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Microsoft Fabric: everything you need to know

In the ever-evolving landscape of data-driven decision-making, Microsoft Fabric is emerging as a powerful ally for organizations seeking a robust platform for data engineering, analytics, and machine learning workloads.

How we made our first custom GPT agent

At its first-ever DevDay conference, OpenAI unveiled several exciting developments that mark early steps toward more advanced AI agents. OpenAI introduced GPTs, empowering users to craft customized versions of ChatGPT for specific purposes without coding. These GPTs can seamlessly integrate external...

Challenges of Continuous Integration in Databases

Continuous Integration (CI) enables developers to frequently merge code changes into a shared database repository, making it easier to catch errors early and reduce integration problems down the line. Automating database schema migrations and testing as part of the CI process allows teams to achieve...

Azure Data Factory (ADF) - cloud based SSIS cousin

Ever found yourself wrestling with the complexness of SQL Server Integration Services (SSIS)? The meticulous organization of packages, manual column mapping and the relentless pursuit of debugging errors – data integration in SSIS can be, well, a bit of a marathon. But hold on! Enter Azure Data Fact...

Data Vault metodologijos nauda

Tvarkingas ir teisingas duomenų kaupimas, jų saugojimas šiandien yra vienas iš svarbiausių prioritetų kiekvienoje įmonėje. Būtent į šį pasaulį puikiai įsilieja itin sparčiai populiarėjanti „Data Vault“ duomenų saugojimo bei apdorojimo metodologija.

Azets took the data and computation resources seamlessly to the cloud with AWS

Moving Azets Cozone collaboration platform to the cloud doesn't have to be as difficult as one might think. Even in an industry that is subject to strict regulations, with the right solutions the journey can be simple.

Talk with your private PDFs and other files: a busy programmer’s tutorial on using LangChain and GPT 

According to Hal Varian, the ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that's going to be a hugely important skill in the next decades. So here's how you code it in 20 lines of Python.

How to use ChatGPT with your own (proprietary) data

ChatGPT is a revolutionary tool, especially the version 4. In this blogpost, I’ll share technical details about how to have an intelligent natural-language conversation with your proprietary information (and by that I mean a very large amount of non-public data, something that far exceeds the limits...

4 knygos, kurias verta perskaityti kiekvienam programuotojui

Kompetencija ir jos kėlimas yra neatsiejama twoday kultūros dalis. Nuolat raginame kolegas tobulėti siekiant naujų žinių, o mes pasirūpiname, kad būtų aplankytos geriausios konferencijos bei mokymai. Ofise turime sukaupę nemažą biblioteką, kurią atnaujiname ir papildome naujomis knygomis.

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A.I. and Mathematical Optimization: A striking Synergy

Artificial intelligence sounds sexy and we love the “Optimal” part of “Mathematical Optimization”. However, as we get down to earth and dig a little deeper we find assumptions and challenges making it hard to apply either technology in the real world. What if we put the two together, would we double...