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MDX with Microsoft SQL server 2008 R2 analysis services [[electronic resource] ] : cookbook : 80 recipes for enriching your business intelligence solutions with high-performance MDX calculations and flexible MDX queries / / Tomislav Piasevoli
| MDX with Microsoft SQL server 2008 R2 analysis services [[electronic resource] ] : cookbook : 80 recipes for enriching your business intelligence solutions with high-performance MDX calculations and flexible MDX queries / / Tomislav Piasevoli |
| Autore | Piasevoli Tomislav |
| Pubbl/distr/stampa | Birmingham, : Packt Pub., 2011 |
| Descrizione fisica | 1 online resource (480 p.) |
| Disciplina |
005.13/3
005.7585 |
| Collana | Quick answers to common problems |
| Soggetto topico |
MDX (Computer program language)
Business intelligence |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-30832-0
9786613308320 1-84968-131-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Elementary MDX Techniques; Introduction; Skipping axis; Handling division by zero errors; Setting special format for negative, zero and null values; Applying conditional formatting on calculations; Setting default member of a hierarchy in MDX script; Implementing NOT IN set logic; Implementing logical OR on members from different hierarchies; Iterating on a set in order to reduce it; Iterating on a set in order to create a new one; Iterating on a set using recursion
Dissecting and debugging MDX queriesUsing NON_EMPTY_BEHAVIOR; Optimizing MDX queries using the NonEmpty() function; Implementing logical AND on members from the same hierarchy; Chapter 2:Working with Time; Introduction; Calculating the YTD (Year-To-Date) value; Calculating the YoY (Year-over-Year) growth (parallel periods); Calculating moving averages; Finding the last date with data; Getting values on the last date with data; Hiding calculation values on future dates; Calculating today's date using the string functions; Calculating today's date using the MemberValue function Calculating today's date using an attribute hierarchyCalculating the difference between two dates; Calculating the difference between two times; Calculating parallel periods for multiple dates in a set; Calculating parallel periods for multiple dates in slicer; Chapter 3:Concise Reporting; Introduction; Isolating the best N members in a set; Isolating the worst N members in a set; Identifying the best/worst members for each member of another hierarchy; Displaying few important members, others as a single row, and the total at the end; Combining two hierarchies into one Finding the name of a child with the best/worst valueHighlighting siblings with the best/worst worst value; Implementing bubble-up exceptions; Chapter 4:Navigation; Introduction; Detecting a particular member in a hierarchy; Detecting the root member; Detecting members on the same branch; Finding related members in the same dimension; Finding related members in another dimension; Calculating various percentages; Calculating various averages; Calculating various ranks; Chapter 5:Business Analytics; Introduction; Forecasting using the linear regression; Forecasting using the periodic cycles Allocating the non-allocated company expenses to departmentsCalculating the number of days from the last sales to identify the slow-moving goods; Analyzing fluctuation of customers; Implementing the ABC analysis; Chapter 6:When MDX is Not Enough; Introduction; Using a new attribute to separate members on a level; Using a distinct count measure to implement histograms over existinghierarchies; Using a dummy dimension to implement histograms over non-existing hierarchies; Creating a physical measure as a placeholder for MDX assignments; Using a new dimension to calculate the most frequent price Using a utility dimension to implement flexible display units |
| Record Nr. | UNINA-9910456702303321 |
Piasevoli Tomislav
|
||
| Birmingham, : Packt Pub., 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MDX with Microsoft SQL Server 2016 Analysis Services cookbook : over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes / / Tomislav Piasevoli, Sherry Li
| MDX with Microsoft SQL Server 2016 Analysis Services cookbook : over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes / / Tomislav Piasevoli, Sherry Li |
| Autore | Piasevoli Tomislav |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Birmingham, England ; ; Mumbai, [India] : , : Packt Publishing, , 2016 |
| Descrizione fisica | 1 online resource (582 pages) |
| Disciplina | 005.133 |
| Soggetto topico |
MDX (Computer program language)
Client/server computing |
| ISBN | 1-78646-788-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910155042303321 |
|
Piasevoli Tomislav
|
||
| Birmingham, England ; ; Mumbai, [India] : , : Packt Publishing, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MDX with SSAS 2012 cookbook / / Sherry Li, Tomislav Piasevoli
| MDX with SSAS 2012 cookbook / / Sherry Li, Tomislav Piasevoli |
| Autore | Li Sherry |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , [2013] |
| Descrizione fisica | 1 online resource (420 p.) |
