Introduction As we mentioned in the previous article in this series, migrating data from OLTP to OLAP is possible. This tutorial shows you how to set up a Postgres Docker image for usage with Debezium […]
Introduction A quick calculation of analytical business data using metrics for modeling, planning, or forecasting is possible with OLAP only. Also a lot of business applications for reporting, simulation models, information-to-knowledge transfers, and trend and […]
Introduction A financial technology (FinTech) company may integrate Kafka with ClickHouse to enable real-time stream processing of financial data, across a variety of use cases such as merchant settlements, fraud analytics, etc. Runbook to integrate […]
Introduction Setting up real-time streaming bulk data loading from Kafka to ClickHouse involves several steps: Install and configure Kafka: Install and configure Apache Kafka on a cluster of machines. This will allow you to produce […]
Introduction Kafka is the ideal open source platform to implement real-time stream processing in ClickHouse for real-time analytics. At ChistaDATA Inc., we have extensive experience in working with Kafka in the context of ClickHouse for […]
Introduction A memory leak in a Kafka producer can occur when the producer is unable to release memory that is no longer needed. This can lead to poor performance and, in extreme cases, cause the […]
Introduction Kafka is a distributed streaming platform that can be used to collect, store, and process large streams of data in real-time. ClickHouse is a columnar database that can be used to perform real-time analytical […]
Introduction Apache Kafka is a distributed event streaming platform developed by Apache Software Foundation. Visit the official page before proceeding for a detailed introduction to the basics of Kafka. The installation instructions are available here. ClickHouse […]
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