A Data Lake is a central repository that allows structured and unstructured data to be stored at any scale. A Data Warehouse, by contrast, is a system that helps analyze, report, and visualize data to make better decisions.
Data has become one of the most important assets of companies in the digital age; However, the concept of “Data” is so new and broad that even experts in this field approach it with very different definitions and perspectives.
As difficult as it is for data scientists to label data and develop accurate Machine Learning Models, managing models in production can be even more daunting.
Big Data Analytics uses advanced analytical techniques against massive, diverse datasets from different sources and contains structured, semi–structured, and unstructured data of varying sizes from terabytes to zettabytes.
Predictive analytics transforms data into actionable insights, but only when combined with the decision-making process. As businesses become more adept at predictive analytics, data harmonisation becomes critical to success. What exactly is data harmonisation, and why is it important?
With the opening date of the Museum of the Future in Dubai approaching (February 22, 2022), attention is turning to the building, which has turned into a masterpiece of architecture, design and engineering creativity in the region and the world. » to the most beautiful museums in the world even before its opening, not only because of its unique design, but also for its innovative innovation that demonstrated the capabilities of robots and artificial intelligence applications in the completion of exceptional projects according to amazing artistic and aesthetic standards.