IntroductionIT is turning data lakes into insight engines by adopting lakehouse architectures, unifying streaming and batch data on open table formats, and automating governance with active metadata—so analysts and data scientists can run BI and AI on the same, reliable data without costly copies in 2025. This evolution prevents “data swamps” by adding transactions, quality, … Read more
In today’s hyper-competitive and rapidly evolving business landscape, the ability to harness the power of big data has become a defining factor for success. Organizations generate and collect massive volumes of data from digital channels, IoT devices, customer interactions, and operational systems. However, the true value lies not just in the data itself but in … Read more
SaaS is redefining data lakes by collapsing batch and streaming into unified, governed architectures that serve AI and decisioning in seconds, not days. In 2025, three shifts dominate: lakehouse standardization with open table formats, streaming-first ingestion via CDC and event buses, and real-time analytics integrated directly with ML pipelines and applications. The result is fresher … Read more