Modern Data Lakehouse Platforms
<p>The growth of digital data, often referred to as “big data,” has been exponential in recent years. This exponential growth is driven by various factors, including technological advancements, increased digitisation, and the proliferation of internet-connected devices. To address the big data problems, data engineering world adopting large scale distributed systems i.e., data lakes, data warehouses and data lakehouse platforms.</p>
<p>Data lakes are good for storing all kinds of data. It is more about read on schema. Enterprises can dump all their data into data lakes and then process whenever it required.</p>
<p>Data warehouses are good for storing or managing structured data on moderate scale. Traditional data warehouses are very expensive in terms of storage and compute. Data warehouses are not good for storing semi structured or unstructured data.</p>
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