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SAP HANA: An Introduction,

SAP HANA: An Introduction,

          
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About the Book

HANA is moving quickly—are you on top of the latest developments? The third edition of our best-selling introduction covers all ground: from the basics of in-memory technology to the most recent innovations in the HANA landscape. With new discussions of native application development, SAP HANA Cloud Platform, and more, this book is all you need to take your first HANA steps.
From in-memory basics to implementation, learn what SAP HANA is all about
Start working in the system with step-by-step instructions for data modeling and provisioning
Updated with new coverage of SAP HANA cloud options and native application development
In this book, you'll learn about:

Implementation Options
Find out what your implementation options are, from the types of SAP HANA to cloud and on-premise offerings.

Native Application Development
Get the basics on application development for SAP HANA, including SAP HANA Cloud Platform, SAP HANA XS, and SAP River.

Data Modeling and Provisioning
Follow along with step-by-step instructions for SAP HANA Studio, SAP Data Services, and more.

Highlights include:
In-memory computing
Row and column store
SAP BW on SAP HANA
SAP Business Suite on SAP HANA
SAP BusinessObjects BI
SAP HANA Cloud Platform
SAP River
SAP HANA XS
SAP HANA Studio
SAP Data Services
SAP Landscape Transformation and SAP (Sybase) Replication Server
Administration

About the Author

Dr. Bjarne Berg is VP of ComeritLabs and has implemented in-memory solutions for SAP analytics in Europe and in the USA. In addition to his SAP HANA work at ComeritLabs, he has also collaborated with IBM at the Research Triangle Park in North Carolina with testing, development, and benchmarking SAP BW on SAP HANA solutions. In the past, he has implemented in-memory systems for Fortune 500 companies, and has managed over 50 SAP NetWeaver performance tuning engagements for large organizations. He is a frequent speaker at SAP conferences and also teaches in the SAP University Alliance. Penny Silvia is the SAP analytics and HANA leader for IBM's Global SAP iCoC. She has extensive experience in implementing advanced and in-memory analytic solutions for SAP customers. She works closely with clients to help them understand and develop SAP HANA roadmaps, strategies, and implementation plans, as well as identifying data and analytic needs that can benefit from an in-memory solution. She is a frequent speaker at SAP conferences and is on the Advisory Board for multiple SAP publications.



