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Monthly Bytes

Our progress in 2022

- Community call from Datacoves - Deploy Airbyte on Kubernetes - Data engineering guides - Meet Airbyte Head of Engineering

June 2, 2022
MonthlyBytes
Here are the community news and product updates of the past month.
In the image above you can see our progress on some major things we want to build in 2022. For example, last month we fixed support for M1 chip laptops. You can check our public product roadmap at any time and get weekly updates on our Slack.
Check our public roadmap >>
In this edition of the Airbyte Community Call, Noel Gomez from datacoves share how they integrated Airbyte into their analytics workbench.
Watch it here >>
Madison Schott shares five best practices to design a data ingestion pipeline. It covers documenting your sources, keeping a copy of raw data at all times, orchestration, testing and alerting at the data source.
Read it here >>
Do you know the benefits of log-based Change Data Capture (CDC)? Thalia Barrera compares popular CDC methods and implementations.
Read it here >>
All data professionals have spent countless hours working on data movement, we want to hear your stories, what has worked, what hasn’t worked, what has made your job easier. All topics are on the table!
Submit here >>
Data integration can be used to create a unified view of your organization's data. Alex Marquardt discusses five key questions to come up with a data integration strategy.
Read it here >>
Chris Sean interviewed our Head of Engineering. Charles Giardina talks about hiring, building a strong culture, and maintaining focus in the midst of rapid growth.
Watch it here >>
Product Updates
During the last month, we upgraded six connectors to Beta and released two connectors to GA. We also provide a new Google Sheet destination and the Databricks connector is now available both in Airbyte Cloud and OSS.
Check the connector catalog >>
Tutorials
We updated one of our oldest and more popular tutorials. We also cover why to use Airbyte instead of Postgres native replication features: flexibility and ease of use.
Read it here >>
Moving data from an operational database to a data warehouses is one of the most popular use cases for analytical teams. Learn how to use Airbyte Cloud to load data from SQL Server to Redshift all within AWS.
Read it here >>
Community Content
Learn how to create a repository to store your infrastructure configuration, build a fully configured Kubernetes cluster with no prior knowledge, and install Airbyte on your cluster with plural.
Watch it here >>
PlanetScale is a MySQL-compatible serverless database. To give their users the possibility to move their applications data to a data warehouse, they built an Airbyte connector instead of a new ELT product.
Read it here >>
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