Is Hadoop still useful for building a data lake?
Posté : lun. 17 août 2026 13:14
Hadoop data lake architectures were once popular for distributed storage and processing of large amounts of data. For organizations that already have a lot of Hadoop infrastructure, Hadoop remains relevant, although cloud-based platforms could prove to be easier to manage and more scalable. Factors to take into account include migration costs, current workloads, performance needs and long term goals. If you are supporting an older environment, it might be a good idea to make your environment more modernized over time instead of replacing it all at once. A data consulting company like Datalance can offer a practical evaluation of the existing architecture and potential for modernization based on the real business needs.