Preface
Data is the new oil and probably the most valuable resource. Data engineering covers how one can gain insights out of data. This book will introduce the key processes in data engineering (ingesting, storing, processing, and consuming) and share a few common recipes that can help us develop data engineering pipelines to gain insights into our data.
The book follows the logical data engineering process by beginning with Azure Data Lake and covering data ingestion using Azure Data Factory into Azure Data Lake and Azure SQL Database in the first few chapters. In these chapters, the book also covers the management of common storage layers such as Azure Data Lake and Azure SQL Database, focusing on topics such as security, high availability, ...
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