LT_TD: Blog

Designing OAuth client with Swift Actors

Kasparas Jonas Kizlaitis, Senior iOS Developer — Fri, 02 Feb 2024 07:53:33 GMT

We, software developers, seem to know that system security is important. We use hundreds of different online tools, systems, and websites every week and we generally trust the ones made by respectable companies. But how can you make an app that would match all of the industry standards?

Storing passwords securely, using secure SSL connection, OAuth 2.0, are just some of the most basic requirements. Yet times are changing, new language features, new frameworks are being introduced and our knowledge might be out of date. After all, think about it for a second – how would you implement a fully functional, bugless and thread-safe OAuth 2.0 client, if you started a new Xcode project?

When software assets become liabilities

Mantas Urbonas — Tue, 16 Jan 2024 12:15:30 GMT

Microsoft Fabric: everything you need to know

Tautvydas Raibikis, Data Engineer — Thu, 30 Nov 2023 07:16:39 GMT

How we made our first custom GPT agent

Vilius Žukauskas, Development Department Manager — Tue, 14 Nov 2023 09:04:33 GMT

In this blog post, I'll share my experience creating a custom GPT and the lessons I learned along the way.

Challenges of Continuous Integration in Databases

Algirdas Berneris, Senior BI Developer — Tue, 07 Nov 2023 07:09:12 GMT

Azure Data Factory (ADF) - cloud based SSIS cousin

Vilius Žukauskas, Development Department Manager — Tue, 03 Oct 2023 11:20:00 GMT

Imagine you're at the helm of a data-driven organization. You understand the critical role integration services play in your daily operations. They're the invisible gears that extract, transform, and load data from different corners of your organization into one cohesive system. For years, you've relied on Microsoft's Integration Services (SSIS) to make this happen. But lately, the buzz around cloud computing has piqued your interest and you're contemplating moving your trusty integration services to the cloud.

This is where Azure Data Factory comes into play. With Azure Data Factory you can craft, schedule and oversee data pipelines effortlessly. It's like having a scalable and cost-efficient data moving service at your fingertips, connecting your on-premises and cloud-based data sources seamlessly.

Transitioning your data processes to the cloud is a significant decision and it's normal to feel overwhelmed. However, with careful planning, this shift can lead to enhanced efficiency and scalability.

To make this transition smoother, start by understanding your current integration landscape. Take inventory of your existing data sources, identify common data transformations, and assess if there's any custom code in play. This step will provide a solid foundation for a successful migration to the cloud.

Data Vault

Aušra Lukaševičiūtė, BI Developer — Thu, 13 Jul 2023 12:10:17 GMT

„Data Vault“ atlieka ne tik duomenų sandėliavimo (angl. Data Warehousing) vaidmenį, bet taip pat duomenų analizės, kuri padeda optimizuoti verslo procesus, pagerinti verslo našumą bei padeda priimti daug efektyvesnius strateginius sprendimus.

Duomenų sandėlis - tai yra vieta, kurioje saugoma struktūrizuoti bei atitinkamai pagal verslo reikalavimus apdoroti duomenys.

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

Kristijonas Bulzgis, Software Architect — Thu, 29 Jun 2023 06:43:24 GMT

Azets has just gone through an extensive data migration process, where the task has been to move the Azets Cozone’s platform precious data to the cloud, as well as to ensure a seamless and uninterrupted migration of the databases to AWS.

Through a close collaboration with twoday, Azets has implemented automation, processes and tools. This makes it possible for the development teams in the organization to migrate their own databases and computation resources to the cloud platform themselves, while all applications function optimally after the migration.

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

Jevgenij Nekrasov, Development Department Manager — Wed, 17 May 2023 11:31:16 GMT

Before we begin, please keep in mind, we are not promoting you to send your proprietary data files or anything, which is valuable for you to OpenAI ChatGPT API. Please consider using your own private GPT models deployments on Azure OpenAI or look at community work for such LLMs like LLaMa or Vicuna.

How to use Chat GPT with your own (proprietary) data

Jevgenij Nekrasov, Development Department Manager — Tue, 09 May 2023 09:53:24 GMT

What I like about ChatGPT is its ability to understand my natural language incredibly well: I can ask questions like: “what were the reasons for…” or “summarize top 5 risks of…” and the AI gets exactly what I mean, even if my input was unstructured, grammatically incorrect or convoluted. ChatGPT model is trained with tens of billions of inputs, so I can have a conversation about almost any topic in the world.