Sql Server Integration Services Essentials


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SQL Server Integration Services Essentials


SQL Server Integration Services Essentials

Author: Richard Johnson

language: en

Publisher: HiTeX Press

Release Date: 2025-05-31


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"SQL Server Integration Services Essentials" "SQL Server Integration Services Essentials" is a definitive guide for anyone looking to master the art of data integration and ETL (Extract, Transform, Load) using Microsoft’s powerful SSIS platform. This comprehensive book leads readers through foundational SSIS concepts, advanced architectural insight, and best practices for designing, executing, and managing enterprise-level data movement solutions. Whether you are architecting from scratch or seeking to optimize and modernize existing projects, the detailed treatment of package execution, deployment models, and lifecycle management provides clear pathways to professional-grade SSIS implementation. Exploring both the breadth and depth of SSIS development, the book’s structured approach covers everything from orchestrating complex control and data flows to integrating with a vast array of data sources—relational and NoSQL databases, flat files, cloud platforms, and RESTful APIs. Readers will discover advanced transformation techniques, robust event and error handling, and strategies for designing auditable, high-performance pipelines. Dedicated chapters address version control, CI/CD automation, and DevOps practices, ensuring that SSIS solutions are scalable, maintainable, and secure in dynamic enterprise environments. With in-depth guidance on extensibility, distributed and hybrid deployments, and migration to cloud-native architectures, "SQL Server Integration Services Essentials" empowers both beginners and experienced data engineers to meet evolving organizational requirements. Real-world case studies, future-proofing strategies, and coverage of emerging trends round out this essential resource, making it an indispensable reference for unlocking the full potential of SSIS in modern data engineering and analytics landscapes.

Microsoft SQL Server 2012 T-SQL Fundamentals


Microsoft SQL Server 2012 T-SQL Fundamentals

Author: Itzik Ben-Gan

language: en

Publisher: Pearson Education

Release Date: 2012-04-15


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Apply powerful window functions in T-SQL—and increase the performance and speed of your queries Optimize your queries—and obtain simple and elegant solutions to a variety of problems—using window functions in Transact-SQL. Led by T-SQL expert Itzik Ben-Gan, you’ll learn how to apply calculations against sets of rows in a flexible, clear, and efficient manner. Ideal whether you’re a database administrator or developer, this practical guide demonstrates ways to use more than a dozen T-SQL querying solutions to address common business tasks. Discover how to: Go beyond traditional query approaches to express set calculations more efficiently Delve into ordered set functions such as rank, distribution, and offset Implement hypothetical set and inverse distribution functions in standard SQL Use strategies for improving sequencing, paging, filtering, and pivoting Increase query speed using partitioning, ordering, and coverage indexing Apply new optimization iterators such as Window Spool Handle common issues such as running totals, intervals, medians, and gaps

Exam Ref DP-900 Microsoft Azure Data Fundamentals


Exam Ref DP-900 Microsoft Azure Data Fundamentals

Author: Daniel A. Seara

language: en

Publisher: Microsoft Press

Release Date: 2021-03-12


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Prepare for Microsoft Exam DP-900 Demonstrate your real-world foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level. Focus on the expertise measured by these objectives: Describe core data concepts Describe how to work with relational data on Azure Describe how to work with non-relational data on Azure Describe an analytics workload on Azure This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have foundational knowledge of core data concepts and their implementation with Microsoft Azure data services, and are beginning to work with data in the cloud About the Exam Exam DP-900 focuses on core knowledge for describing fundamental database concepts and skills for cloud environments; cloud data services within Azure; cloud data roles, tasks, and responsibilities; Azure relational and non-relational data offerings, provisioning, and deployment; querying Azure relational databases; working with Azure non-relational data stores; building modern Azure data analytics solutions; and exploring Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of the core capabilities of Azure data services and their use with relational data, non-relational data, and analytics workloads. See full details at: www.microsoft.com/learn