Blog - Elitmind

Elitmind Data Lakehouse – a solution more agile than ordinary data warehouses

Elitmind’s core business is and always was implementing end-to-end data platforms that intend to unlock the potential of data for our customers. It is quite clear nowadays that data-driven decision-making is becoming the competitive advantage in every market sector. It is also clear that technology is rapidly changing every day and due to the advent […]

Foundations of digital success: Expert insights from Elitmind’s leaders

As a leading partner of tech giants like Microsoft, Databricks, and Snowflake, Elitmind has a unique perspective on the evolving IT landscape. In an exclusive interview with Piotr Waszczuk from IT WIZ, Elitmind’s leadership – Robert Woźniak, CEO and Co-founder, and Maciej Chojnacki, Head of Delivery & Technology – share their insights on […]

AI Strategy Cybersecurity Data platforms Databricks Microsoft

AI in Databricks – A New Level of Comfort and Aesthetics in Programming

Databricks continuously enhances its features to simplify and improve the workflow of data professionals. One such enhancement is the introduction of “slash commands,” quick commands that enable intuitive use of the Databricks Assistant within notebooks. Coding is not just about solving problems and implementing functionalities; it’s also about ensuring readability and aesthetics. With AI integration […]

AI AI assistant code formatting Databricks developer tools slash commands

Databricks Serverless Forecasting as a powerful tool for time-series model training

Time series forecasting is essential in many domains, such as finance, sales, and operations. It involves predicting future values of a variable based on its past values and other relevant features. However, traditional forecasting methods can be time-consuming and require expertise in selecting and tuning algorithms. In this article, I will show you how […]

Databricks Machine Learning serverless Unity Catalog

Custom Spark Data Sources: REST API Made Simple

Imagine all a data engineer or analyst needs to do to read from a REST API is: There are no direct request calls or manual JSON parsing – just Spark in the Databricks notebook. That’s the power of a custom Spark Data Source. In this article, we’ll explore how to build such a connector […]

API Data-science Databricks Spark-datasource