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Written by a team of well-known PostgreSQL experts, this new edition will cover all the latest updates of PostgreSQL 16 including 12+ new and improved recipes on logging, …
Data Engineers guide to solve real-world problems encountered while building and transforming data pipelines using Azure's data integration tool Key Features Solve real-world data …
Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructions Key Features Explore Microsoft Fabric and its …
Discover how Snowflake's unique objects and features can be used to leverage universal modeling techniques through real-world examples and SQL recipes Purchase of the print or …
Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowpark using Python Key Features Get to grips with Snowpark’s basic and …
Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to hands-on building of data engineering pipelines, our expert-led manual …
Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices.Key FeaturesFocus on the basics of data wranglingStudy various ways to extract the …
Explore the latest Azure ETL techniques both on-premises and in the cloud using Azure services such as SQL Server Integration Services (SSIS), Azure Data Factory, and Azure …
Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineeringKey FeaturesDiscover how analytics engineering …
Leverage BigQuery to understand and prepare your data to ensure that it's accurate, reliable, and ready for analysis and modeling Key Features Use mock datasets to explore data …