Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XVII, 348 Seiten) , 380 Illustrationen, 370 Illustrationen (farbig)

Edition: Second edition

ISBN: 9781484225776

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-4842-2576-9

Former: Vorangegangen ist Clark, Dan Beginning power BI with Excel 2013

Language: English

Subjects: Computer Science

Keywords: Excel 2016 ; Business Intelligence ; Power BI

DOI: 10.1007/978-1-4842-2577-6

URL: Volltext  (URL des Erstveröffentlichers)

URL: Inhaltsverzeichnis

UID:

Format: 1 online resource (streaming video file) (172 minutes): , digital, .flv file, sound

Content: Sitcom about 20-something Don, a man with bad luck and even worse instincts.

Note: Title from title frames. , Film , In Process Record. , Originally produced by BBC Studios in 2008. , Mode of access: World Wide Web.

Language: English

Keywords: Feature films. ; Feature films. ; Feature films. ; Feature films.

URL: A Kanopy streaming video

URL: Cover Image

URL: A Kanopy streaming video

URL: Cover Image

URL: A Kanopy streaming video

URL: Cover Image

URL: A Kanopy streaming video

URL: Cover Image

UID:

Format: XV, 411 p. 392 illus. , online resource.

Edition: 3rd ed. 2020.

ISBN: 9781484256206

Content: Analyze company data quickly and easily using Microsoft's powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals. Beginning Power BI is a hands-on, activity-based guide that takes you through the process of analyzing your data using the tools that that encompass the core of Microsoft's self-service BI offering. Starting with Power Query, you will learn how to get data from a variety of sources, and see just how easy it is to clean and shape the data prior to importing it into a data model. Using Power BI tabular and the Data Analysis Expressions (DAX), you will learn to create robust scalable data models which will serve as the foundation of your data analysis. From there you will enter the world of compelling interactive visualizations to analyze and gain insight into your data. You will wrap up your Power BI journey by learning how to package and share your reports and dashboards with your colleagues. Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This third edition covers the new and evolving features in the Power BI platform and new chapters on data flows and composite models. This book is your hands-on guide to quick, reliable, and valuable data insight. What You Will Learn: Simplify data discovery, association, and cleansing Build solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Dan Clark is a senior business intelligence (BI) and programming consultant specializing in Microsoft technologies. He is focused on learning new BI and data technologies and training others on how to best implement the technology. Dan has published several books and numerous articles on .NET programming and BI development. He is a regular speaker at various developer and database conferences and user group meetings and enjoys interacting with the Microsoft communities. In a previous life, Dan was a physics teacher. He is still inspired by the wonder and awe of studying the universe and figuring out why things behave the way they do. .

Note: Chapter 1: Introducing Power BI -- Chapter 2: Importing Data into Power BI Desktop -- Chapter 3: Data Munging with Power Query -- Chapter 4: Creating the Data Model -- Chapter 5: Creating Calculations with DAX -- Chapter 6: Creating Measures with DAX -- Chapter 7: Incorporating Time Intelligence -- Chapter 8: Creating Reports with Power BI Desktop -- Chapter 9: Publishing Reports and Creating Dashboards in the Power BI Portal -- Chapter 10: Introducing Power Pivot in Excel. Chapter 11: Data Analysis with Pivot Tables and Charts -- Chapter 12: Creating a Complete Solution -- Chapter 13: Advanced Topics in Power Query -- Chapter 14: Advanced Topics in Power BI Desktop -- Chapter 15: Advanced Topics in Power BI Data Modeling.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9781484256190

Additional Edition: Printed edition: ISBN 9781484256213

Language: English

DOI: 10.1007/978-1-4842-5620-6

URL: https://doi.org/10.1007/978-1-4842-5620-6

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XVI, 362 S. , graph. Darst.

ISBN: 9781430235309

Series Statement: The expert's voice in C#

Language: English

Subjects: Computer Science

Keywords: C sharp ; Objektorientierte Programmierung

UID:

Format: 1 online resource (410 pages)

Edition: 1st ed.

