How to deal with loudest guy-driven decisions in tech: Part II

Query migration

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

loudest guy-driven decisions in tech

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

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

Data Science

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

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 […]

Data-driven startups – a new driving force of market changes

The reason why startups are interesting is that they require having a set-in business model. They need to have their business plan and future strategies outlined in line with the state of the market. Usually, startups are based on innovative ideas that solve consumers’ or clients’ problems and they answer their needs.   Startups are […]

What are wearable devices without data science and engineering?

In the world of wearable devices, user experience is dependent on metrics and insights they get from using such devices. The accuracy of those metrics is driven by the processes and methods in the fields of data science and data engineering. Our own data detective, Dario Bošnjak had the pleasure of working with the producer […]

Are You Concerned About Starting a Data Science Project?

If you are reading this, there is a high probability that you have a problem and you think that data can be a solution for it. Another option is that the data is your problem — you have lots of it but it is not clean, comes from many sources, and is unorganized and unreliable. […]

Data Integration Tools vs. Data Processing Frameworks/Libraries/Engines

Introduction For any data engineer, data pipelines are very important. Choosing how to develop one is integral for the person building it since it’s going to determine the complexity of the process. When developing a data pipeline you can use two approaches. One of them is to use a programming language and a data processing […]