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Summary Building a data team is hard in any circumstance, but at a startup it can be even more challenging. The requirements are fluid, you probably don't have a lot of existing data talent to manage the hiring and onboarding, and there is a need to move fast. Ghalib Suleiman has been on both sides of this equation and joins the show to share his hard-won wisdom about how to start and grow a data team in the early days of company growth.
Organizations use Kafka and Debezium to track real-time changes in databases and stream them to different applications. But often, due to a colossal amount of messages in Kafka topics, it becomes challenging to serialize these messages. Every message in Kafka’s topic has a key and value.
Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today. Editor’s Note: DEW featured in AirByte’s State of the Data & Slack’s usage of Kafka DEW has been recognized as the number one individually run data newsletter in the industry, according to the latest AirB
With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.
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