In a previous post, we looked at why replicating data using the change logs (Change Data Capture, or CDC) is important and what are the common challenges in this approach. In this post, we are going to take a deeper look at managing historical syncs while replicating production databases to a data warehouse, and is the critical first step in this process. Path followed by the bold blue arrows shows the historical sync performed by Datacoral CDC connectors Why historical syncs? The aim of any connector is to make sure that data at the source is identical to the
Change Data Capture (CDC) is a common pattern for replicating data from databases to data warehouses by syncing the database change logs rather than fetching data from tables. Many data engineering teams we have spoken to (many of whom are our customers now) have mentioned the complexity of running a CDC system at scale. In this post, we will go over why CDC is important, what CDC for common production databases looks like and common challenges with using CDC. Why is CDC important? Many data-driven data companies today replicate data from different data sources into a data warehouse for
We are excited to share that our customers who use Rollbar for error monitoring in their software applications can now use our Rollbar connector to better analyze their current and historical software deployment errors and alerts across different environments. Rollbar enables software engineering teams to deploy better software, faster (we use Rollbar internally as well!). This is done by providing real-time alerting and insights into errors as they happen, so that the engineering team is empowered to fix issues before customers report them. Rollbar makes it easy to instrument applications across many different languages and platforms (Python, Javascript, iOS,
We are excited to share that our customers who use Drift as their conversational marketing platform can now better understand how their prospective customers are communicating with them by using our Drift connector. Drift helps their customers convert their digital traffic into revenue through personalized targeting and engagement with intelligent chatbots. Drift chatbots qualify leads who visit their customers’ websites, automatically book meetings for sales teams, answer questions using a knowledge base and help up-level modern B2B Marketing and Sales teams. However, these Chatbots require monitoring and improvement to better respond to ever-changing behavior patterns of software buyers today.
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