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 […]
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 […]
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 […]
Conversational analytics and everything you need to know about it
With how the trends have been behaving lately, a lot of the spotlight was directed toward artificial intelligence and its capability to converse with humans. From AI-based chatbots and AI content generators to others, we have seen technology use available data to interact with others. But, it’s one thing to use data available through databases […]
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 […]
Visualization & streaming: How to use it to your advantage
Importance of data visualization Many people would say that knowledge sharing is one of the noblest things any human being can do. Aside from helping other people grow and be better, by sharing their knowledge people become happier, develop new professional or private connections and bring more purpose to their life. This is why the […]
All you need to know about data misinterpretation and misuse
Data misinterpretation comes from deliberate or unintentional false data interpretation. Often different data users will interpret data differently. It depends on the level of data literacy and what exactly users need for the data to show. Various influences determine how we see and use data, and wrong representation can lead to incorrect insights and metrics. […]
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 […]
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 […]