Building a Cloud ETL Pipeline on Confluent Cloud
As enterprises move more and more of their applications to the cloud, they are also moving their on-prem ETL (extract, transform, load) pipelines to the cloud, as well as building […]
As enterprises move more and more of their applications to the cloud, they are also moving their on-prem ETL (extract, transform, load) pipelines to the cloud, as well as building […]
This article shows how you can offload data from on-premises transactional (OLTP) databases to cloud-based datastores, including Snowflake and Amazon S3 with Athena. I’m also going to take the opportunity […]
Kafka Connect is the part of Apache Kafka® that provides reliable, scalable, distributed streaming integration between Apache Kafka and other systems. Kafka Connect has connectors for many, many systems, and […]
Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka® and Confluent Platform can provide the foundations […]
Red Pill Analytics was recently engaged by a Fortune 500 e-commerce and wholesale company that is transforming the way they manage inventory. Traditionally, this company has used only a few […]
The way in which we handle data and build applications is changing. Technology and development practices have evolved to a point where building systems in isolated silos is somewhat impractical, […]
KSQL, the SQL streaming engine for Apache Kafka®, puts the power of stream processing into the hands of anyone who knows SQL. It’s fun to use for exploring data in […]
Typically, an enterprise service bus (ESB) or other integration solutions like extract-transform-load (ETL) tools have been used to try to decouple systems. However, the sheer number of connectors, as well […]
In this post I’m going to show what streaming ETL looks like in practice. We’re replacing batch extracts with event streams, and batch transformation with in-flight transformation. But first, a […]
There has been a lot of talk recently that traditional ETL is dead. In the traditional ETL paradigm, data warehouses were king, ETL jobs were batch-driven, everything talked to everything […]
Fully managed Apache Kafka as a service
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