaosSearch.

To coincide with our overview, watch this brief demo on how ChaosSearch can help with your big data analytics challenge of data preparation & governance.

For years, companies have viewed data the wrong way. They see it as the byproduct of a business interaction and this data often ends up collecting dust in centralized silos governed by data teams who lack the expertize to understand its true value. Cloudera is ushering in a new era of data architecture by allowing experts to organize and manage their own data at the source. Data mesh brings all your domains together so each team can benefit from each other’s data.

By segmenting your users into different groups, you can get a better understanding of how they use your API and what features they value most. Additionally, segmentation reports can help you identify areas where your API could be improved or made more user-friendly.

In this episode of “Data Cloud Now,” host Ryan Green interviews Snowflake’s Torsten Grabs about some of the big news coming out of Snowday, with a particular focus on Snowpark for Python, which is now generally available for building Python pipelines and ML models directly in Snowflake.