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James Spyker
James Spyker
2 months ago

Streaming Transformations as Alternatives to ETL

The strategy of extracting, transforming and then loading data (ETL) to create a version of your data optimized for analytics has been around since the 1970s and its challenges are well understood. The time it takes to run an ETL job is dependent on the total data volume so that the time and resource costs rise as an enterprise’s data volume grows. The requirement for analytics databases to be mo... Read More

Seth Dobrin
Seth Dobrin
2 months ago

Non-Obvious Application of Spark™ as a Cloud-Sync Tool

When most people think about Apache Spark™, they think about analytics and machine learning. In my upcoming talk at Spark Summit East, I'll talk about leveraging Spark in conjunction with Kafka, in a hybrid cloud environment, to apply the batch and micro-batch analytic capabilities to transactional data in place of performing traditional ETL. This application of these two open source tools is a no... Read More