Data fabric and its tech details

Welcome to the final post in the data fabric series. So far we introduced data fabric and talked about the business benefits it brings. Now it is time to look at technical questions that may come to mind as you explore the concept of the data fabric. Integration With Existing Data Systems Unless you are […]
Promoting data democratization and governance with data fabric

Lately, our colleague Valentina Dugan created a great post explaining How to tackle data security and concerns. Some key terms she covers there are unauthorized access, compliance, data masking, and data democratization. I couldn’t have imagined a more perfect backdrop for data fabric, the topic I’ve been wanting to write about for the past few […]
Data ethics and why it’s important for brand trustworthiness

There isn’t a blog post nowadays without someone saying this: “All companies are data companies.” And it’s absolutely true. Data has become the pillar of business society and something people trade with. Information in the digital age has become somewhat of a gold mine. But, with each piece of information comes the hot topic of […]
Data observability in a nutshell

There is a lot of talk about broad aspects of data science and data engineering, but few mention the importance of quality data and the processes behind it. Data observability is a term that handles data behind the scenes. From infrastructure to data movement, it’s integral to provide an unobstructed flow of information. Data observability […]
Deep dive into data democratization – the good and the bad

Data democratization is being labeled as one of the most attractive trends in data science and data management for the upcoming years. It’s been raising hype for quite some time and it’s not slowing down. As companies face more and more data, they need effective ways of handling it, but at the same time, they […]
How to deal with loudest guy-driven decisions in tech: Part II

We started with issues of a wrong tech choice in part I, and now we’ve come to part II where we discuss our approaches to the best solutions. There were two possible solutions to our problems. The first was to keep Ignite and invest efforts to optimize queries and improve cluster configuration options. These include […]
How to deal with loudest guy-driven decisions in tech: Part I

Technology and the tech era have brought many advantages, both to individuals and companies. But there is no one influenced more by technology and its trends than developers and engineers. Overall trends and hypes influence them and cause constant switchovers between technologies. Technology, especially new ones, can significantly improve an engineer’s life, but in some […]
Data, but make it customer-centric

3 methods that lead to your perfect customer Looking at any data set you collect in your business processes, you’ll realize it revolves around your customer or client. Each piece of information provides insights that are used for the objective of providing the best user experience. Whether we talk about products or services, the goal […]
Let’s dive into time series forecasting concepts

Croatia osiguranje & BIRD Incubator Data Challenge – Part 1 Data science isn’t only about using fancy visualization tools and robust machine learning algorithms. There is a lot of manual hard work beneath the shiny and aesthetically pleasing solutions. In this blog post, divided into two parts, we tried to sum up data science concepts, […]
The endless possibilities of machine learning

Machine learning – such a powerful and popular term that has taken over the software development industry, especially data-driven software solutions. It’s a method of data analysis that is based on the concept that systems can learn from data, identify patterns, and forecast future movements. For many companies that either generate or collect vast amounts […]