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Confluent is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream.

Learn about the two different ways to convert a database into a data warehouse.

Kafka allows you to think big, without compromising on the stability, reliability and the high performance of your system.

Amazon Redshift is a data warehouse aimed at large scale analytics. Elasticsearch is a search engine. It is wonderful for full text search over the documents stored in it.

Learn about common open source ETL tools that have Python client libraries as well as information regarding building an in-house solution.

When you are using a third-party ETL pipeline-as-a-service they take care of keeping your Redshift cluster clean and healthy. But in case you need to manage it on your own, you need to keep in mind the importance of Vacuum and Analyze operations.

CloverETL is a data transformation and data integration tool (ETL) distributed as commercial open source software.

Microsoft SQL Server Integration Services (SSIS) is a platform for building high performance data integration solutions, including ETL packages for data warehousing.

Apache Kafka is definitely a wonderful tool for serving as the basis for a stream processing pipeline.

IBM introduced Infosphere Information Server as a complete set of business intelligence and data warehousing products which operate in four functional areas

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