Author: Marketing User

A Hands-On Guide to Apps on Databricks Stop spending months of DevOps work taking custom applications past the finish line. Streamline the process with a single, integrated platform that helps you quickly turn prototypes into production-ready applications. Report Snapshot Move from notebooks and prototypes to real applications Serve analytical data and application state through a…

The Five Pillars of Modern Analytics Broken architecture leaves data users in a constant fight against untrustworthy BI stacks and new systems that add complexity and compound data silos. Modern analytics only works when data, semantics, dashboards and AI live on one governed platform — like the Databricks Platform. Report SnapShot Use metadata-driven approaches for…

The Big Book Of Machine Learning Use Cases Machine learning never stops evolving. It’s hard to find real-life use cases you can apply to your day-to-day work. That’s why we’ve revamped our comprehensive guide to machine learning. In the new and improved Big Book of Machine Learning Use Cases — 3rd Edition, you get everything…

The Data-Smart AI Coworker Your AI assistants are great at handling generic tasks, but they miss the critical data context that defines your business. Reconciling definitions, tracing why two dashboards disagree, translating business intent into something queryable — that takes knowledge generic AI doesn’t have. Report SnapShot Why analysts are dealing with the context gap…

Databricks Fundamentals In just one hour, learn about the latest data and AI techniques and how you can use the Databricks Data + AI Platform to build all kinds of data and AI solutions across data engineering, data warehousing, data science and AI. Once you’ve completed these four short videos, pass a quiz to earn…

Unify data and analytics workloads Explore the Databricks Lakehouse Platform on AWS Find out how to launch a digital transformation that helps you drive innovation, increase productivity and accelerate business results. An independent research firm recently surveyed 251 data engineering leaders about how they’re using AI, data lakes and data lakehouses to achieve their goals.…

The Big Book of Generative AI GenAI is moving so fast, it’s not easy to find the latest thinking and code snippets. The Big Book of Generative AI brings together best practices and know-how for building production-quality GenAI applications. You’ll find technical content and code samples that will help you do everything from deploying your…

Boost GenAI ROI with AI agents According to a recent Economist report, 99% of global enterprises will use GenAI by 2027, but many will struggle to scale their projects. Gaps in infrastructure and data integration can lead to inaccurate or irrelevant results, limiting AI’s impact. The right AI agents ensure your GenAI applications are accurate,…

The Data Lakehouse for Dummies In just a few years, data lakehouses have quickly become the new paradigm for enterprise data architecture. Newly updated, The Data Lakehouse for Dummies, 2nd Edition, is both an introduction to data lakehouses and a step-by-step handbook for implementing best practices on your lakehouse. Report SnapShot Unification: Why the lakehouse…

Big Book of Data Warehousing and BI Business leaders want immediate answers to complex questions — not another dashboard. To turn data into insights, you need infrastructure built for it. Databricks Lakehouse combines the open and scalable framework of a data lake with the performance, governance and SQL familiarity of a data warehouse. Report SnapShot…