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March 2024 Summaries

4 posts from Airbyte

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This article discusses the process of replicating data in MySQL databases using two major methods - Change Data Capture (CDC) and row-based logging. It explains how to set up CDC replication between MySQL servers with GTIDs, and how to achieve CDC replication across data stores using Airbyte. The article also provides a step-by-step guide on how to enable binary logging in MySQL for replication purposes, and how to create a new MySQL source in the Airbyte UI.
Mar 15, 2024 1,837 words in the original blog post.
In this article, Jacob Prall shares his experience migrating PlanetScale data to Timescale Cloud as a result of PlanetScale's discontinuation of their free hobbyist tier. Despite Airbyte not having native connectors for PlanetScale or Timescale Cloud, he successfully used the vanilla MySQL and Postgres connectors to complete the migration in approximately 7 minutes and 16 seconds. The author highlights that DBaaS providers often expose instances with similar interfaces as their open-source counterparts, allowing Airbyte connectors to work seamlessly. He recommends testing smaller workloads before relying on these connectors for production databases.
Mar 13, 2024 466 words in the original blog post.
The text discusses the features and benefits of a fully-managed data movement platform called Airbyte. It highlights that it can be set up quickly, is secure, and has been used by over 40k companies. The platform allows users to embed hundreds of integrations in their applications and provides reliable database and API replication at any scale. Additionally, the text mentions resources for learning about data engineering, a knowledge base, community support, live events, and GitHub discussions for questions and ideas.
Mar 08, 2024 192 words in the original blog post.
Airbyte is a fully-managed solution for secure data movement across organizations, used by over 40k companies. It offers reliable database and API replication at any scale, with the ability to embed hundreds of integrations in an application. The platform also provides resources for Python developers to build new connectors quickly. With features like high-volume DBs with low latency and making sense of unstructured data using LLMs, Airbyte caters to various departments such as marketing, sales, product, finance, and engineering. It enables easy collection of credentials from end-users and offers a knowledge base for learning and staying updated in the field. The platform also has an active community of 15,000+ members on GitHub Discussions and live events by the Airbyte team. Madison Schott, an Analytics Engineer, shares her insights on data engineering through blogs and newsletters.
Mar 06, 2024 221 words in the original blog post.