Systems | Development | Analytics | API | Testing

Keboola

Improving Data Pipeline Reliability with On-Call Data Teams

A big part of data teams’ responsibilities is dealing with the unpredictable. Data pipelines don’t always run without incident: you need to rerun processes and fix data processing issues—in other words, put out data fires—to keep stakeholders happy. For every significant roadblock, additional time and effort is given over to investigation and post-mortem reports to make sure the incident doesn’t reoccur. But naturally, they keep happening.

Mind the Gap: Serving Up a Unified Business Data Model for QSR Success

‍ In our previous article, The Key to Unlocking QSR Growth, we discussed the guiding principles that lay a strong foundation for success in the Quick Service Restaurant (QSR) industry. We highlighted the importance of data analytics for improved decision-making, automation, and scalable growth.

The Key to Unlocking QSR Growth

Authors: Martin Fiser, Field CTO at Keboola, and Martin Lepka, Industry Solutions at Keboola The Quick Service Restaurant (QSR) industry sits on a goldmine of data, yet many brands are only scratching the surface with their analytics. Locked within siloed Point-of-Sale (POS) systems across individual franchisees, this data remains underutilized rather than being put to work.

Ahead of the Curve: Why Self-Service Data Management Can't Be Ignored

This year's Gartner Hype Cycle for Data Management report mentions self-service data management. It’s a game-changer that gives business users the power to work with data without constantly relying on IT, boosting data quality and making data available for analytics and decision-making. But what is it, really? How do you achieve self-service? Let’s take a closer look.

The Importance of a Unified Data Platform in Modern Finance

Historically, finance teams largely operated in the background, focusing on record-keeping, compliance, and ensuring that financial operations ran smoothly. Their primary responsibilities revolved around managing costs, balancing the books, and maintaining operational efficiency. In recent years, that has changed.

Keboola DEV/PROD Lifecycle Via Git

Keboola offers a robust virtual branching environment, enabling users to seamlessly create a shadow copy of their entire Keboola Project. This allows for development and testing of changes without affecting the production environment. These development branches contain a copy of the underlying project data, ensuring that when a pipeline is executed in the development branch, the production data remains unaffected.

The Full Power of Data Apps is Here

We’re happy to announce that Data Apps, which have been in Public beta since September 2023, are finally here for everyone. We received great feedback from the Beta users, and we are excited to roll out Data Apps to general availability. There is also few updates, see "What's new" below. Data Apps is a functionality that allows Keboola users to create interactive web applications that can be infused with your company’s data. It’s quick and easy and only requires knowledge of Python.

GenAI Meets AI Data Management: Keboola's Google Cloud Marketplace Debut

Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.