Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSON Purchase of the print or Kindle book includes a free PDF eBook Key Features Examine query design and performance using query plans and indexes Solve business problems using advanced techniques such as common table expressions and window functions Use SQL in modern data platform solutions with JSON and Jupyter notebooks Book Description SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you. This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You'll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you'll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey. By the end of this SQL book, you'll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience. What you will learn Build efficient queries by reducing the data being returned Manipulate your data and format it for easier consumption Form common table expressions and window functions to solve complex business issues Understand the impact of SQL security on your results Understand and use query plans to optimize your queries Understand the impact of indexes on your query performance and design Work with data lake data and JSON in SQL queries Organize your queries using Jupyter notebooks Who this book is for This book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries. For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.

Database management. --- Client/server computing. --- SQL (Computer program language) --- SQL server.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

AA / International- internationaal --- #SBIB:316.334.2A419 --- #SBIB:327.7H33 --- 334.81 --- 332.9 --- Arbeidssociologie: Europees en wereldsyndicalisme --- Internationale niet-gouvernementele organisaties (bv. Amnesty International) --- Wereldhandelsorganisatie (WHO). Algemene overeenkomst voor handel en tarieven (GATT). --- Internationale organisatie, reglementering en wetgeving van de arbeid. --- International Labour Organization. --- Internationale organisatie, reglementering en wetgeving van de arbeid --- Wereldhandelsorganisatie (WHO). Algemene overeenkomst voor handel en tarieven (GATT) --- ILO (International Labour Organization) --- Organisation internationale du travail --- OIT (International Labour Organization) --- Organización Internacional del Trabajo --- Olon Ulsyn Khȯdȯlmȯriĭn Tovchoo --- Olon Ulsyn Khȯdȯlmȯriĭn Baĭguullaga --- OUKhB --- Shirika la Kazi Duniani --- Samnakngān Rǣngngān rawāng Prathēt --- International Labor Organization --- United Nations. --- ʻOngkān Rǣngngān rawāng Prathēt --- International Labour Organisation --- International Labour Office

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A practical cookbook packed with recipes to help developers produce data cubes as quickly as possible by following step by step instructions, rather than explaining data mining concepts with SSAS.If you are a BI or ETL developer using SQL Server Analysis services to build OLAP cubes, this book is ideal for you. Prior knowledge of relational databases and experience with Excel as well as SQL development is required.

Client/server computing. --- Computer networks -- Security measures. --- SQL server. --- Web servers. --- Engineering & Applied Sciences --- Computer Science --- Microsoft SQL server --- Business intelligence --- Data mining --- Database management --- MDX (Computer program language) --- Multi Dimensional eXpressions (Computer program language) --- Query languages (Computer science) --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Business espionage --- Competitive intelligence --- Corporate intelligence --- Economic espionage --- Espionage, Business --- Espionage, Economic --- Espionage, Industrial --- Industrial espionage --- Intelligence, Business --- Intelligence, Corporate --- Business ethics --- Competition, Unfair --- Industrial management --- Confidential business information --- E-books