Data Bricks
flow-image

Big Book of Data Engineering: 2nd Edition

Published by Data Bricks

Best practices and real-world references

Learn about data engineering on the lakehouse

Stay up to date with the latest technical guidance for data engineers by downloading The Big Book of Data Engineering with all-new content. This eBook will help you address challenges such as implementing complex ETL pipelines, processing real-time streaming data, applying data governance and workflow orchestration. You’ll benefit from battle-tested best practices, code samples and guidance as you build your next data pipeline. You’ll also see real-life end-to-end use cases from leading companies such as AT&T, Grammarly and Rivian.

Download now to learn about:

  • Top 5 tips for performance optimization
  • Building production-ready streaming pipelines
  • Easy data ingestion to the lakehouse
  • Data lineage with Unity Catalog
  • Simplifying change data capture with Delta Live Tables 
  • Companies leveraging the Databricks Lakehouse Platform for production workloads

Download Now

box-icon-download

Required fields*

By registering, I agree to the processing of my personal data by Databricks in accordance with their Privacy Policy. I can update my preferences at any time. Please agree to the conditions

By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@headleymedia.com.

Related Categories Hardware, Server, Data Warehousing, Data Centers, Applications, SaaS, Databases, Open Source, Telecommunications, Big Data, Data Warehousing, Cloud Computing, Compliance, Data management, Infrastructure Management, Data Centers, Security Solutions, SaaS, Cloud Storage, ERP, Cloud Computing, Big Data, Databases, Infrastructure Management, Data Centers, Server, Storage, Cloud Computing, Data Storage, NAS, SAN, Service Providers, Cloud Security, Collaboration, Cloud, Digital transformation, Analytics, Data Analytics, Machine Learning, AIM, Enterprise Applications, IOT, Workflow, Server, Software, Goals, HRIS, ROI, Quality Assurance, Healthcare, Machine Learning Models, Business Continuity, Object Storage, Encryption

More resources from Data Bricks