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Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

Data Engineering with Apache Spark, Delta Lake, and Lakehouse

<span xml:lang="en">Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way</span>

Kukreja, Manoj

Zburivsky, Danil

Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big dataKey FeaturesBecome well-versed with the core concepts of Apache Spark and Delta Lake for building data platformsLearn how to ingest, process, and analyze data that can be later used for training machine learning modelsUnderstand how to operationalize data models in production using curated dataBook DescriptionIn the world of ever-changing data and schemas, it is important to build data pipelines that can...

Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by...

Data Engineering with Apache Spark, Delta Lake, and...

Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

Format

Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

Manoj Kukreja

Danil Zburivsky

Manoj Kukreja

Danil Zburivsky

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