When AI came on the scene in analytics, Qlik took a very different approach than ‘black box’ tools. We felt strongly that AI should be utilized to enhance human intuition, instead of replacing it. And of course, the term augmented analytics is now well known. That’s not a coincidence.
Here’s a story about a developer surviving in a world of APIs, Kubernetes and rapid application modernization. Meet Josh (a pseudonym). Josh is your typical developer. He’s good at writing code in his native language, hates documentation and REALLY hates the “drag and drop” approach to developing software found in bloated API management platforms. Josh would rather write code, weave in some docs and avoid worrying about security, networking, deployment and reliability.
Today we’re announcing a public preview for the BigQuery native JSON data type, a capability which brings support for storing and analyzing semi-structured data in BigQuery. With this new JSON storage type and advanced JSON features like JSON dot notation support, adaptable data type changes, and new JSON functions, semi-structured data in BigQuery is now intuitive to use and query in its native format.