Products related to Query:
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Fuzzy Data Matching with SQL : Enhancing Data Quality and Query Performance
If you were handed two different but related sets of data, what tools would you use to find the matches?What if all you had was SQL SELECT access to a database?In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data. Full of real-world techniques, the examples in the book contain working code.You'll learn how to:Identity and remove duplicates in two different datasets using SQLRegularize data and achieve data quality using SQLExtract data from XML and JSONGenerate SQL using SQL to increase your productivityPrepare datasets for import, merging, and better analysis using SQLReport results using SQLApply data quality and ETL approaches to finding similarities and differences between various expressions of the same data
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What is the nature of your query Willis? classic fit.
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What is the nature of your query Willis? male t-shirt.
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Microsoft Excel Pivot Table Data Crunching Including Dynamic Arrays, Power Query, and Copilot
Learn to use pivot tables and pivot charts in Microsoft Excel to produce powerful, dynamic reports in minutes: take control of your data and your business!Even if you’ve never created a pivot table before, this book will help you leverage their flexibility and analytical power—and includes exploration of new array functions and Copilot capabilities in analysis creation.Drawing on more than 30 years of cutting-edge Excel experience, MVP Bill Jelen (“MrExcel”) shares practical “recipes” for solving real business problems, expert insights for avoiding mistakes, and advanced tips and tricks you’ll find nowhere else. By reading this book, you will: Master easy, powerful ways to create, customize, change, and control pivot tablesUse Copilot and Analyze Data features to create pivot tablesTransform huge datasets into clear summary reportsInstantly highlight your most profitable customers, products, or regionsPivot data with powerful dynamic arrays and Power QueryUse PIVOTBY and GROUPBY functions to create reports without needing to refreshBuild geographical pivot tables with 3D MapsConstruct and share state-of-the-art dynamic dashboardsRevamp analyses on the fly by dragging and dropping fi eldsBuild dynamic self-service reporting systemsShare your pivot tables with colleaguesCreate data mashups using the full Power Pivot capabilities in modern Excel versionsGenerate pivot tables using either VBA on the Desktop or Typescript in Excel Online or on the DesktopEmbrace GetPivotData for better looking reports and learn how to prevent it for quick reportingUnpivot source data so it’s easier to use About This Book For everyone who wants to get more done with Microsoft Excel in less timeFor business and financial professionals, entrepreneurs, students, and others who need to efficiently manage and analyze data
Price: 32.99 £ | Shipping*: 0.00 £
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What is the difference between an s-query and a search query?
An s-query is a type of query used in information retrieval systems that focuses on finding similar documents or items based on a specific input. It is used to retrieve items that are semantically related to the input. On the other hand, a search query is a more general term used to describe any query input into a search engine to retrieve relevant information. While an s-query is more specific and aims to find similar items, a search query can be used for a variety of purposes beyond just finding similar items.
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How do I create a daily query within a weekly query in Excel?
To create a daily query within a weekly query in Excel, you can use Power Query to filter the data based on the date range you want to analyze. First, load your data into Power Query and create a new column to extract the day of the week from the date column. Then, filter the data based on the day of the week you want to focus on (e.g., Monday for weekly data). Finally, you can further filter the data based on the specific day within that week that you are interested in analyzing. This way, you can create a daily query within a weekly query in Excel.
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What is SQL query 2?
SQL query 2 is a structured query language statement used to retrieve data from a database. It typically includes keywords such as SELECT, FROM, WHERE, and ORDER BY to specify the data to be retrieved, the table from which to retrieve it, any conditions that must be met, and the order in which the data should be presented. SQL query 2 can be customized to filter, sort, and manipulate data according to specific requirements.
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What is the second query?
The second query is a request for information or data made to a database or search engine. It typically follows the first query and is used to further refine or specify the search criteria. The second query helps to narrow down the results and retrieve more relevant information based on the initial search. It is an important step in the search process to find the most accurate and useful results.
