How to successfully build data and AI teams
A lot of companies are becoming data-driven. Which is a fabulous thing since the world we live in is primarily revolving around data. Markets, businesses, and consumers, all drive decisions and actions based on information. But, purely recognizing the need for data is not enough. Becoming data-driven means either building your own data and AI […]
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 […]
When is data fabric great for your business?
In a previous post, we had an introduction to the data fabric concept and architecture. Renato covered the topic perfectly and outlined the benefits and why should you embrace implementing it into your business. It might seem like a new buzzword, but in earnest, it shifts the trends in data analytics and data management. But, […]
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 […]
How to tackle data security and concerns
In these days of massive data amounts, AI, the development of online media, and such, data privacy and personal data have become an all-time concern. Alongside people that try to test the boundaries of data security and put such information at harm, even data systems and infrastructure can show weaknesses in their defenses. But what […]
Get to know our data detectives – Wilim
Come and meet Wilim, our data detective and data engineer. With a name so unique, you can bet his data skills are also unique. Dive deep into what he loves about his works, what motivates him, and why he believes data engineering brings so much fun and creativity. Tell us who you are and what […]
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 […]
How to determine KPIs for a Retail BI Platform
When talking about KPIs we must understand their applicability and what they actually mean. In any data science and data engineering project, the determination of KPIs, or rather metrics and insights, is an important step. How would you know what to measure and what can you actually do with all that data if you don’t […]
Apache Spark – How to create a powerful streaming application
After setting up Apache Kafka, the next step in our Retail Business Intelligence Platform project was to set up Spark, another widely used software solution from the Apache workshop. Apache Spark, the real spark necessary to ignite our project and turn it into a true stream processing arrangement, is probably the most famous streaming engine […]