We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas. Here are highlights from the collaborations, integrations and product enhancements that we were proud to dig in to throughout the week.

In our previous How to Design a Dashboard in Yellowfin: Part One article, we covered the the fundamental considerations to take when preparing your dataset, creating a concrete design and selecting the best types of data visualizations to represent dashboard data.

Data security will remain one of the biggest concerns for businesses this year. According to IBM, the average data breach in 2023 cost 4.45 million - and 82% of that involved data stored in the cloud. Damages from cybercrime, including the cost of data recovery, could total $10.5 trillion annually by 2025, causing more business owners to review their data security protocols. Which specific changes should you implement in the next 12 months?

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to meet user demand.

Apache Iceberg’s ecosystem of diverse adopters, contributors and commercial support continues to grow, establishing itself as the industry standard table format for an open data lakehouse architecture. Snowflake’s support for Iceberg Tables is now in public preview, helping customers build and integrate Snowflake into their lake architecture. In this blog post, we’ll dive deeper into the considerations for selecting an Iceberg Table catalog and how catalog conversion works.

Integrate YugabyteDB with BigQuery using CDC and why you would want to.

Built with BigQuery, Live Ramp Safe Haven enables cross-channel marketing analytics to help customers execute media campaigns.

In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm.

All tools on our list have proven to be capable and flexible enough to fit a variety of use cases. So, how do you choose? As you review these options, assess them based on the analytics tools, reporting tools, data management features, and integrations. If you find a cost-effective tool that matches the technical abilities of your team while delivering the backend power you need, you've got a winner. Data analytics makes decision-making five times faster for organizations.

Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.