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BI + Big Data
Traditional BI needs to change to handle increasing data complexity, with insights now requiring both intelligence and large amounts of data. The Lambda architecture and Hadoop/Spark platforms are well suited for big data and real-time stream processing needs, allowing for a data lake approach where data gravity and latency/bandwidth matter. DevOps practices and cloud deployment help enable automation engines to extract value from both batch and real-time data sources.
![Data Science at Netflix - Principles for Speed & Scale [Rev 2019 keynote]](https://cdn.slidesharecdn.com/ss_thumbnails/revkeynote-principlesforspeedscale20190523public-190523182538-thumbnail.jpg?width=640&height=640&fit=bounds)
BI + Big Data
- 1. BI e BigData DiegoPacheco (@diego_pacheco) Software Architect | Agile Coach
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- 30. BI e BigData DiegoPacheco (@diego_pacheco) Software Architect | Agile Coach Obrigado!