| Disciplina | 005.7585 |
| Altri autori (Persone) | PiasevoliTomislav |
| Soggetto topico |
MDX (Computer program language)
Client/server computing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-84968-961-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Elementary MDX Techniques; Introduction; Putting data on x and y axes; Skipping axes; Using a WHERE clause to filter the data returned; Optimizing MDX queries using the NonEmpty() function; Using the PROPERTIES() function to retrieve data from attribute relationships; Basic sorting and ranking; Handling division by zero errors; Setting a default member of a hierarchy in MDX script; Chapter 2: Working with Sets; Introduction; Implementing NOT IN set logic
Implementing logical OR on members from different hierarchiesImplementing logical AND on members from the same hierarchy; Iterating on a set in order to reduce it; Iterating on a set in order to create a new one; Iterating on a set using recursion; Dissecting and debugging MDX queries; Chapter 3: Working with Time; Introduction; Calculating the YTD (Year-To-Date) value; Calculating the YoY (Year-over-Year) growth (parallel periods); Calculating moving averages; Finding the last date with data; Getting values on the last date with data; Calculating today's date using the string functions Calculating today's date using the MemberValue functionCalculating today's date using an attribute hierarchy; Calculating the difference between two dates; Calculating the difference between two times; Calculating parallel periods for multiple dates in a set; Calculating parallel periods for multiple dates in a slicer; Chapter 4: Concise Reporting; Introduction; Isolating the best N members in a set; Isolating the worst N members in a set; Identifying the best/worst members for each member of another hierarchy; Displaying few important members, others as a single row, and the total at the end Combining two hierarchies into oneFinding the name of a child with the best/worst value; Highlighting siblings with the best/worst values; Implementing bubble-up exceptions; Chapter 5: Navigation; Introduction; Detecting a particular member in a hierarchy; Detecting the root member; Detecting members on the same branch; Finding related members in the same dimension; Finding related members in another dimension; Calculating various percentages; Calculating various averages; Calculating various ranks; Chapter 6: Business Analytics; Introduction; Forecasting using the linear regression Forecasting using the periodic cyclesAllocating the non-allocated company expenses to departments; Analyzing fluctuation of customers; Implementing the ABC analysis; Chapter 7: When MDX is Not Enough; Introduction; Using a new attribute to separate members on a level; Using a distinct count measure to implement histograms over existing hierarchies; Using a dummy dimension to implement histograms over non-existing hierarchies; Creating a physical measure as a placeholder for MDX assignments; Using a new dimension to calculate the most frequent price Using a utility dimension to implement flexible display units |
| Record Nr. | UNINA-9910452658103321 |
|
Li Sherry
|
||
| Birmingham : , : Packt Publishing, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MDX with SSAS 2012 cookbook / / Sherry Li, Tomislav Piasevoli
| MDX with SSAS 2012 cookbook / / Sherry Li, Tomislav Piasevoli |
| Autore | Li Sherry |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , [2013] |
| Descrizione fisica | 1 online resource (420 p.) |
| Disciplina | 005.7585 |
| Altri autori (Persone) | PiasevoliTomislav |
| Soggetto topico |
MDX (Computer program language)
Client/server computing |
| ISBN | 1-84968-961-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Elementary MDX Techniques; Introduction; Putting data on x and y axes; Skipping axes; Using a WHERE clause to filter the data returned; Optimizing MDX queries using the NonEmpty() function; Using the PROPERTIES() function to retrieve data from attribute relationships; Basic sorting and ranking; Handling division by zero errors; Setting a default member of a hierarchy in MDX script; Chapter 2: Working with Sets; Introduction; Implementing NOT IN set logic
Implementing logical OR on members from different hierarchiesImplementing logical AND on members from the same hierarchy; Iterating on a set in order to reduce it; Iterating on a set in order to create a new one; Iterating on a set using recursion; Dissecting and debugging MDX queries; Chapter 3: Working with Time; Introduction; Calculating the YTD (Year-To-Date) value; Calculating the YoY (Year-over-Year) growth (parallel periods); Calculating moving averages; Finding the last date with data; Getting values on the last date with data; Calculating today's date using the string functions Calculating today's date using the MemberValue functionCalculating today's date using an attribute hierarchy; Calculating the difference between two dates; Calculating the difference between two times; Calculating parallel periods for multiple dates in a set; Calculating parallel periods for multiple dates in a slicer; Chapter 4: Concise