Bridge the gap in your data architecture by strategically combining Databricks BI/AI with traditional business intelligence tools. Learn how to reduce licensing costs, improve dashboard performance, and implement a hybrid approach that leverages the best of both worlds. This practical guide shows you when to use native Databricks capabilities versus tools like Power BI for optimal cost-efficiency and performance.

There is a lot of buzz around GenAI, LLMs, AI, and ML. Knowing what you should implement or not implement is tough.
In this set of 3 videos, our Technical Advisor Josue Bogran has a frank and open conversation about these subjects with Denny Lee, Principal Developer Advocate at Databricks.

Sigma offers a user-friendly BI tool ideal for building and managing dashboards. With intuitive features, seamless embedding, and live data connections, it excels in usability. However, its steep pricing and lack of Git integration may deter small businesses. SunnyData recommends Sigma for startups and enterprises seeking responsive, customizable solutions.

This blog argues against the rush to adopt the latest AI technologies, emphasizing the importance of strong data engineering foundations and "Classic Analytics." It advocates for a balanced, pragmatic approach to AI adoption, ensuring long-term success over short-term gains.

Databricks AI/BI Genie leverages advanced AI models and Unity Catalog to answer business-specific queries with precision. This blog explores its potential to surpass traditional dashboards, offering a powerful tool for real-time, self-service analytics in a governed environment.

Databricks' AI Assistant is now GA and excels in SQL tasks, leveraging Unity Catalog metadata. It consistently delivers functional SQL queries and follows instructions well, proving itself superior to alternatives like ChatGPT for SQL code generation. Watch the video for insights.

The Data Mesh approach decentralizes data management to empower business units, facilitating quicker and informed decision-making. While promising for large institutions with mature data strategies, it presents challenges such as complexity, data fragmentation, and loss of economies of scale. SunnyData offers insights into whether Data Mesh is suitable for your organization.

Databricks is making strides in AI/BI Dashboards with enhanced data prep and intuitive UI. Discover its pros, cons, and future potential in our latest blog.

Disappointed by the high failure rate of AI initiatives? You're not alone. This post unveils the secrets to planning and executing a successful AI project. We detail our proven methodology for ensuring AI success, focusing on identifying high-ROI use cases and navigating the Proof-of-Concept stage effectively. Learn how to choose the right supplier, avoid common pitfalls, and ensure your AI project transitions smoothly from pilot to production, delivering real business results and a competitive edge.

Building on our exploration of Generative AI applications, this article dives deeper. We'll uncover the technical details: what makes it work and what challenges it faces. This equips you to understand how projects are built, their hurdles, and the best practices to overcome them.

The democratization of AI birthed fantastic products, but also downsides. Information overload, a talent gap, and poorly executed projects highlight the need for "know-how." This article empowers you to navigate this new landscape.

For years, we've dreamed of having natural conversations with machines. Chatbots were our first attempt, but they relied on scripts and struggled with anything unexpected. Generative AI changes the game. It learns from massive datasets, creating responses on the fly and handling complex ideas. This summary focuses on text applications, but generative AI is making strides in image, video, and audio too. The future of AI is dynamic and full of possibilities.