Knowledge base

In this insight, we explore what Mosaic AI is, how it integrates with Databricks (including MLflow), and how to use it effectively, along with key limitations and upcoming capabilities.

Many business leaders emphasise that "Cash is King", highlighting the crucial role cash plays in a company's financial health and stability. This underscores the importance of understanding how your company generates cash to meet debt obligations and fund operating expenses. An accurate cash flow statement is essential for gaining these insights, empowering business decision-making.

Securing your Qlik Sense applications is not a one-time task; it’s an ongoing process. By properly managing users, access rules and Section Access, you ensure that sensitive data is only visible to the right people. A well-implemented security model protects your organisation, supports compliance and builds user trust in your analytics platform.

The summit emphasised Databricks' focus on Apps, Databases, and Agentic AI, alongside its steady revenue growth and substantial valuation. Key announcements included the introduction of Databricks One for business users, Unity Catalog enhancements and LakeFlow Designer for no-code pipelines. Databricks also unveiled Lakebase for OLTP databases and Agent Bricks for automatically building AI agents.

With Qlik Cloud Analytics, self-service is no longer a vision — it’s a practical, scalable reality that empowers every user to make data-driven decisions.

​Soda Launch Week In case you have missed it, from June 9 until June 13, Soda made a series of announcements related to their product. As close partners of Soda and avid users of their software in our customers' analytics projects and element61 acceleration kits, we were delighted to see them launch some great new features in June 2025! To ensure you didn't miss anything, we've summarised the key announcements.

Databricks Apps has proven to be a strong enabler-bringing together data engineering, AI, and application development into a cohesive, scalable environment. As data and Al technologies continue to advance, platforms like this will play a pivotal role in helping organisations innovate and respond quickly to change

TL;DR The article outlines a solution for processing complex, binary data using Delta Live Tables (DLT) and mapInPandas within the Databricks ecosystem. Traditional ETL pipelines struggled with the unique challenges of mixed-format metadata and asynchronous data streams. By leveraging DLT's declarative ETL pipelines and mapInPandas for efficient Python-native transformations, we transformed binary data into structured, analytics-ready tables.

Migrating from SAP BW is crucial to stay competitive, with modern platforms offering better scalability, AI integration, agility, and long-term sustainability.