For more than a decade, enterprises have been locked in a cycle of building increasingly complex data stacks to keep pace with the demands of modern analytics. Warehouses, OLAP engines, and streaming systems have all played their part. However, as data volumes have increased, customer-facing use cases have proliferated, and costs have risen, the cracks in legacy approaches are widening.
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It's time to vote for the annual Database Trends and Applications Readers' Choice Awards, a competition in which the winning information management solutions, products, and services are selected by you, the readers. The voting period will be open and extended through June 5.
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Most people will watch the NFL draft for the picks, the trades, and the storylines. I see it as a data event. My hometown, Pittsburgh, hosted between 500,000 and 700,000 people across a dense downtown footprint shaped by three rivers, limited bridges, and infrastructure that already runs close to capacity. For a few days, there was almost no margin for error. A familiar system became a real-time operational test.
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Preparing a presentation on the Internet of Things (IoT) in asset management for an executive rail infrastructure audience does something unexpected to you—it forces you to confront not just the technology, but the human cost of its absence. The deeper I dug into the research, the more I realized the story I was building for that room demanded a wider audience. What follows is the article that preparation forced me to write.
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