Table of Contents:
PART I What, Why, and When 1. In-Memory Computing, Big Data, and SAP HANA 2. SAP HANA On-Premise Implementation Options 3. SAP HANA in the Cloud 4. Advanced Applications for SAP HANA 5. SAP HANA and Your Business Strategy PART II How 6. Planning an SAP HANA Implementation 7. SAP HANA and SAP Business Intelligence 8. Developer Tools for SAP HANA 9. Data Modeling with Information Composer 10. Data Modeling with SAP HANA Studio 11. Advanced Concepts in SAP HANA Studio 12. Data Provisioning 13. SAP HANA Administration Contents Foreword to the Third Edition Introduction Acknowledgments PART I What, Why, and When 1 In-Memory Computing, Big Data, and SAP HANA 1.1 Introduction to In-Memory Computing and Big Data 1.1.1 In-Memory Computing and Analytics 1.1.2 Big Data 1.2 Introduction to SAP HANA 1.2.1 SAP HANA as an In-Memory Computing Solution 1.2.2 SAP HANA as an Enabler of Big Data Solutions 1.2.3 Column-Based versus Row-Based Storage 1.2.4 SAP HANA Capabilities 1.2.5 SAP HANA Adoption Drivers 1.3 Introduction to Implementation Options 1.3.1 Data Warehouse for Analytics 1.3.2 SAP BW on SAP HANA 1.3.3 SAP Business Suite on SAP HANA 1.4 Summary 2 SAP HANA On-Premise Implementation Options 2.1 SAP HANA as a Data Warehouse for Analytics 2.1.1 Technical Requirements 2.1.2 Skills Requirements 2.1.3 Project Plan Steps 2.2 SAP BW on SAP HANA 2.2.1 Technical Requirements 2.2.2 Skills Requirements 2.2.3 Project Plan Steps 2.3 SAP Business Suite on SAP HANA 2.3.1 Technical Requirements 2.3.2 Skills Requirements 2.3.3 Project Plan Steps 2.4 Choosing an SAP HANA Implementation Option 2.4.1 Choosing SAP HANA as a Data Warehouse for Analytics 2.4.2 Choosing SAP BW on SAP HANA 2.4.3 Choosing SAP Business Suite on SAP HANA 2.5 Summary 3 SAP HANA in the Cloud 3.1 Cloud Basics 3.2 SAP HANA Cloud Platform and SAP HANA Enterprise Cloud 3.2.1 SAP HANA Cloud Platform 3.2.2 SAP HANA Enterprise Cloud 3.2.3 SAP HANA Cloud Platform vs. SAP HANA Enterprise Cloud 3.3 Choosing SAP HANA in the Cloud 3.3.1 SAP HANA as a Data Warehouse for Analytics 3.3.2 SAP BW on SAP HANA 3.3.3 SAP Business Suite on SAP HANA 3.4 Summary 4 Advanced Applications for SAP HANA 4.1 SAP HANA Live 4.2 SAP Predictive Analysis for SAP HANA 4.3 SAP Business Planning and Consolidation for SAP HANA 4.4 SAP Simple Solutions 4.5 Summary 5 SAP HANA and Your Business Strategy 5.1 Identifying Transformational Opportunities 5.2 Understanding Your Needs 5.2.1 Enterprise Needs 5.2.2 Data Needs 5.3 Working with Existing Solutions: SAP HANA versus SAP BWA 5.3.1 Does SAP HANA Replace BWA? 5.3.2 Pros and Cons of BWA 5.3.3 Pros and Cons of SAP HANA 5.3.4 Conclusion 5.4 Writing a Business Case, Budgeting, and Staffing for SAP HANA 5.4.1 Writing a Business Case 5.4.2 Budgeting for an SAP HANA Implementation 5.4.3 Staffing an SAP HANA Implementation 5.4.4 Building a Roadmap 5.5 Frequently Asked Questions about SAP HANA 5.5.1 Is SAP HANA a Database, Hardware, or a Solution? 5.5.2 What Type of Customer Is Looking at SAP HANA Solutions? 5.5.3 What Are the Problem Statements That Identify a Need for SAP HANA? 5.5.4 What Is the Differentiator for SAP with SAP HANA? 5.5.5 Is SAP HANA Plug and Play? 5.5.6 Can Non-SAP Business Intelligence Tools Work on Top of SAP HANA? 5.5.7 What Does a Customer Need to Buy to Use SAP HANA? 5.5.8 How Much Does SAP HANA Cost? 5.5.9 Does SAP HANA Replace BWA for Customers? 5.5.10 Can SAP HANA be a Cloud Solution? 5.5.11 Is SAP HANA Just Another SAP Fad That Will Not Have a Long Life Span Like mySAP? 5.6 Summary PART II How 6 Planning an SAP HANA Implementation 6.1 Implementation-Independent Considerations 6.1.1 SAP HANA Editions 6.1.2 Hardware Specifications and Options 6.2 SAP HANA as a Data Warehouse 6.2.1 Data Modeling 6.2.2 Sizing 6.3 SAP Business Suite on SAP HANA 6.3.1 Clean New Install 6.3.2 In-Place Migration 6.3.3 Copy, Upgrade, and Migrate 6.3.4 Sizing 6.4 SAP Business Warehouse on SAP HANA 6.4.1 Sizing 6.4.2 Preparing for a Migration 6.4.3 Performing a Migration 6.4.4 Optimizing a Migration 6.4.5 New Features in SAP BW 7.4 6.5 Summary 7 SAP HANA and SAP Business Intelligence 7.1 Overview of Tools 7.1.1 SAP BusinessObjects Dashboards 7.1.2 SAP BusinessObjects Web Intelligence 7.1.3 SAP BusinessObjects Explorer 7.1.4 SAP BusinessObjects Analysis 7.1.5 SAP BusinessObjects Design Studio 7.1.6 SAP Crystal Reports 7.1.7 SAP Lumira 7.2 Connecting SAP BusinessObjects BI Tools to SAP HANA 7.2.1 Universes with Open and Java Database Connections (ODBC/JDBC) 7.2.2 Connecting to Excel with Open Database Objects and MDX 7.2.3 Building a Microsoft Query on SAP HANA 7.2.4 BICS Connections 7.2.5 Connectivity Summary 7.3 Summary 8 Developer Tools for SAP HANA 8.1 UI Development Toolkit for HTML5 (SAPUI5) 8.1.1 The Libraries of the UI Development Toolkit for HTML5 8.1.2 Understanding the Basics 8.1.3 Getting Started 8.2 SAP HANA Extended Application Services (XS) 8.3 SAP HANA Live 8.4 SAP HANA Cloud Platform 8.4.1 Getting Started 8.4.2 Database Schemas and the SAP HANA Cloud Catalog 8.4.3 