Data Lakes & Pipelines: A Modern Azure Guide (eBook, ePUB)
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Unlock the full potential of your data with Data Lakes & Pipelines: A Modern Azure Guide. This comprehensive book is your essential companion for mastering the design and implementation of scalable data architectures on Microsoft Azure.Aimed at data engineers, architects, and cloud professionals, this guide covers the end-to-end process of building cloud-native data solutionsfrom ingesting raw data into data lakes to orchestrating robust, automated pipelines for real-time and batch processing. You'll explore key Azure services including Azure Data Factory, Azure Synapse Analytics, Data Lake St...
Unlock the full potential of your data with Data Lakes & Pipelines: A Modern Azure Guide. This comprehensive book is your essential companion for mastering the design and implementation of scalable data architectures on Microsoft Azure.
Aimed at data engineers, architects, and cloud professionals, this guide covers the end-to-end process of building cloud-native data solutionsfrom ingesting raw data into data lakes to orchestrating robust, automated pipelines for real-time and batch processing. You'll explore key Azure services including Azure Data Factory, Azure Synapse Analytics, Data Lake Storage Gen2, and more, gaining hands-on knowledge and architectural insights.
Through detailed explanations, best practices, and real-world case studies, this book equips you to:
Architect cloud-native data lakes and pipelines
Design efficient ETL and ELT workflows
Integrate structured and unstructured data at scale
Optimize data transformation and orchestration with Azure Data Factory
Ensure data governance, security, and compliance
Leverage Azure Synapse for analytics and BI integration
Whether you're modernizing legacy systems or designing a greenfield data platform, Data Lakes & Pipelines delivers the practical tools and strategic vision needed to thrive in the cloud era of data engineering.
Aimed at data engineers, architects, and cloud professionals, this guide covers the end-to-end process of building cloud-native data solutionsfrom ingesting raw data into data lakes to orchestrating robust, automated pipelines for real-time and batch processing. You'll explore key Azure services including Azure Data Factory, Azure Synapse Analytics, Data Lake Storage Gen2, and more, gaining hands-on knowledge and architectural insights.
Through detailed explanations, best practices, and real-world case studies, this book equips you to:
Architect cloud-native data lakes and pipelines
Design efficient ETL and ELT workflows
Integrate structured and unstructured data at scale
Optimize data transformation and orchestration with Azure Data Factory
Ensure data governance, security, and compliance
Leverage Azure Synapse for analytics and BI integration
Whether you're modernizing legacy systems or designing a greenfield data platform, Data Lakes & Pipelines delivers the practical tools and strategic vision needed to thrive in the cloud era of data engineering.
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