ISBN: 9781118742099

Note: Cover -- Title Page -- Copyright -- Contents -- Introduction -- Part I What Is Big Data? -- Chapter 1 Industry Needs and Solutions -- What's So Big About Big Data? -- A Brief History of Hadoop -- Google -- Nutch -- What Is Hadoop? -- Derivative Works and Distributions -- Hadoop Distributions -- Core Hadoop Ecosystem -- Important Apache Projects for Hadoop -- The Future for Hadoop -- Summary -- Chapter 2 Microsoft's Approach to Big Data -- A Story of "Better Together" -- Competition in the Ecosystem -- SQL on Hadoop Today -- Hortonworks and Stinger -- Cloudera and Impala -- Microsoft's Contribution to SQL in Hadoop -- Deploying Hadoop -- Deployment Factors -- Deployment Topologies -- Deployment Scorecard -- Summary -- Part II Setting Up for Big Data with Microsoft -- Chapter 3 Configuring Your First Big Data Environment -- Getting Started -- Getting the Install -- Running the Installation -- On-Premise Installation: Single-Node Installation -- HDInsight Service: Installing in the Cloud -- Windows Azure Storage Explorer Options -- Validating Your New Cluster -- Logging into HDInsight Service -- Verify HDP Functionality in the Logs -- Common Post-Setup Tasks -- Loading Your First Files -- Verifying Hive and Pig -- Summary -- Part III Storing and Managing Big Data -- Chapter 4 HDFS, Hive, HBase, and HCatalog -- Exploring the Hadoop Distributed File System -- Explaining the HDFS Architecture -- Interacting with HDFS -- Exploring Hive: The Hadoop Data Warehouse Platform -- Designing, Building, and Loading Tables -- Querying Data -- Configuring the Hive ODBC Driver -- Exploring HCatalog: HDFS Table and Metadata Management -- Exploring HBase: An HDFS Column-Oriented Database -- Columnar Databases -- Defining and Populating an HBase Table -- Using Query Operations -- Summary -- Chapter 5 Storing and Managing Data in HDFS , Running an Item-to-item Recommendation Job -- Summary -- Chapter 13 Big Data and the Cloud -- Defining the Cloud -- Exploring Big Data Cloud Providers -- Amazon -- Microsoft -- Setting Up a Big Data Sandbox in the Cloud -- Getting Started with Amazon EMR -- Getting Started with HDInsight -- Storing Your Data in the Cloud -- Storing Data -- Uploading Your Data -- Exploring Big Data Storage Tools -- Integrating Cloud Data -- Other Cloud Data Sources -- Summary -- Chapter 14 Big Data in the Real World -- Common Industry Analytics -- Telco -- Energy -- Retail -- Data Services -- IT/Hosting Optimization -- Marketing Social Sentiment -- Operational Analytics -- Failing Fast -- A New Ecosystem of Technologies -- User Audiences -- Summary -- Part VI Moving Your Big Data Forward -- Chapter 15 Building and Executing Your Big Data Plan -- Gaining Sponsor and Stakeholder Buy-In -- Problem Definition -- Scope Management -- Stakeholder Expectations -- Defining the Criteria for Success -- Identifying Technical Challenges -- Environmental Challenges -- Challenges in Skillset -- Identifying Operational Challenges -- Planning for Setup/Configuration -- Planning for Ongoing Maintenance -- Going Forward -- The Hand-Off to Operations -- After Deployment -- Summary -- Chapter 16 Operational Big Data Management -- Hybrid Big Data Environments: Cloud and On-Premise Solutions Working Together -- Ongoing Data Integration with Cloud and On-Premise Solutions -- Integration Thoughts for Big Data -- Backups and High Availability in Your Big Data Environment -- High Availability -- Disaster Recovery -- Big Data Solution Governance -- Creating Operational Analytics -- System Center Operations Manager for HDP -- Installing the Ambari SCOM Management Pack -- Monitoring with the Ambari SCOM Management Pack -- Summary -- Index , Transforming Data with Pig -- Using Pig and SSIS Together -- Choosing the Right Tool -- Use Cases for SSIS -- Use Cases for Pig -- Use Cases for Sqoop -- Summary -- Chapter 9 Data Research and Advanced Data Cleansing with Pig and Hive -- Getting to Know Pig -- When to Use Pig -- Taking Advantage of Built-in Functions -- Executing User-defined Functions -- Using UDFs -- Building Your Own UDFs for Pig -- Using Hive -- Data Analysis with Hive -- Types of Hive Functions -- Extending Hive with Map-reduce Scripts -- Creating a Custom Map-reduce Script -- Creating Your Own UDFs for Hive -- Summary -- Part V Big Data and SQL Server Together -- Chapter 10 Data Warehouses and Hadoop Integration -- State of the Union -- Challenges Faced by Traditional Data Warehouse Architectures -- Technical Constraints -- Business Challenges -- Hadoop's Impact on the Data Warehouse Market -- Keep Everything -- Code First (Schema Later) -- Model the Value -- Throw Compute at the Problem -- Introducing Parallel Data Warehouse (PDW) -- What Is PDW? -- Why Is PDW Important? -- How PDW Works -- Project Polybase -- Polybase Architecture -- Business Use Cases for Polybase Today -- Speculating on the Future for Polybase -- Summary -- Chapter 11 Visualizing Big Data with Microsoft BI -- An Ecosystem of Tools -- Excel -- PowerPivot -- Power View -- Power Map -- Reporting Services -- Self-service Big Data with PowerPivot -- Setting Up the ODBC Driver -- Loading Data -- Updating the Model -- Adding Measures -- Creating Pivot Tables -- Rapid Big Data Exploration with Power View -- Spatial Exploration with Power Map -- Summary -- Chapter 12 Big Data Analytics -- Data Science, Data Mining, and Predictive Analytics -- Data Mining -- Predictive Analytics -- Introduction to Mahout -- Building a Recommendation Engine -- Getting Started -- Running a User-to-user Recommendation Job , Understanding the Fundamentals of HDFS -- HDFS Architecture -- NameNodes and DataNodes -- Data Replication -- Using Common Commands to Interact with HDFS -- Interfaces for Working with HDFS -- File Manipulation Commands -- Administrative Functions in HDFS -- Moving and Organizing Data in HDFS -- Moving Data in HDFS -- Implementing Data Structures for Easier Management -- Rebalancing Data -- Summary -- Chapter 6 Adding Structure with Hive -- Understanding Hive's Purpose and Role -- Providing Structure for Unstructured Data -- Enabling Data Access and Transformation -- Differentiating Hive from Traditional RDBMS Systems -- Working with Hive -- Creating and Querying Basic Tables -- Creating Databases -- Creating Tables -- Adding and Deleting Data -- Querying a Table -- Using Advanced Data Structures with Hive -- Setting Up Partitioned Tables -- Loading Partitioned Tables -- Using Views -- Creating Indexes for Tables -- Summary -- Chapter 7 Expanding Your Capability with HBase and HCatalog -- Using HBase -- Creating HBase Tables -- Loading Data into an HBase Table -- Performing a Fast Lookup -- Loading and Querying HBase -- Managing Data with HCatalog -- Working with HCatalog and Hive -- Defining Data Structures -- Creating Indexes -- Creating Partitions -- Integrating HCatalog with Pig and Hive -- Using HBase or Hive as a Data Warehouse -- Summary -- Part IV Working with Your Big Data -- Chapter 8 Effective Big Data ETL with SSIS, Pig, and Sqoop -- Combining Big Data and SQL Server Tools for Better Solutions -- Why Move the Data? -- Transferring Data Between Hadoop and SQL Server -- Working with SSIS and Hive -- Connecting to Hive -- Configuring Your Packages -- Loading Data into Hadoop -- Getting the Best Performance from SSIS -- Transferring Data with Sqoop -- Copying Data from SQL Server -- Copying Data to SQL Server -- Using Pig for Data Movement

