Migrating from batch to real-time data pipelines requires a strategic approach. Five practical tips are outlined: prioritize pipelines by business impact, adopt Change Data Capture (CDC) as an incremental step, take a gradual transition approach rather than a full cutover, leverage modern platforms like Snowflake, Databricks, and Fabric, and use orchestration tools like CData Sync to automate the process. The post also promotes an upcoming sponsored webinar covering these topics in depth.

5m read timeFrom towardsdatascience.com
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1. Decide which pipelines to modernize first based on impact.2. Use Change Data Capture (CDC) to move from batch to incremental replication.3. Take a gradual, step-by-step approach.4. Leverage modern data platforms like Snowflake, Databricks, and Fabric.5. Consider products like CData Sync for easy pipeline orchestration.

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