Condition: New.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by Gtech Publishing 4/6/2022, 2022
ISBN 10: 1915476003 ISBN 13: 9781915476005
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Hardback or Cased Book. Condition: New. Mastering Access 365: An Easy Guide to Building Efficient Databases for Managing Your Data. Book.
Condition: As New. Unread book in perfect condition.
Hardback. Condition: New.
Hardback. Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 34.17
Quantity: Over 20 available
Add to basketCondition: New. In.
Condition: New.
Condition: As New. Unread book in perfect condition.
Hardback. Condition: New.
Hardback. Condition: New.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
£ 33.96
Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Print on Demand.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 32.96
Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 178.
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnNathan George is a data scientist at Tink in Stockholm, Sweden, and taught data science as a professor at Regis University in Denver, CO for over 4 years. Nathan has created online courses on Pythonic data science and uses.
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Mastering Access 365 | An Easy Guide to Building Efficient Databases for Managing Your Data | Nathan George | Buch | Gebunden | Englisch | 2022 | GTech Publishing | EAN 9781915476005 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Database creation and management made easyWhether you're new to Access or looking to refresh your skills on this popular desktop database application, you'll find everything you need to create efficient and robust database solutions for your data in this book.Even if you have no formal database training, don't worry. This book starts from the basics and shows you how to structure your data for a relational database management system.Clear, concise, and straightforwardThis book offers clear and straightforward explanations on creating tables and relationships, building user-friendly forms, importing data from external sources, writing queries to answer questions, and presenting information with reports.Practical examples for hands-on learningMastering Access 365 is a practical guide, using examples from a case study to demonstrate each aspect of Access. Screenshots illustrate the concepts, features, and tasks being discussed.The best way to learn is through practice, so downloadable sample files have been provided to enable you to follow the examples in the book hands-on.Revised and updated!This book covers Access 2024 and the latest version of Access for Microsoft 365 (2025 update).Learn how to:Plan your database, including how to capture and refine your data requirements.Structure your data design for efficient data storage.Create Access tables and define table relationships.Quickly generate feature-rich, user-friendly forms to simplify data entry.Write queries to answer questions and perform data updates.Build quick and powerful reports to present and analyze your data.Perform different data transformation tasks to clean up or organize your data.Import and export data to/from external sources like Excel, text files, and SQL Server.Split your database into front-end and back-end files in a multi-user environment.