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Let's take a trip back to the birth of data analysis to the unbundling of the data stack. In the past 50 years, how have analytics changed overtime and how to predict the tools of the future?
Over the past decade, data analysis has become a key component of decision-making processes in all types of businesses. But how has analytics become so important and indispensable? Well, it has a lot to do with the evolution of the tools that are used in this field: let’s see how these have changed and grown over time.
The history of data analysis tools can be broken down into 4 periods. By the way, a short summary is available at the end.
Let’s start from the beginning, shall we? Here are the pioneers of data analysis and their groundbreaking innovations.
The release of Linux was the starting point of many innovations during the first decade of the 21st century.
For the last 10 years, the importance of cloud computing has skyrocketed, along with the number of innovations associated with it:
These breakthroughs enabled the creation of a new process known as ELT (Extract, Load, Transform) – marking the beginning of the Modern Data Stack as we know it, and the birth of a whole new set of tools and cloud technologies.
These new tools have now become crucial for reporting processes in companies by enabling visualization, transformation, storage, collection, governance – and better decision-making.
However, in order to reach their full potential, these tools need to be accessible for all data consumers – not only data scientists. This is why, at Husprey, we designed our Data Notebooks for everyone: let us help you bring the power of Analytics to your whole team!
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