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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 …
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 …
The term ‘data lake’ has started to take a strong place in the Information Management architectures and processes of many organisations. In fact, over the last two years, I have seen more and more data managers developing data lakes in an effort to assist their organisations who need to store information that the business may …
Some days I get really flexed out of shape about the rate at which new terms become spontaneously combusted in the BI and analytics industry. The latest I came across is the term “elastic data warehouse.” So what are we doing here – bending the rules, stretching the imagination or flexing our muscles here? Now …
In previous posts I covered the data lake, approaches to “building” the lake and the data lake’s relationship with the traditional data warehouse. However as rosy as all that may seem, there are some people quite opposed to using the data lake as an all-encompassing free-for-all at-scale staging area. To an extent, I tend to …
The engineering analogy to building a data lake carries quite well. Putting a data lake in place is about as complex as building a man-made lake – there are so many aspects to consider. In this post I comment on some of the wisdom that have been published about building and populating data lakes. At …
In a previous post I gave a high level description and overview of the data lake. Informally speaking, from a BI point of view, a data lake is a large scaled-out all-encompassing free-for-all unstructured data staging area. In this post I take the discussion further to investigate whether it replaces or interacts with the data …
My mini-series on big data would be incomplete without a discussion on data lakes. The data lake is emerging as a popular concept to address big data challenges, especially in the context of big data analytics and the integration of big data into the BI ecosystem. Vendors tote the data lake as the new approach to …
