Beginning Dax Power Sql by Seamark Philip (23 results)

Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: Very Good. In very good condition. No ownership marks/writing present within. Hinges tight, pages bright. Light edge wear/bumping to the covers. We wrap every order in thick cardboard for added protection during transit (hence the slightly higher shipping charge).

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Condition: New.

Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Paperback or Softback. Condition: New. Beginning Dax with Power Bi: The SQL Pro's Guide to Better Business Intelligence. Book.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. New Copy. Customer Service Guaranteed.

Condition: New.

Condition: New. 2018. 1st ed. Paperback. . . . . .

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: Brand New. 264 pages. 9.75x6.75x0.75 inches. In Stock.

Condition: New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

Condition: New. In English.

Condition: New. 1st ed. edition NO-PA16APR2015-KAP.

Condition: New.

Taschenbuch. Condition: Neu. Beginning DAX with Power BI | The SQL Pro's Guide to Better Business Intelligence | Philip Seamark | Taschenbuch | xvii | Englisch | 2018 | Apress | EAN 9781484234761 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario. What You'll Learn Turbocharge your Power BI model by adding advanced DAX programming techniquesKnow when to use calculated measures versus calculated columnsGenerate new tables on the fly from existing dataOptimize, monitor, and tune Power BI to improve performance of your modelsDiscover new ideas, tricks, and time-saving techniques for better models Who This Book Is For Business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios.…

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