Systems | Development | Analytics | API | Testing

Demo: Unravel Data - Code-Level Insights for DataOps Teams

To ensure that jobs are running optimally, DataOps teams need to look at the detailed code. But DataOps teams don’t have the right tools to easily examine problematic code - or a simple path to optimizing it. With Unravel Data, DataOps teams can quickly troubleshoot applications that are throwing errors - all the way down to a specific line of problematic code. All in a single view.

Demo: Unravel Data - Data Pipeline Optimization (The Easy Way)

Data pipelines fail all the time for a variety of reasons; service downtime, data volume fluctuations, etc. Diagnosing these failures manually is very difficult and time consuming. Unravel Data allows DataOps teams to troubleshoot pipeline failures automatically – showing exactly where and why a pipeline failed, and precise recommendations to remedy the issues. Using Unravel, DataOps teams can now diagnose and fix data pipeline failures in a fraction of the time.

Demo: Unravel Data - Automated Troubleshooting for Job Failures

For DataOps teams, job failures are common. But finding the issue is (traditionally) where things get even worse. It can take hours or days to troubleshoot a job failure. Unravel Data provides a single view where DataOps teams can locate exactly where–and why–a job failed, along with precise recommendations to troubleshoot the error. DataOps teams are now able to both diagnose and troubleshoot job failures in minutes instead of days or weeks.

G2 Fall 2022 Reports: Keboola rated top in 7 categories

Since the beginning, Keboola has been designed to be a world-class data platform as a service. Based on the results of this season’s G2 statistics, we have succeeded yet again. The purpose of the Keboola platform is to make our customers’ data processing simple, reliable, and transparent throughout the company. We love our customers and value the feedback they've given our teams over the years.

Cost of Data Warehousing: Conventional Wisdom Versus Reality

This is a guest post with exclusive content by Bill Inmon. Bill Inmon is a prominent American computer scientist and prolific author, recognized by many as the father of data warehousing. Inmon has written over 60 books, including the first book exploring the core concepts of data warehouses. Inmon also held the first data warehousing conference and has written for many respected data management publications, as well as offering classes in data warehousing.