The Data Source #10 | π Modern Data Warehouses Expanding Horizons for New Data Architectures
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Welcome to The Data Source, your monthly (ish) newsletter covering the top innovation in data infrastructure, analytics and developer-first tooling. Subscribe now and never miss an issue ππΌ The movement towards real-time streaming infrastructures is finally crystalizing. In the last 3 years alone, Iβve observed a growing number of startups and products built around streaming data, many of which have received massive venture funding. I have also spoken to data practitioners across medium to large enterprises who are currently looking into optimizing their failing batch workflows to enable more efficient, fresher data pulls and faster time-to-insight. The heightened sense of awareness around streaming systems has not only brought into focus the existing challenges that make their implementation and adoption an engineering nightmare (e.g. ingesting, processing, storing, and serving of that data), but also offers a fresh scope for innovation.
The Data Source #10 | π Modern Data Warehouses Expanding Horizons for New Data Architectures
The Data Source #10 | π Modern Dataβ¦
The Data Source #10 | π Modern Data Warehouses Expanding Horizons for New Data Architectures
Welcome to The Data Source, your monthly (ish) newsletter covering the top innovation in data infrastructure, analytics and developer-first tooling. Subscribe now and never miss an issue ππΌ The movement towards real-time streaming infrastructures is finally crystalizing. In the last 3 years alone, Iβve observed a growing number of startups and products built around streaming data, many of which have received massive venture funding. I have also spoken to data practitioners across medium to large enterprises who are currently looking into optimizing their failing batch workflows to enable more efficient, fresher data pulls and faster time-to-insight. The heightened sense of awareness around streaming systems has not only brought into focus the existing challenges that make their implementation and adoption an engineering nightmare (e.g. ingesting, processing, storing, and serving of that data), but also offers a fresh scope for innovation.