Optable’s end-to-end data clean room platform for the advertising industry integrates with BigQuery to enable audience activation and insights.

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate.

Our ability to tell stories is an art form as old as language itself. From ancient cave paintings to oral traditions passed through generations, the essence of stories has evolved alongside our communication methods. It began with visual tales etched on cave walls, transitioned into spoken narratives, and eventually found its way into written, printed, and typed forms.

Before shedding light on metadata management, it is crucial to understand what metadata is. Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. It helps you discover, access, use, store, and retrieve your data, having a wide spread of variations. Metadata of an image. Image by Astera. Let’s look at some of the metadata types below.

In today's data-driven world, the ability to seamlessly connect, manage, and manipulate vast amounts of data is paramount for businesses and developers alike. Graph API stands at the forefront of this technological frontier, offering robust tools that facilitate complex data interactions within applications. This powerful API provides a framework for accessing and integrating data points in an intuitive and effective manner, supporting dynamic data structures across various platforms.

Last year, we introduced the Connect with Confluent partner program, enabling our technology partners to develop native integrations with Confluent Cloud. This gives our customers access to Confluent data streams from within their favorite applications and allows them to extract maximum value from their data.

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

For even the most tech- and data-savvy individuals, working with the levels of raw data produced by businesses today is overwhelming. Well-executed data dashboards solve this problem by eliminating the noise and drilling down to just the data points necessary at that moment. A data dashboard's dynamic nature helps your team get the most up-to-the-minute information right when they need it.