Why The Modern Data Stack Is Broken And How To Fix It
insideBIGDATA, Monday, April 15th, 2024
Data management has evolved significantly over the last several decades. Years ago, the architecture was much simpler - think Oracle databases running on IBM mainframes, in the form of an on-premise data stack.
When the cloud evolved, it solved some of the big disadvantages of on-premises data stacks, including cost, limited user access and processing power. But eventually, significant problems began to appear - the volume and diversity of data sources exploded, and so did the management and analysis required for this data.
This led to the next stage of evolution - the modern data stack. Now companies had more than just a relational database in their arsenal. By adopting a large set of tools, companies could analyze much broader datasets and benefit from better performance. From a management and cost perspective, a modern data stack in the cloud seemed to make everything much easier. Scalability, speed to high-quality insights and low CapEx encouraged adoption.