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Note: To follow best practices guide, you must have the Persisted Streams add-on in Striim Cloud or Striim Platform.IntroductionChange Data Capture (CDC) is a critical methodology, particularly in scenarios demanding real-time data integration and analytics. CDC is a technique designed to efficiently capture and track changes made in a source database, thereby enabling real-time data synchronization and streamlining the process of updating data warehouses, data lakes, or other systems.Change Data Capture to Multiple SubscribersIt is common for organizations to stream transactional data from a database to multiple consumers – whether it be different lines of the business or separate technical infrastructure (databases, data warehouses, and messaging systems like Kafka). However, a common anti-pattern in CDC implementation is creating a separate read client for each subscriber. This might seem intuitive but is actually inefficient due to competing I/O and additional overhead created on t

Striim released the latest version 4.1.2The new version offers users tools to help with their streaming use cases, management tasks, and configurations, seeking to increase team collaboration with automation.Take a look at what is new in this version:New Features in Striim 4.1.2. New Features in Striim Cloud 4.1.2. Enjoy!

Striim is crossing the pond this year for Big Data London!Join the networking reception at Big Data London that focuses on creating a complete customer 360 view. Chat with the industry’s leading voices about the need for data stack operationalization and unification; the democratization of data, and the importance of making your data lakehouse your single source of truth for your reliable data.  Connect with your data peers Enjoy food, drinks and a nice reprieve from the conference floor Mingle with industry leaders from across the Modern Data Stack  Hosted by Databricks, dbt, Monte Carlo, Striim and SnowplowWednesday, September 21st | 5:00 – 7:30pm BST@ The Albion, 121 Hammersmith Rd (4 minutes from the Olympia) RSVP Link: https://snowplow.io/events/beers-with-data-peers/?BigData_LDN_Source=Striim