Kategoria BISAC: Computers >> Data Science - Data Warehousing

Extending SSIS with .NET Scripting is a timeless and comprehensive scripting toolkit for SQL Server Integration Services to solve a wide array of everyday problems that SSIS developers encounter. The detailed explanation of the Script Task and Script Component foundations helps you develop your own scripting solutions, but this book also shows a broad arsenal of readymade and well-documented scripting solutions for common problems. All examples are in both C# and VB.NET, and work for all current versions of SSIS.

SSIS is one of the leading ETL, Data Consolidation,...

If you're an IT professional looking to broaden your knowledge of database administration, this practical book takes you through each component of site reliability and operations within the context of database engines. IT staffers with minimal database operations experience can use this knowledge as a foundation of the architecture and operations within a specific database.

This book uses open-source engines such as MySQL, PostgreSQL, MongoDB, and Cassandra as examples throughout.

This Oracle Press guide provides best practices for migrating between different operating systems and platforms, transforming existing databases to use different storage or enterprise systems, and upgrading databases from one release to the next. Based on the expert authors' real-world experience, Oracle Database Upgrade, Migration & Transformation Tips & Techniques will help you choose the best migration path for your project and develop an effective methodology. Code examples and detailed checklists are...

Master Oracle Fusion General Ledger and Fusion Financials Accounting Hub

Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but little discussed topic.

Author Alice Zheng explains common practices and mathematical principles to help engineer features for new data and tasks. If you understand basic machine learning concepts like supervised and unsupervised learning, you're ready...