Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehous

Description: Data Modeling with Microsoft Power BI by Markus Enhrenmueller-Jensen Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Data modeling is the single most overlooked feature in Power BI Desktop, yet its what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. Publisher Description Data modeling is the single most overlooked feature in Power BI Desktop, yet its what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BIs semantic model with hands-on examples in DAX, Power Query, and T-SQL. If youre looking to build a data warehouse layer, chapters with T-SQL examples will get you started. Youll begin with simple steps and gradually solve more complex problems.This book shows you how to:Normalize and denormalize with DAX, Power Query, and T-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL Author Biography Markus Ehrenmueller-Jensen is the founder of Savory Data and has worked as a project leader, trainer & consultant for data engineering, business intelligence, and data science since 1994. He is an educated software engineer, graduated business educator, and professor for databases and project engineering at HTL Leonding (technical college) and certified in MCSE Data Platform, MCSE Business Intelligence, and MCT. Markus speaks regularly at international conferences (eg. PASS Summit, SQLBits, SQL Saturdays, SQL Days, Power BI World Tour, ...) and writes articles for well-known journals. He is the author of Self-Service AI in Power BI Desktop (Apress, 2020) and co-author of Power BI MVP Book (Amazon, 2019). In 2013 he co-founded Data Community Austria (formerly known as SQL PASS Austria and Power BI Usergroup Austria) and has organized Data Saturdays in Austria since 2014. For his technical leadership in the community, he was awarded as a Microsoft Data Platform MVP in 2017. Details ISBN 109814855X ISBN-13 9781098148553 Title Data Modeling with Microsoft Power BI Author Markus Enhrenmueller-Jensen Format Paperback Year 2024 Pages 750 Publisher OReilly Media GE_Item_ID:160826420; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-11-23T04:03:15.000Z

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