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By Keboola
Keboola, in cooperation with Capgemini and Snowflake, is releasing “AI Data Management For Dummies," a book written to be an easy introduction to the world of discriminative and generative AI.
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By Keboola
Keboola, the self-service data management platform, develops a comprehensive platform that simplifies Environmental, Social and Governance (ESG) data management. It automates data collection, monitors key performance indicators (KPIs), and provides real-time insights across all client entities. By replacing manual processes, it ensures precision, uniformity, and adherence to ever-changing regulations.
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By Keboola
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.
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By Keboola
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.
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By Keboola
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.
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By Keboola
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.
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By Martin Lepka
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.
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By Keboola
The purpose of this post is to describe the integration and benefits of combining Google’s new BigQuery Continuous Queries capability with Keboola’s orchestration capabilities. Combining these capabilities enables organizations to react more quickly to external and internal events.
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By Keboola
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.
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By Keboola
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.
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By Team Keboola
Known for their delicious food, Brett Kokot and Jeff Miller talking about their experience using Keboola and how they were able to transform their processes using Keboola, Snowflake and Looker for all their data needs.
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Keboola is a cloud based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products.
We significantly reduce or eliminate:
- Time spent on repetitive maintenance tasks.
- Long adoption and learning curves with outdated systems and processes.
- Tedious and drawn-out menial responsibilities which detract from efficiency.
Building on knowledge already plentifully available in the market such as SQL and R, we are able to achieve unparalleled Time to Value with our implementations. Many of our customers are completely self-serving from the inception of their project.
Let us show you what your company has been missing.