Sql Server 2012 Data Integration Recipes
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SQL Server 2012 Data Integration Recipes
SQL Server 2012 Data Integration Recipes provides focused and practical solutions to real world problems of data integration. Need to import data into SQL Server from an outside source? Need to export data and send it to another system? SQL Server 2012 Data Integration Recipes has your back. You'll find solutions for importing from Microsoft Office data stores such as Excel and Access, from text files such as CSV files, from XML, from other database brands such as Oracle and MySQL, and even from other SQL Server databases. You'll learn techniques for managing metadata, transforming data to meet the needs of the target system, handling exceptions and errors, and much more. What DBA or developer isn't faced with the need to move data back and forth? Author Adam Aspin brings 10 years of extensive ETL experience involving SQL Server, and especially satellite products such as Data Transformation Services and SQL Server Integration Services. Extensive coverage is given to Integration Services, Microsoft's flagship tool for data integration in SQL Server environments. Coverage is also given to the broader range of tools such as OPENDATASOURCE, linked servers, OPENROWSET, Migration Assistant for Access, BCP Import, and BULK INSERT just to name a few. If you're looking for a resource to cover data integration and ETL across the gamut of Microsoft's SQL Server toolset, SQL Server 2012 Data Integration Recipes is the one book that will meet your needs. Provides practical and proven solutions towards creating resilient ETL environments Clearly answers the tough questions which professionals ask Goes beyond the tools to a thorough discussion of the underlying techniques Covers the gamut of data integration, beyond just SSIS Includes example databases and files to allow readers to test the recipes
Querying SQL Server
Learning real-world analytics using SQL KEY FEATURES ● Hands-on approach to learning the fundamentals of data analysis ● Covers all levels of SQL expertise from novice to master with examples ● Includes techniques and approaches to query complex databases more effectively DESCRIPTION This book will take you on an interactive journey to master SQL querying from the most fundamental to the most advanced level using various T-SQL techniques to provide meaningful insights from your SQL Server data. The book begins with an introduction to the fundamental concepts of both SQL and SQL Server. It then guides readers through the process of building queries, using simple and then more complex table joins and progressively more advanced data filtering, to deliver advanced queries based on a variety of SQL techniques. The reader will understand how to deliver relevant and trustworthy analysis of the data through learning how to apply fundamental computations in T-SQL, relational logic, and how to group and aggregate data. There is also coverage of other SQL concepts, such as formatting queries, writing subqueries, creating derived tables, joining and filtering tables, etc. In addition to that, the book discusses how to conduct rolling analyses, examine time-series data, and manage large and complex datasets. After finishing the book, readers won't merely be able to write complex queries; rather, they will be able to construct their methodology for analysing relational datasets and arriving at the desired insights. WHAT YOU WILL LEARN ● Analyze data using simple math and logic, multiple filters, and data aggregation. ● Become proficient with table expressions, subqueries, and writing complex computations. ● Perform rolling analysis and time series analysis using advanced methods. ● Review SQL concepts such as table joins, data filtering, query structuring, and table derivation. WHO THIS BOOK IS FOR This book is for data professionals, such as database developers, SQL developers, data analysts, and BI experts, who wish to construct complex queries and extract the desired analytics from their datasets. The book also encourages smart new learners to learn SQL and use it right away in their first jobs. TABLE OF CONTENTS 1. Writing Basic SQL Queries 2. Using Multiple Tables When Querying Data 3. Using Advanced Table Joins 4. Filtering Data 5. Applying Complex Filters to Queries 6. Making Simple Calculations 7. Aggregating Output 8. Working with Dates in SQL Server 9. Formatting Text in Query Output 10. Formatting Numbers and Dates 11. Using Basic Logic to Enhance Analysis 12. Subqueries 13. Derived Tables 14. Common Table Expressions 15. Correlated Subqueries 16. Dataset Manipulation 17. Using SQL for More Advanced Calculations 18. Segmenting and Classifying Data 19. Rolling Analysis 20. Analyzing Data Over Time 21. Complex Data Output
Business Intelligence with SQL Server Reporting Services
Business Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache. Harness the power of the Reporting Services toolkit to combine charts, gauges, sparklines, indicators, and maps into compelling dashboards and scorecards. Create compelling visualizations that seize your audience’s attention and help business users identify and react swiftly to changing business conditions. Best of all, you'll do all these things by creating new value from software that is already installed and paid for – SQL Server and the included SQL Server Reporting Services. Businesses run on numbers, and good business intelligence systems make the critical numbers immediately and conveniently accessible. Business users want access to key performance indicators in the office, at the beach, and while riding the subway home after a day's work. Business Intelligence with SQL Server Reporting Services helps you meet these need for anywhere/anytime access by including chapters specifically showing how to deliver on modern devices such as smart phones and tablets. You'll learn to deliver the same information, with similar look-and-feel, across the entire range of devices used in business today. Key performance indicators give fast notification of business unit performance Polished dashboards deliver essential metrics and strategic comparisons Visually arresting output on multiple devices focuses attention