Additional Edition: Print version Jorgensen, Adam Microsoft Big Data Solutions Newark : John Wiley & Sons, Incorporated,c2014 ISBN 9781118729083

Language: English

Keywords: Electronic books ; Electronic books

URL: FULL  ((OIS Credentials Required))

URL: Full-text  ((OIS Credentials Required))

UID:

Format: xvii, 348 Seiten , Illustrationen , 25.4 cm x 17.8 cm, 0 g

Edition: 2nd edition

ISBN: 9781484225769 , 1484225767

Note: Erscheint auch als Online-Ausgabe 9781484225776 (ISBN) , Vorher 9781430264453 (ISBN)

Language: English

URL: http://deposit.dnb.de/cgi-bin/dokserv?id=2bf57cd23c7a4dda9c7d475c309eb1b5&prov=M&dok_var=1&dok_ext=htm

URL: http://d-nb.info/1157120733/04

UID:

Format: 1 online resource (XV, 411 p. 392 illus.)

Edition: 3rd ed. 2020.

ISBN: 1-4842-5620-4

Content: Analyze company data quickly and easily using Microsoft’s powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals. Beginning Power BI is a hands-on, activity-based guide that takes you through the process of analyzing your data using the tools that that encompass the core of Microsoft’s self-service BI offering. Starting with Power Query, you will learn how to get data from a variety of sources, and see just how easy it is to clean and shape the data prior to importing it into a data model. Using Power BI tabular and the Data Analysis Expressions (DAX), you will learn to create robust scalable data models which will serve as the foundation of your data analysis. From there you will enter the world of compelling interactive visualizations to analyze and gain insight into your data. You will wrap up your Power BI journey by learning how to package and share your reports and dashboards with your colleagues. Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This third edition covers the new and evolving features in the Power BI platform and new chapters on data flows and composite models. This book is your hands-on guide to quick, reliable, and valuable data insight. What You Will Learn: Simplify data discovery, association, and cleansing Build solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Dan Clark is a senior business intelligence (BI) and programming consultant specializing in Microsoft technologies. He is focused on learning new BI and data technologies and training others on how to best implement the technology. Dan has published several books and numerous articles on .NET programming and BI development. He is a regular speaker at various developer and database conferences and user group meetings and enjoys interacting with the Microsoft communities. In a previous life, Dan was a physics teacher. He is still inspired by the wonder and awe of studying the universe and figuring out why things behave the way they do. .

