Open data lakes: Future-proofing data management.

In the quest for high-performance data systems, the rise of the ELT (Extract, Load, Transform) model offers scalability and flexibility. Despite its benefits, choosing the right provider and target presents challenges. The proliferation of EL technology prompts organizations to evaluate options between building and buying software. An introduction to the Analytic Hierarchy Process aids in quantitative decision-making. Open data lakes emerge as the preferred EL destination, accommodating both structured and unstructured data. Leveraging cloud storage, modern data lakehouses offer scalability and advanced features. While open table formats gain popularity, challenges remain in achieving compatibility and standardization. The future heralds high-throughput, low-latency open tables, promising a unified approach to data management.