Data Engineering — What is the best Table Format — Iceberg / Hudi / Delta Lake
Data in the modern world is not just a byproduct of digital activities but a critical asset that shapes the future of industries, economies, and societies. 🔥It enables better decisions, drives innovation, and requires careful management to ensure privacy, security, and ethical use.
The aim of this article is to help data engineers, data architects, and organizations choose the best table format for managing large-scale information in a distributed storage environment.
In each organization, Data is a commercial asset that is audited and secured. To succeed in business, every company must ensure that high-quality data is available to everyone who require it. As data expands in size, it becomes critical to understand the various types and storage options accessible.
As big data systems get more complicated, it is vital to select a table format that meets the requirements of your data lakehouse architecture. Whether you manage real-time data input, large-scale analytics, or schema evolution, this comparison will provide in-depth insights into the benefits and drawbacks of each format, taking into account both present capabilities and future evolution.
In the modern era, we will evaluate Apache Iceberg, Apache Hudi, and Delta Lake, three…
