The last newsletter of 2024! Holiday edition ☃️
Keboola
Vývoj softwaru
Prague, Prague 10 036 sledující uživatelů
Self-service data operations platform enabling companies to increase efficiency and revenue thanks to automation and AI
O nás
Keboola is a self-service data management platform that combines data integration, storage, transformation, and automation. We help our clients get their data in order, build mature reporting and analytics practices, and improve data governance to be ready for AI. With Keboola, you can automate repetitive tasks, build data apps, and get value from data that you already have. Let us show you how to #DoMoreWithData.
- Web
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https://www.keboola.com
Externí odkaz pro organizaci Keboola
- Obor
- Vývoj softwaru
- Velikost společnosti
- 51 - 200 zaměstnanců
- Ústředí
- Prague, Prague
- Typ
- Soukromá společnost
- Datum založení
- 2008
- Speciality
- embedded analytics, analytics, data reports, data management, dataops, AI, data apps, data transformation, etl/elt a data automations
Produkty
Keboola
Software pro cloudovou integraci
Keboola puts you in full control of your data. Instead of separately selecting, acquiring, configuring and integrating endless list of technologies to build your data stack, Keboola gets you there in one platform. Stop working on your data infrastructure, and start using it instead. DATA STORAGE Keboola Connection provides elastic, scalable, secure storage for both structured and unstructured data. No decision needed, no DWH design. DATA SHARING Keboola's built-in Data Catalog makes sharing data between projects and teams secure and fast. See where the data comes from and who uses it. DATA TRANSFORMATIONS Nothing new to learn, transformations in Keboola Connection are based on tools any data engineer is already familiar with. Enjoy collaboration tools, version control and automation out of the box. DATA SCIENCE Whether SQL, Python, R or Julia are your tools of choice, Keboola's data science sandboxes get you straight to real work.
Lokality
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Primární
Dělnická 191/27
Prague, Prague 17000, CZ
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1461 Johnston Road
White Rock, British Columbia V4B 3Z4, CA
Zaměstnanci společnosti Keboola
Aktualizace
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We are happy to announce a new partnership: Keboola partners up with Leading Point, an AI governance and data enablement solutions provider focused on the financial services sector. Together we will be bringing innovation to clients globally, helping organizations optimize data processes, improve analytics, and address data pipeline challenges. #LeadingPoint #Keboola #AIGovernance #DataEnablement #swimline_data_management
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In anticipation of the holidays, we have an early Christmas gift for you!🎅 Keboola, together with Capgemini and Snowflake, has released AI Data Management For Dummies, written by data experts Andy Mott MBA, Dan O'Riordan, and Rithesh Makkena. This book serves as an easy introduction to generative and discriminative AI capabilities, explores practical use cases, and contains helpful data governance and compliance considerations. Get your complimentary digital copy here: 👉https://lnkd.in/evPxYCy9 Merry Christmas and Happy New Year!
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With support from our partners PwC Czech Republic, Keboola is rolling out a comprehensive platform to tackle Environmental, Social, and Governance (ESG) data management! We are happy to announce that Keboola ESG Solution is ready to help companies calculate their carbon footprint, create reports and dashboards to monitor key performance indicators, and support sustainability and compliance efforts across the organization. More details on our web: https://lnkd.in/eUcSH4rt
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Are you tired of pipeline issues? There is a somewhat counterintuitive way to both save time and make your pipelines more reliable—setting up an on-call team. Read about best practices for pipeline reliability in the new article penned by Pavel Chocholous with quotes and contributions from data experts, including David Kroupa, Head of Business Data at Seznam.cz 👇 https://lnkd.in/eSFHA4KR
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Something to read before the weekend. A new edition of the Keboola Newsletter!
Keboola: November’s Newsletter 🦃
Keboola na LinkedIn
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Last night, we proudly celebrated the incredible Kiran Bajar for winning the 'Highly Commended' award in the 'Role Model of the Year - Tech' category at the Computing Women in Tech Awards.!! 🐙 👏 Congratulations to Kiran Bajar and all of the nominees and winners celebrated last night. It was a fantastic evening recognizing the incredible talent and role models in the industry. #WomenInTech #WomenInTechExcellence #WomenInTechExcellenceAwards
VP Growth Operations @ Keboola . Highly Commended - Role model of the Year - Tech . Speaker . Board Member . School Board Governor . CHIEF Member . Kings College Mentor . Middle Temple Inns of Court Member #IAmAChief
Last night, I had the incredible honour of being a finalist at the Women in Tech Excellence Awards at the London Hilton On Park Lane. I’m thrilled to share that I was recognised as "Highly Commended" in the Role Model of the Year – Tech category! 🎉 A huge congratulations to all the finalists and winners—you are all truly inspiring. It was a privilege to represent Keboola and to celebrate the evening with fantastic colleagues. 🐙 Moments like these remind me why I’m so passionate about championing women in tech and creating space for more role models in our industry. Here's to breaking barriers and paving the way for the next generation! 💪✨
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By popular demand! How to parse dbt artifacts in Keboola by Martin Fiser.
Since some users have been asking - I have published a guide for parsing dbt artifacts in Keboola platform. As some users know, Keboola automatically stores run artifacts which are accessible for any components to process them - and artifacts from dbt Labs's dbt-core. A simple python script can then materialize them as tables in the storage - handy for establishing observability over data quality testing. I have also tried awesome Elementary's package, which can run without issues in Keboola platform, though I am seeing a bit of execution time overhead. Link in the comment.
GitHub - Vfisa/Tips-when-using-Keboola-dbt-Artifacts
github.com
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Uživatel Keboola to přesdílel
Had a fantastic time speaking at FIMA Events Europe 2024 London, sharing the Home Credit International / EmbedIT success story of how we collaborated with Keboola to unify, streamline, and democratise data. Huge thanks to Martin L. from Keboola for the invitation and to Andy Mott MBA for a brilliant on-stage interview! Together with Jiri Jaros we gained a wealth of insights. 🚀
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To help a #QSR brand succeed, business teams and IT teams must work together. 🤝 But what do you do when they operate in silos? Read the latest article in our QSR series to learn more about the Unified Business Data Model and how it helps teams find a common data language. 👉Read here: https://lnkd.in/eU93ZaGh Written by Martin Fiser and Martin L.. #dataanalytics #datadriven #datamanagement #bdm #businessdatamodel
Mind the Gap: Serving Up a Unified Business Data Model for QSR Success
keboola.com