Note: Includes index. , Chapter 1: Introducing Power BI -- Chapter 2: Importing Data into Power BI Desktop -- Chapter 3: Data Munging with Power Query -- Chapter 4: Creating the Data Model -- Chapter 5: Creating Calculations with DAX -- Chapter 6: Creating Measures with DAX -- Chapter 7: Incorporating Time Intelligence -- Chapter 8: Creating Reports with Power BI Desktop -- Chapter 9: Publishing Reports and Creating Dashboards in the Power BI Portal -- Chapter 10: Introducing Power Pivot in Excel. Chapter 11: Data Analysis with Pivot Tables and Charts -- Chapter 12: Creating a Complete Solution -- Chapter 13: Advanced Topics in Power Query -- Chapter 14: Advanced Topics in Power BI Desktop -- Chapter 15: Advanced Topics in Power BI Data Modeling.

Additional Edition: ISBN 1-4842-5619-0

Language: English

DOI: 10.1007/978-1-4842-5620-6

UID:

Format: 1 online resource (XV, 411 p. 392 illus.)

Edition: 3rd ed. 2020.

ISBN: 1-4842-5620-4

Content: Analyze company data quickly and easily using Microsoft’s powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals. Beginning Power BI is a hands-on, activity-based guide that takes you through the process of analyzing your data using the tools that that encompass the core of Microsoft’s self-service BI offering. Starting with Power Query, you will learn how to get data from a variety of sources, and see just how easy it is to clean and shape the data prior to importing it into a data model. Using Power BI tabular and the Data Analysis Expressions (DAX), you will learn to create robust scalable data models which will serve as the foundation of your data analysis. From there you will enter the world of compelling interactive visualizations to analyze and gain insight into your data. You will wrap up your Power BI journey by learning how to package and share your reports and dashboards with your colleagues. Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This third edition covers the new and evolving features in the Power BI platform and new chapters on data flows and composite models. This book is your hands-on guide to quick, reliable, and valuable data insight. What You Will Learn: Simplify data discovery, association, and cleansing Build solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Dan Clark is a senior business intelligence (BI) and programming consultant specializing in Microsoft technologies. He is focused on learning new BI and data technologies and training others on how to best implement the technology. Dan has published several books and numerous articles on .NET programming and BI development. He is a regular speaker at various developer and database conferences and user group meetings and enjoys interacting with the Microsoft communities. In a previous life, Dan was a physics teacher. He is still inspired by the wonder and awe of studying the universe and figuring out why things behave the way they do. .

Note: Includes index. , Chapter 1: Introducing Power BI -- Chapter 2: Importing Data into Power BI Desktop -- Chapter 3: Data Munging with Power Query -- Chapter 4: Creating the Data Model -- Chapter 5: Creating Calculations with DAX -- Chapter 6: Creating Measures with DAX -- Chapter 7: Incorporating Time Intelligence -- Chapter 8: Creating Reports with Power BI Desktop -- Chapter 9: Publishing Reports and Creating Dashboards in the Power BI Portal -- Chapter 10: Introducing Power Pivot in Excel. Chapter 11: Data Analysis with Pivot Tables and Charts -- Chapter 12: Creating a Complete Solution -- Chapter 13: Advanced Topics in Power Query -- Chapter 14: Advanced Topics in Power BI Desktop -- Chapter 15: Advanced Topics in Power BI Data Modeling.

Additional Edition: ISBN 1-4842-5619-0

Language: English

DOI: 10.1007/978-1-4842-5620-6

UID:

Format: XXIV, 447 S., 39 Taf , 4

Language: English

Keywords: Großbritannien ; Technik ; Ausstellungskatalog

UID:

ISSN: 0016-9013

In: The gerontologist, Cary, NC : Oxford Univ. Press, 1961, 46(2006), 5, Seite 669-676, 0016-9013

In: volume:46

In: year:2006

In: number:5

In: pages:669-676

Language: English