Anomaly Detection for Data Quality and Metric Shifts at Netflix
Anomaly Detection for Data Quality and Metric Shifts at Netflix In the course of transforming, publishing and visualizing data, there’s risk of “bad data” creeping into your output at every turn, hurting data credibility and distracting teams from investigating real metric shifts. How does Netflix prevent bad data from causing bad decision-making? We use a variety of techniques to automate the bas
Using Apache Arrow, Calcite and Parquet to build a Relational Cache
Using Apache Arrow, Calcite and Parquet to build a Relational Cache Everybody wants to get to data faster. As we move from more general solution to specific optimization techniques, the level of performance impact grows. This talk will discuss how layering in-memory caching, columnar storage and relational caching can combine to provide a substantial improvement in overall data science and analyti
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From Flat Files to Deconstructed Database: The Evolution and Future of the Big Data Ecosystem
