How to Manage the Changing Data Landscape
summary
Claims that growing volumes — combining structured, unstructured and streaming workloads — increase data volumes more than 10x and break traditional ETL pipelines, so organizations must process data at the source with federated analytics to cut latency and handle real time streams and model training. Recommends pushing compute to where events are generated, unifying schemas into shared semantics across teams, and treating contextual insights as an architectural requirement rather than a reporting afterthought.
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