Analytics

In a survey by the Harvard Business Review, 87% of respondents stated their organizations would be more successful if frontline workers were empowered to make important decisions in the moment. And 86% of respondents stated that they needed better technology to enable those in-the-moment decisions. Those coveted insights live at the end of a process lovingly known as the data pipeline.

In the realm of data warehousing, star and snowflake schemas play crucial roles in organizing vast amounts of data efficiently. Both of these schemas offer unique advantages and cater to distinct requirements in the data processing landscape. Before diving into the details, let’s first provide a snapshot comparison to set the scene: Star schemas are more straightforward, while snowflake schemas are a more normalized version of star schemas.

In today's cloud-centric world, ensuring data quality and reliability on AWS is more crucial than ever. Dive into the best practices for data observability to harness the full potential of your data assets.

Companies want to train and use large language models (LLMs) with their own proprietary data. Open source generative models such as Meta’s Llama 2 are pivotal in making that possible. The next hurdle is finding a platform to harness the power of LLMs. Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features.

Embedded analytics solutions have become increasingly popular in recent years, as more organizations across multiple sectors recognize the value of integrating advanced business intelligence (BI) and analytical capabilities into their existing software applications. Such solutions allow for deeper insights from data to make more informed decisions - this is well established.

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Scorecards and Dashboards are both extremely valuable business intelligence tools, but what are their exact differences? Learn in this guide.

How do you write a service page that turns more visitors into buyers? We’re sharing almost two dozen examples of high-converting service pages below.