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Collect, Combine, and Transform Data Using Power Query in Power BI and Excel
Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface.Whether you’re using Power BI, Excel, or other Microsoft products, Power Query’s capabilities are at your fingertips.Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls.In this updated edition, you’ll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project.By the end, you’ll possess the expertise to handle any data and convert it into actionable insights. You will learn how to: Effortlessly prepare data by utilizing Power Query in Power BI and Excel to transform your data quickly and efficientlyOvercome common data preparation problems with intuitive mouse clicks and straightforward formula editsCombine data from various sources, multiple queries, and mismatched tables with easeReshape tables to suit your analysis needsUse the Power Query M formula language to create flexible data mashups and tailor transformations to your requirementsAddress and overcome collaboration challenges by using Power Query’s powerful featuresGain crucial insights from text feeds by enhancing your data analysis capabilitiesProfile data, diagnose queries, improve query performance, and more!About This Book For everyone who wants to get more done with Power Query in less timeFor business and financial professionals, developers, entrepreneurs, students, and others who need to efficiently manage and analyze data
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The Definitive Guide to KQL : Using Kusto Query Language for operations, defending, and threat hunting
Turn the avalanche of raw data from Azure Data Explorer, Azure Monitor, Microsoft Sentinel, and other Microsoft data platforms into actionable intelligence with KQL (Kusto Query Language).Experts in information security and analysis guide you through what it takes to automate your approach to risk assessment and remediation, speeding up detection time while reducing manual work using KQL.This accessible and practical guide—designed for a broad range of people with varying experience in KQL—will quickly make KQL second nature for information security. Solve real problems with Kusto Query Language— and build your competitive advantage: Learn the fundamentals of KQL—what it is and where it is usedExamine the anatomy of a KQL queryUnderstand why data summation and aggregation is importantSee examples of data summation, including count, countif, and dcountLearn the benefits of moving from raw data ingestion to a more automated approach for security operationsUnlock how to write efficient and effective queriesWork with advanced KQL operators, advanced data strings, and multivalued stringsExplore KQL for day-to-day admin tasks, performance, and troubleshootingUse KQL across Azure, including app services and function appsDelve into defending and threat hunting using KQLRecognize indicators of compromise and anomaly detectionLearn to access and contribute to hunting queries via GitHub and workbooks via Microsoft Entra ID
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Modern Data Analytics in Excel : Using Power Query, Power Pivot and More for Enhanced Data Analytics
If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think.This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features.You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot.You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel.This book shows you how to:Build repeatable data cleaning processes for Excel with Power QueryCreate relational data models and analysis measures with Power PivotPull data quickly with dynamic arraysUse AI to uncover patterns and trends from inside ExcelIntegrate Python functionality with Excel for automated analysis and reporting
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Sport, Performance and Sustainability
This book examines the logic of ‘faster, higher, and stronger’ and the technoscientific revolution that has driven tremendous growth in the sports economy and in sport performance over the last 100 years.It asks whether this logic needs revisiting in the light of the climate crisis and sport’s environmental responsibilities. Drawing on multi-disciplinary work in sport history, sport pedagogy, sport philosophy, sport science, and environmental history, the book considers not only how sportification may have contributed to the growing environmental impact of sport but also whether it might be used as a tool of positive social change.It reflects on the ways that sport sets performance limits for other ethical reasons, such as doping controls, and asks whether sport could or should set limits for environmental reasons too.Sport, Performance and Sustainability touches on key themes in sport studies, including digitisation, activism, social media, empowerment, youth sport, and physical education. This is fascinating reading for anybody with an interest in sport, the environment, development, sociology, or culture. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution 4.0 license.
Price: 135.00 £ | Shipping*: 0.00 £
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What is a web query?
A web query is a request for information made by a user to a search engine or database through a web browser. It typically consists of keywords or phrases that the user wants to search for, and the search engine then retrieves relevant results based on those terms. Web queries are used to find specific information, websites, or resources on the internet.
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What is a WHOIS query?
A WHOIS query is a request for information about a domain name, including details about the domain's registration, ownership, and contact information. It is used to look up information about a particular domain name, such as when it was registered, who the owner is, and how to contact them. WHOIS queries are commonly used by individuals and organizations to gather information about domain names for various purposes, such as investigating potential trademark infringement, identifying the owner of a website, or resolving technical issues related to domain registration.
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How can I open an Access database as a Microsoft Query query in Excel?
To open an Access database as a Microsoft Query query in Excel, you can follow these steps: 1. In Excel, go to the Data tab and select "Get Data" > "From Database" > "From Microsoft Access Database." 2. Browse to the location of your Access database and select it. Then, choose the specific table or query you want to import into Excel. 3. Excel will then open the Microsoft Query window, where you can further customize the data import by adding criteria, sorting, or joining tables. 4. Once you have configured the query to your liking, click "OK" to import the data into Excel. You can then refresh the data in Excel whenever the Access database is updated.
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What is the SQL SELECT query?
The SQL SELECT query is used to retrieve data from a database. It allows you to specify which columns you want to retrieve and which rows you want to filter based on certain conditions using the WHERE clause. The SELECT query is one of the most commonly used SQL commands and is essential for querying and retrieving information from a database.
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