Data and AI Sales, IBM Finland
Data virtualization challenges traditional technologies
Data virtualization, which has emerged alongside traditional solutions, aims to achieve the same end results data lakes and data warehouses. Which is better: self-service virtualization or a comprehensive data warehouse?
Technical implementation of data virtualization
The traditional way of implementing data virtualization is based on data federation, where the central coordinator of the network collects and partially processes the data sent by all nodes.
A Cloud Pak for Data fairy tale
A fairy tale of the Cloud kingdom’s perfect library system – Cloud Pak for Data and why freedom of choice matters Once upon a time, in a kingdom on a planet far, far away, there was a young man who had inherited a second-hand bookstore from his parents. The bookstore’s shelves were filled with books, […]
Self-Learning Data Catalogs – Data Catalogs’ Sequel
Self-Learning Data Catalogs – Data Catalogs’ Sequel This is a sequel to the future progression of data catalogs. How to enhance and automate data management and analyzing processes with Data Catalogs by supporting the development of Artificial Intelligence (AI)? In these development processes, what are the main issues? Introduction I ended my first blog post […]
Self-Learning Data Catalogs – Savior of Data Lakes or Populist Promise?
Self-Learning Data Catalogs – Savior of Data Lakes or Populist Promise? In an increasingly complicated world you would like to see easy solutions for difficult problems. Is a Data Catalog the solution or an inflated promise when companies meet Big Data challenges? Introduction The development of artificial intelligence (AI) requires high-quality and versatile data. Not […]