A Data professional with a Master's degree in Big Data and 4 years of experience managing and optimizing large data infrastructure in the financial services and gaming industry. SQL is my playground. I enjoy working with different databases, tools and technologies in data engineering with a keen interest in SRE, Cloud and AI.
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This post aims to provide a historical picture of the evolution of the typical data stack over a span of about 5 decades. A lot has happened, but I will try to keep it as simple and digestible as possible. Fig 1: Evolution of the tools, concepts and...

Introduction This article will discuss compression in the Big Data context, covering the types and methods of compression. I will also highlight why and when each type and method should be used. Diving in What is compression? According to the gene...

There's often a huge fuss about making data-driven decisions, leveraging data analytics, using data science and data-centred thinking. From a technological point of view, data is usually stored and accessed using databases. Databases, often referred ...
