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Previously, I wrote about the two-tiered data lakehouse with an analytical sandbox and a curated data warehouse in the second layer – the one for productised BI and the other for data science work. I was therefore intrigued when coming across a Forbes article titled ‘Three Keys to a Harmonious Relationship between Data Science and …
As you may have gathered from my previous post, I have become very interested in cloud-based data lakehouses. It was therefore with a keen interest that I read the article ‘Five Effective Ways to Build a Robust Data Lake Architecture’ on Enterprise Talk. While initially I was hoping that the author was going to review …
Long-time readers of my blog can likely recall my scepticism around data lakes when they first emerged. However, a lot of water has flowed into the space since then, motivating me to start investigating the area in-depth. My early criticisms against Hadoop-based data lakes were that they were too batch-oriented to cater for business analytics …
In my blog post last month, I started looking at the concept of data fabrics to get an understanding around what it is all about. This month, I continue with the discussion, focussing on the advantages of data fabrics. The points I have outlined below are based on a very good article written by Lori …
Seeing as I’m currently working at large for a federated organisation with significantly different and siloed business streams that are managed through a plethora of different systems – ranging from 30-year-old mainframes to modern in-cloud platforms – the topic of data fabrics is very interesting to me. Even more so given how I’m coming from …
Readers of this blog are no strangers to me discussing the importance of becoming a data-driven organisation or the steps required to become one. However, a Forbes article really brings this all home by discussing the big four aspects which this could entail.
Last month, I examined the importance of improving data literacy and briefly discussed five strategies organisations can employ to help achieve this. For my October piece, I want to build on these concepts and turn my attention to what makes data FAIR (findable, accessible, interoperable, reusable).
We all know the importance of accessing ‘clean’ data and the hidden insights it contains. But despite this, in my experience, many companies are still not comfortable with the data literacy skills of their employees. Often, this comes down to not understanding where to begin when it comes to boosting data literacy across all the …
There are many myths surrounding data analysis, especially when it comes to identifying the best ways to drive business growth and competitive advantage. Last month, I mentioned this Forbes article that examines 14 myths in this regard, with my discussion turning to six of them. In my blog article this month, I will examine the …
As many of you are aware by now, data quality is something I am passionate about. After all, without ensuring the quality of its data, no company can make the right level of decision-making to improve operations, enhance the customer experience, and drive business growth.
