Simplifying Data Pipelines With Lakeflow Declarative Pipelines: A Beginner’s Guide
Description
As part of the new Lakeflow data engineering experience, DLT makes it easy to build and manage reliable data pipelines. It unifies batch and streaming, reduces operational complexity and ensures dependable data delivery at scale — from batch ETL to real-time processing. DLT excels at declarative change data capture, batch and streaming workloads, and efficient SQL-based pipelines. In this session, you’ll learn how we’ve reimagined data pipelining with DLT, including: A brand new pipeline editor that simplifies transformations Serverless compute modes to optimize for performance or cost Full Unity Catalog integration for governance and lineage Reading/writing data with Kafka and custom sources Monitoring and observability for operational excellence “Real-time Mode” for ultra-low-latency streaming Join us to see how DLT powers better analytics and AI with reliable, unified pipelines. Talk By: Brad Turnbaugh, Data Engineer, 84.51 ; Matt Jones, Senior Product Marketing Manager, Databricks Here’s more to explore: Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/data-engineering The Big Book of Data Engineering: https://www.databricks.com…
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