Systems | Development | Analytics | API | Testing

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.

In 2021, many organizations on a digital transformation journey sought cloud-native data management and analytics solutions that could facilitate search and analytics on their data in the cloud. Many of them are already running on the AWS cloud, so naturally, they turned to the AWS Partner Network to find technologies that could easily plug into their cloud stack, solve tactical pains, and deliver value quickly.

With the amount of data being created yearly reaching in the dozens of zettabytes and growing rapidly from year to year, companies have had to find creative solutions to manage big data. That is why loading terabytes of data in minutes or seconds for processing may be absolutely necessary for some businesses. This is the kind of speed and functionality that BigQuery gives. So, what is BigQuery? The Google Cloud suite offers a wide variety of services for every industry.

We’ve got some exciting news! Are you ready? Drum roll, please… We are proud and excited to announce our partnership with ThoughtSpot! You can now design and deploy your end-to-end data stack and analytics in a few clicks. It’s a major shift from how much time and resources it used to take to get from data to insights. This partnership unlocks your data capabilities and supercharges your growth. Keboola gets all your data nice and clean and delivers it to the destination of your choice.

Most data science projects don’t pass the PoC phase and hence never generate any business value. In 2019, Gartner estimated that “through 2022, only 20% of analytic insights will deliver business outcomes”. One of the main reasons for this is undoubtedly that data scientists often lack a clear vision of how to deploy their solutions into production, how to integrate them with existing systems and workflows and how to operate and maintain them.