Reporting; Introduction; Isolating the best N members in a set; Isolating the worst N members in a set; Identifying the best/worst members for each member of another hierarchy; Displaying few important members, others as a single row, and the total at the end Combining two hierarchies into oneFinding the name of a child with the best/worst value; Highlighting siblings with the best/worst values; Implementing bubble-up exceptions; Chapter 5: Navigation; Introduction; Detecting a particular member in a hierarchy; Detecting the root member; Detecting members on the same branch; Finding related members in the same dimension; Finding related members in another dimension; Calculating various percentages; Calculating various averages; Calculating various ranks; Chapter 6: Business Analytics; Introduction; Forecasting using the linear regression Forecasting using the periodic cyclesAllocating the non-allocated company expenses to departments; Analyzing fluctuation of customers; Implementing the ABC analysis; Chapter 7: When MDX is Not Enough; Introduction; Using a new attribute to separate members on a level; Using a distinct count measure to implement histograms over existing hierarchies; Using a dummy dimension to implement histograms over non-existing hierarchies; Creating a physical measure as a placeholder for MDX assignments; Using a new dimension to calculate the most frequent price Using a utility dimension to implement flexible display units |
| Record Nr. | UNINA-9910790432103321 |
|
Li Sherry
|
||
| Birmingham : , : Packt Publishing, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
MDX with SSAS 2012 cookbook / / Sherry Li, Tomislav Piasevoli
| MDX with SSAS 2012 cookbook / / Sherry Li, Tomislav Piasevoli |
| Autore | Li Sherry |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , [2013] |
| Descrizione fisica | 1 online resource (420 p.) |
| Disciplina | 005.7585 |
| Altri autori (Persone) | PiasevoliTomislav |
| Soggetto topico |
MDX (Computer program language)
Client/server computing |
| ISBN | 1-84968-961-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Elementary MDX Techniques; Introduction; Putting data on x and y axes; Skipping axes; Using a WHERE clause to filter the data returned; Optimizing MDX queries using the NonEmpty() function; Using the PROPERTIES() function to retrieve data from attribute relationships; Basic sorting and ranking; Handling division by zero errors; Setting a default member of a hierarchy in MDX script; Chapter 2: Working with Sets; Introduction; Implementing NOT IN set logic
Implementing logical OR on members from different hierarchiesImplementing logical AND on members from the same hierarchy; Iterating on a set in order to reduce it; Iterating on a set in order to create a new one; Iterating on a set using recursion; Dissecting and debugging MDX queries; Chapter 3: Working with Time; Introduction; Calculating the YTD (Year-To-Date) value; Calculating the YoY (Year-over-Year) growth (parallel periods); Calculating moving averages; Finding the last date with data; Getting values on the last date with data; Calculating today's date using the string functions Calculating today's date using the MemberValue functionCalculating today's date using an attribute hierarchy; Calculating the difference between two dates; Calculating the difference between two times; Calculating parallel periods for multiple dates in a set; Calculating parallel periods for multiple dates in a slicer; Chapter 4: Concise Reporting; Introduction; Isolating the best N members in a set; Isolating the worst N members in a set; Identifying the best/worst members for each member of another hierarchy; Displaying few important members, others as a single row, and the total at the end Combining two hierarchies into oneFinding the name of a child with the best/worst value; Highlighting siblings with the best/worst values; Implementing bubble-up exceptions; Chapter 5: Navigation; Introduction; Detecting a particular member in a hierarchy; Detecting the root member; Detecting members on the same branch; Finding related members in the same dimension; Finding related members in another dimension; Calculating various percentages; Calculating various averages; Calculating various ranks; Chapter 6: Business Analytics; Introduction; Forecasting using the linear regression Forecasting using the periodic cyclesAllocating the non-allocated company expenses to departments; Analyzing fluctuation of customers; Implementing the ABC analysis; Chapter 7: When MDX is Not Enough; Introduction; Using a new attribute to separate members on a level; Using a distinct count measure to implement histograms over existing hierarchies; Using a dummy dimension to implement histograms over non-existing hierarchies; Creating a physical measure as a placeholder for MDX assignments; Using a new dimension to calculate the most frequent price Using a utility dimension to implement flexible display units |
| Record Nr. | UNINA-9910816781003321 |
|
Li Sherry
|
||
| Birmingham : , : Packt Publishing, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX [[electronic resource] /] / by Sivakumar Harinath ... [et al.]
| Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX [[electronic resource] /] / by Sivakumar Harinath ... [et al.] |
| Autore | Harinath Sivakumar <1971-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
| Descrizione fisica | 1 online resource (1180 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) | HarinathSivakumar <1971-> |
| Collana | Wrox programmer to programmer |
| Soggetto topico |
Database management
MDX (Computer program language) OLAP technology Relational databases Client/server computing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-65635-3
1-118-22343-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Professional Microsoft® Sql Server® 2012 Analysis Services with MDX and DAX; Contents; Introduction; Who This Book is For; What This Book Covers; How This Book is Structured; What you Need to USE This Book; Conventions; Source Code; Errata; P2P.Wrox.Com; Part I: Introduction; Chapter 1: Introduction; BISM Multidimensional Mode; A Closer Look at Data Warehousing; Key Elements of a Data Warehouse; Fact Tables; Dimension Tables; Dimensions; Cubes; The Star Schema; The Snowflake Schema; Inmon Versus Kimball?-?Different Approaches; Business Intelligence Is Data Analysis; BISM Tabular Mode
SQL Server Analysis Services 2012The Business Intelligence Semantic Model; Data Model; Query Language; Data Access Technology; Summary; Part II Designing Multidimensional BISM; Chapter 2: A First Look at Multidimensional BISM; Development, Administrative, and Client Tools; Upgrading to Analysis Services 2012; Using SQL Server Data Tools to Build Analysis Services Multidimensional Applications; Creating a Project Using SQL Server Data Tools; The Solution Explorer; The Properties Window; The Output Window; Creating an Analysis Services Database Using SQL Server Data Tools Creating a Data SourceCreating a Data Source View (DSV); Creating a Cube Using the Cube Wizard; Deploying and Browsing a Cube; Using SQL Server Management Studio; The Object Explorer Pane; Querying Using the MDX Query Editor; Summary; Chapter 3: Understanding MDX; What Is MDX?; MDX Concepts; Measures and Measure Groups; Hierarchies and Hierarchy Levels; Members; Cells; Tuples; Sets; MDX Queries; SELECT Statement and Axis Specification; FROM Clause and Cube Specification; Subselect Clauses; WHERE Clause and Slicer Specification; Slicer Dimension; WITH Clause, Named Sets, and Calculated Members Named SetsCalculated Members; Ranking and Sorting; MDX Expressions; MDX Operators; Arithmetic Operators; Set Operators; Comparison Operators; Logical Operators; Special MDX Operators?-?Curly Braces, Commas, and Colons; MDX Functions; MDX Function Categories; Set Functions; Crossjoin; NONEMPTYCROSSJOIN and NONEMPTY; Filter and Having; Member Functions; Numeric Functions; Dimension Functions, Level Functions, and Hierarchy Functions; String Manipulation Functions; Other Functions; MDX Scripts; MDX Script Execution; CALCULATE Statement; Cube Space; AUTO EXISTS; Cell Calculations and Assignments RecursionFreeze Statement; Restricting Cube Space/Slicing Cube Data; SCOPE Statement; CREATE and DROP SUBCUBE; Using EXISTS; Using EXISTING; Using SUBSELECT; Parameterized MDX Queries; MDX Comments; Summary; Chapter 4: Data Sources and Data Source Views; Data Sources; Data Sources Supported by Analysis Services; .NET Versus OLE DB Data Providers; .NET Framework Data Providers; OLE DB Data Providers; The Trade-Offs; Data Source Views; DSV Wizard; DSV Designer; Adding/Removing Tables in a DSV; Specifying Primary Keys and Relationships in the DSV; Customizing Your Tables in the DSV Designer Data Source Views in Depth |
| Record Nr. | UNINA-9910462242403321 |
|
Harinath Sivakumar <1971->
|
||
| Hoboken, N.J., : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX [[electronic resource] /] / by Sivakumar Harinath ... [et al.]
| Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX [[electronic resource] /] / by Sivakumar Harinath ... [et al.] |
| Autore | Harinath Sivakumar <1971-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
| Descrizione fisica | 1 online resource (1180 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) | HarinathSivakumar <1971-> |
| Collana | Wrox programmer to programmer |
| Soggetto topico |
Database management
MDX (Computer program language) OLAP technology Relational databases Client/server computing |
| ISBN |
1-283-65635-3
1-118-22343-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Professional Microsoft® Sql Server® 2012 Analysis Services with MDX and DAX; Contents; Introduction; Who This Book is For; What This Book Covers; How This Book is Structured; What you Need to USE This Book; Conventions; Source Code; Errata; P2P.Wrox.Com; Part I: Introduction; Chapter 1: Introduction; BISM Multidimensional Mode; A Closer Look at Data Warehousing; Key Elements of a Data Warehouse; Fact Tables; Dimension Tables; Dimensions; Cubes; The Star Schema; The Snowflake Schema; Inmon Versus Kimball?-?Different Approaches; Business Intelligence Is Data Analysis; BISM Tabular Mode
SQL Server Analysis Services 2012The Business Intelligence Semantic Model; Data Model; Query Language; Data Access Technology; Summary; Part II Designing Multidimensional BISM; Chapter 2: A First Look at Multidimensional BISM; Development, Administrative, and Client Tools; Upgrading to Analysis Services 2012; Using SQL Server Data Tools to Build Analysis Services Multidimensional Applications; Creating a Project Using SQL Server Data Tools; The Solution Explorer; The Properties Window; The Output Window; Creating an Analysis Services Database Using SQL Server Data Tools Creating a Data SourceCreating a Data Source View (DSV); Creating a Cube Using the Cube Wizard; Deploying and Browsing a Cube; Using SQL Server Management Studio; The Object Explorer Pane; Querying Using the MDX Query Editor; Summary; Chapter 3: Understanding MDX; What Is MDX?; MDX Concepts; Measures and Measure Groups; Hierarchies and Hierarchy Levels; Members; Cells; Tuples; Sets; MDX Queries; SELECT Statement and Axis Specification; FROM Clause and Cube Specification; Subselect Clauses; WHERE Clause and Slicer Specification; Slicer Dimension; WITH Clause, Named Sets, and Calculated Members Named SetsCalculated Members; Ranking and Sorting; MDX Expressions; MDX Operators; Arithmetic Operators; Set Operators; Comparison Operators; Logical Operators; Special MDX Operators?-?Curly Braces, Commas, and Colons; MDX Functions; MDX Function Categories; Set Functions; Crossjoin; NONEMPTYCROSSJOIN and NONEMPTY; Filter and Having; Member Functions; Numeric Functions; Dimension Functions, Level Functions, and Hierarchy Functions; String Manipulation Functions; Other Functions; MDX Scripts; MDX Script Execution; CALCULATE Statement; Cube Space; AUTO EXISTS; Cell Calculations and Assignments RecursionFreeze Statement; Restricting Cube Space/Slicing Cube Data; SCOPE Statement; CREATE and DROP SUBCUBE; Using EXISTS; Using EXISTING; Using SUBSELECT; Parameterized MDX Queries; MDX Comments; Summary; Chapter 4: Data Sources and Data Source Views; Data Sources; Data Sources Supported by Analysis Services; .NET Versus OLE DB Data Providers; .NET Framework Data Providers; OLE DB Data Providers; The Trade-Offs; Data Source Views; DSV Wizard; DSV Designer; Adding/Removing Tables in a DSV; Specifying Primary Keys and Relationships in the DSV; Customizing Your Tables in the DSV Designer Data Source Views in Depth |
| Record Nr. | UNINA-9910785739203321 |
|
Harinath Sivakumar <1971->
|
||
| Hoboken, N.J., : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX [[electronic resource] /] / by Sivakumar Harinath ... [et al.]
| Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX [[electronic resource] /] / by Sivakumar Harinath ... [et al.] |
| Autore | Harinath Sivakumar <1971-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
| Descrizione fisica | 1 online resource (1180 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) | HarinathSivakumar <1971-> |
| Collana | Wrox programmer to programmer |
| Soggetto topico |
Database management
MDX (Computer program language) OLAP technology Relational databases Client/server computing |
| ISBN |
1-283-65635-3
1-118-22343-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Professional Microsoft® Sql Server® 2012 Analysis Services with MDX and DAX; Contents; Introduction; Who This Book is For; What This Book Covers; How This Book is Structured; What you Need to USE This Book; Conventions; Source Code; Errata; P2P.Wrox.Com; Part I: Introduction; Chapter 1: Introduction; BISM Multidimensional Mode; A Closer Look at Data Warehousing; Key Elements of a Data Warehouse; Fact Tables; Dimension Tables; Dimensions; Cubes; The Star Schema; The Snowflake Schema; Inmon Versus Kimball?-?Different Approaches; Business Intelligence Is Data Analysis; BISM Tabular Mode
SQL Server Analysis Services 2012The Business Intelligence Semantic Model; Data Model; Query Language; Data Access Technology; Summary; Part II Designing Multidimensional BISM; Chapter 2: A First Look at Multidimensional BISM; Development, Administrative, and Client Tools; Upgrading to Analysis Services 2012; Using SQL Server Data Tools to Build Analysis Services Multidimensional Applications; Creating a Project Using SQL Server Data Tools; The Solution Explorer; The Properties Window; The Output Window; Creating an Analysis Services Database Using SQL Server Data Tools Creating a Data SourceCreating a Data Source View (DSV); Creating a Cube Using the Cube Wizard; Deploying and Browsing a Cube; Using SQL Server Management Studio; The Object Explorer Pane; Querying Using the MDX Query Editor; Summary; Chapter 3: Understanding MDX; What Is MDX?; MDX Concepts; Measures and Measure Groups; Hierarchies and Hierarchy Levels; Members; Cells; Tuples; Sets; MDX Queries; SELECT Statement and Axis Specification; FROM Clause and Cube Specification; Subselect Clauses; WHERE Clause and Slicer Specification; Slicer Dimension; WITH Clause, Named Sets, and Calculated Members Named SetsCalculated Members; Ranking and Sorting; MDX Expressions; MDX Operators; Arithmetic Operators; Set Operators; Comparison Operators; Logical Operators; Special MDX Operators?-?Curly Braces, Commas, and Colons; MDX Functions; MDX Function Categories; Set Functions; Crossjoin; NONEMPTYCROSSJOIN and NONEMPTY; Filter and Having; Member Functions; Numeric Functions; Dimension Functions, Level Functions, and Hierarchy Functions; String Manipulation Functions; Other Functions; MDX Scripts; MDX Script Execution; CALCULATE Statement; Cube Space; AUTO EXISTS; Cell Calculations and Assignments RecursionFreeze Statement; Restricting Cube Space/Slicing Cube Data; SCOPE Statement; CREATE and DROP SUBCUBE; Using EXISTS; Using EXISTING; Using SUBSELECT; Parameterized MDX Queries; MDX Comments; Summary; Chapter 4: Data Sources and Data Source Views; Data Sources; Data Sources Supported by Analysis Services; .NET Versus OLE DB Data Providers; .NET Framework Data Providers; OLE DB Data Providers; The Trade-Offs; Data Source Views; DSV Wizard; DSV Designer; Adding/Removing Tables in a DSV; Specifying Primary Keys and Relationships in the DSV; Customizing Your Tables in the DSV Designer Data Source Views in Depth |
| Record Nr. | UNINA-9910819524103321 |
|
Harinath Sivakumar <1971->
|
||
| Hoboken, N.J., : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
