With the rapid advancement in technologies, companies are now in search of a better way to ensure that organizational data and information are kept safe and organized. One way through which businesses are doing this is through the use of Data Lakes to create a centralized place management infrastructure that allows every organization to manage, store, analyze and classify … [Read more...] about Data Lake Architecture: Benefits and Characteristics
data lake
What is Data Mesh? And Should You Mesh it Up Too?
Everyone working in or related to data analytics has surely heard of the buzzword catching on as fast as a wildfire Data Mesh. What is Data Mesh? Data Mesh is one of the hottest topics in data analytics at the moment. It has found its way into the trends that are predicted to disrupt and dominate the data market in 2021. But what exactly is Data Mesh and why more and more … [Read more...] about What is Data Mesh? And Should You Mesh it Up Too?
Is Data Mesh Right for Your Organisation?
In a previous article, we discussed the new enterprise data architecture spreading like wildfire among the data community “ Data Mesh architecture. We mentioned that it presents a paradigm shift in data architecture that sees the data industry follow suit by moving away from massive data teams prioritising centralised, monolithic data lakes and databases, to one that … [Read more...] about Is Data Mesh Right for Your Organisation?
“A Man of Principles” – Enterprise Architecture Blueprint for Utilities – Part 3
I am a Man of Principle I am a man of fixed and unbending principles, the first of which is to be flexible at all times “ a quote from former US Senator Everett McKinley Dirksen. Most probably he thought about politics in his role as senator, but the statement would equally suit coming from enterprise architect, too!? In part 1 “ The Good, the Bad and the Ugly of our … [Read more...] about “A Man of Principles” – Enterprise Architecture Blueprint for Utilities – Part 3
Data Science in Commodity Markets
Data Science in Commodity Markets At this conference you will identify the key purpose of data science application to ensure you end with tangible results while reducing time spent on data processing, and build trust in models. Commodity firms sit on vast amounts of data. This coupled with advancing technologies means that you can gain more and more value from this data. … [Read more...] about Data Science in Commodity Markets