Systems | Development | Analytics | API | Testing

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Run your jobs faster with Keboola's new feature: Dynamic Backend

Data transformations are the backbone of smooth-running data operations. Transformations are used in data replication between databases, data migration from cloud to on-premise, and data cleaning (aggregations, outlier removal, deduplication …) aka all the good stuff that goes into extracting insights from data. But as any data professional can attest, transformation can also be a painful bottleneck. Think scripts that run for an entire day and finish just before the next scheduled job.

Strategies for optimizing your BigQuery queries.

Did you know that optimizing SQL queries can be cost efficient? In this episode of BigQuery Spotlight, we speak to some strategies for optimizing your BigQuery queries. We’ll walk through what happens behind the scenes for more complex queries, and show you specific tactics you can use to optimize your SQL. Watch to learn some great techniques on how to make your queries more performant!

ThoughtSpot for ServiceNow Analytics

With ThoughtSpot, you can deliver a modern, familiar search-driven analytics experience on all your ServiceNow data. Drill anywhere, and get granular insights instantly. ThoughtSpot for ServiceNow Analytics is compatible with the Snowflake Data Cloud and other cloud data warehouse platforms. It leverages the standard ServiceNow data model while remaining highly flexible and customizable. Stop living in canned reports.

Running Mobile Device QR Code Tests

When injecting an image with a QR Code or barcode, the image size in your preview may exceed the boundaries of the target scanner area, which would prevent your app from reading the code. In this scenario, you'd need to add padding to your uploaded image so that when it's scaled to full-screen, the QR Code will fit inside the scanning area limits and can be processed.

Why Error Monitoring is an Essential Part of Continuous Testing

In the modern era of DevOps-driven development, teams are increasingly pushing smaller and smaller increments of code into production faster and faster, often leading to inadequate testing. To assure and improve the quality of software in production, many developers are now benefiting from a new test methodology that combines functional testing with error monitoring in production.