Systems | Development | Analytics | API | Testing

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.

Here are 10 different ways to deal with difficult clients in 10 different ways according to agencies who have been down in the trenches.

Many developers are interested in developing an application programming interface (API) for their startup. However, they don't know where to start and what mistakes to avoid. In this blog post, we will explore some of the most common errors made by API developers and how you can prevent them.