Setting Roles in the SAP HANA Cloud Platform 8.5 SAP River 8.5.1 Creating an SAP River Application 8.5.2 Adding Actions in SAP River 8.5.3 Creating Views in SAP River 8.5.4 Using the SAP River Editor 8.5.5 Adding Data in SAP River 8.6 Summary 9 Data Modeling with Information Composer 9.1 Getting Started with Information Composer 9.1.1 Functionality 9.1.2 Example Scenario 9.2 Uploading Data to SAP HANA 9.2.1 Specifying the Data Source and Loading Data 9.2.2 Cleansing the Data 9.2.3 Classifying Data Columns 9.2.4 Saving the Data 9.3 Composing Information Views 9.3.1 Specifying Data Sources 9.3.2 Combining Data 9.4 Viewing Uploaded Data and Composed Information Views 9.4.1 My Data Screen Area 9.4.2 My Information Views Screen Area 9.5 Summary 10 Data Modeling with SAP HANA Studio 10.1 SAP HANA Studio Overview and Terminology 10.2 Getting Started with SAP HANA Information Modeler 10.2.1 Adding a System 10.2.2 Opening Perspectives 10.2.3 Using Quick Launch 10.2.4 Creating a Package 10.2.5 Example Scenario 10.3 Building Attribute Views 10.3.1 Creating an Attribute View 10.3.2 Creating Drilldown Capabilities in an Attribute View 10.3.3 Checking, Saving, and Activating Attribute Views 10.3.4 Creating the Time Attribute View 10.4 Building Analytic Views 10.4.1 Creating an Analytic View 10.4.2 Adding Views and Tables 10.4.3 Picking Fields to Be Made Available in an Analytic View 10.4.4 Adding a Language Filter to an Analytic View 10.4.5 Adding a Calculation to an Analytic View 10.4.6 Previewing Data in an Analytic View 10.4.7 Copying an Analytic View 10.5 Building Calculation Views Using the Graphical Method 10.6 SQL and SQLScript 10.6.1 Using SQL 10.6.2 Using SQLScript 10.7 Summary 11 Advanced Concepts in SAP HANA Studio 11.1 Data Mart Virtualization 11.2 Derived Attribute Views 11.3 Calculated Attributes 11.4 Restricted and Calculated Measures 11.5 Filter and Variable Operations 11.5.1 Filters 11.5.2 Variables and Input Parameters 11.6 Currency Conversion 11.6.1 Using an Input Parameter to Specify the Target Currency 11.6.2 Linking Measures with Currencies without Using Conversion 11.7 Hierarchies 11.7.1 Creating a Leveled Hierarchy 11.7.2 Creating a Parent-Child Hierarchy 11.8 Personalizing Studio 11.8.1 Model Validation 11.8.2 Versioning 11.8.3 Checking Model References 11.8.4 Customizing Perspectives 11.9 Summary 12 Data Provisioning 12.1 Choosing a Data Provisioning Method 12.1.1 Strategic Considerations 12.1.2 Technical Considerations 12.2 Trigger-Based Replication: SAP Landscape Transformation 12.2.1 Installation 12.2.2 How SLT Works 12.2.3 SLT Configuration 12.2.4 SLT Administration (Start, Replicate, Stop, Suspend, Resume) 12.2.5 Extended Features 12.2.6 Setting Up a New Replication Configuration in SAP HANA 12.2.7 Adding Tables to an Existing Replication Configuration 12.3 ETL-Based Replication: SAP Data Services 12.3.1 Configuration Requirements 12.3.2 Preparing SAP HANA to Receive Data from SAP Data Services 12.3.3 Loading Data 12.4 Log-Based Replication: SAP (Sybase) Replication Server and Load Controller 12.4.1 Installation 12.4.2 Running SAP/Sybase Replication 12.5 Direct Extractor Connection 12.5.1 DXC Technology 12.5.2 Important Considerations for the Use of DXC 12.5.3 Preparing SAP HANA for Use with DXC 12.5.4 Preparing the Source System for Use with DXC 12.5.5 Loading Data to SAP HANA with DXC 12.6 Summary 13 SAP HANA Administration 13.1 Using the SAP HANA Administration Console 13.1.1 Adding Systems 13.1.2 Exporting and Importing Systems 13.1.3 Viewing System Installation Details 13.1.4 Administration Editor and Diagnosis Mode 13.1.5 Changing File Locations 13.1.6 Changing Configurations 13.1.7 Modifying the Administration Console 13.2 System Monitoring 13.2.1 Monitoring Disk Usage 13.2.2 Performance Monitoring 13.2.3 Monitoring with Alerts 13.2.4 Configuring Alerts 13.2.5 Monitoring Services and Distributed Systems 13.2.6 Exporting and Importing Table Data and Definitions 13.2.7 Monitoring Memory Usage 13.2.8 Managing Large Tables with Partitioning 13.2.9 Moving Files and Partitions for Load Balancing 13.2.10 Fixing a Full Disk Event 13.2.11 Support for Unresponsive Systems 13.3 Updates 13.3.1 Updating the SAP HANA Appliance 13.3.2 Updating SAP HANA Studio 13.4 Security 13.4.1 System Privileges 13.4.2 Authentication Security 13.4.3 Authorization Security 13.4.4 Setting a Password Policy 13.5 License Keys 13.5.1 Temporary License Keys 13.5.2 Permanent License Keys 13.6 Backup and High Availability 13.6.1 Backup 13.6.2 High Availability 13.6.3 Multiple Databases and Components on Same Hardware 13.7 SAP Solution Manager and SAP HANA 13.8 DBA Cockpit for SAP HANA 13.9 Summary The Authors Index


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Product Details
  • ISBN-13: 9789351108238
  • Publisher: Shroff / SAP Press
  • Binding: Hardback
  • Height: 229 mm
  • No of Pages: 584
  • ISBN-10: 9351108236
  • Publisher Date: 2014
  • Edition: 3
  • Language: English
  • Width: 178 mm

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