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SAP Data Intelligence

Author: Dharma Teja Atluri

Publisher: SAP PRESS

Published: 2021

Total Pages: 783

ISBN-13: 9781493221622

Manage your data landscape with SAP Data Intelligence! Begin by understanding its architecture and capabilities and then see how to set up and install SAP Data Intelligence with step-by-step instructions. Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning. Integrate with ABAP-based systems, SAP Vora, SAP Analytics Cloud, and more. Manage, secure, and operate SAP Data Intelligence with this all-in-one guide!In this book, you'll learn about:a. Configuration Build your SAP Data Intelligence landscape! Use SAP Cloud Appliance Library for cloud deployment, including provisioning, sizing, and accessing the launchpad. Perform on-premise installations using tools like the maintenance planner. b. Capabilities Put the core capabilities of SAP Data Intelligence to work! Manage and govern your data with the metadata explorer, use the modeler application to create data processing pipelines, create apps with the Jupyter Notebook, and more. c. Integration and Administration Integrate, manage, and operate SAP Data Intelligence! Get step-by-step instructions for integration with SAP and non-SAP systems. Learn about key administration tasks and make sure your landscape is secure and running smoothly. Highlights include:1) Configuration and installation2) Data governance3) Data processing pipelines4) Docker images5) ML Scenario Manager6) Jupyter Notebook7) Python SDK8) Integration9) Administration10) Security11) Application lifecycle management12) Use cases

SAP HANA 2.0

Author: Denys Van Kempen

Publisher: SAP PRESS

Published: 2019

Total Pages: 438

ISBN-13: 9781493218387

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Enter the fast-paced world of SAP HANA 2.0 with this introductory guide. Begin with an exploration of the technological backbone of SAP HANA as a database and platform. Then, step into key SAP HANA user roles and discover core capabilities for administration, application development, advanced analytics, security, data integration, and more. No matter how SAP HANA 2.0 fits into your business, this book is your starting point. In this book, you'll learn about: a. Technology Discover what makes an in-memory database platform. Learn about SAP HANA's journey from version 1.0 to 2.0, take a tour of your technology options, and walk through deployment scenarios and implementation requirements. b. Tools Unpack your SAP HANA toolkit. See essential tools in action, from SAP HANA cockpit and SAP HANA studio, to the SAP HANA Predictive Analytics Library and SAP HANA smart data integration. c. Key Roles Understand how to use SAP HANA as a developer, administrator, data scientist, data center architect, and more. Explore key tasks like backend programming with SQLScript, security setup with roles and authorizations, data integration with the SAP HANA Data Management Suite, and more. Highlights include: 1) Architecture 2) Administration 3) Application development 4) Analytics 5) Security 6) Data integration 7) Data architecture 8) Data center

Implementing Machine Learning with SAP S/4HANA

Author: Siar Sarferaz

Publisher: SAP PRESS

Published: 2020

Total Pages: 408

ISBN-13: 9781493220113

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Put machine learning to work in SAP S/4HANA! Get started by reviewing your available tools and implementation options. Then, learn how to set up services, train models, and manage applications. Discover how machine learning is implemented in key lines of business, from finance to sales. With details on extensibility and related SAP Cloud Platform services, you'll find everything you need to make the most of machine learning! In this book, you'll learn about: a. Tools and Technologies Get to know the machine learning toolkit you can use to consume models: SAP HANA, SAP Cloud Platform, SAP Analytics Cloud, SAP Intelligent Robotic Process Automation, and more. b. Technical Implementation Perform the technical setup in SAP S/4HANA. Learn how to implement key services, train machine learning models, and manage applications, from data integration to user interface design. c. Business Implementation See how machine learning improves your lines of business. Explore machine learning in SAP S/4HANA business processes for finance, procurement, sales, inventory, and more. Highlights Include: 1) Predictive analytics 2) Predictive intelligence 3) Tools and technologies 4) Architecture 5) Embedded services 6) Technical implementation 7) Business implementation 8) Extensibility 9) SAP HANA 10) SAP Cloud Platform 11) SAP Analytics Cloud

Machine Learning with SAP

Author: Laboni Bhowmik

Publisher: SAP PRESS

Published: 2020

Total Pages: 550

ISBN-13: 9781493219261

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Work smarter with machine learning! Begin with core machine learning concepts--types of learning, algorithms, data preparation, and more. Then use SAP Data Intelligence, SAP HANA, and other technologies to create your own machine learning applications. Master the SAP HANA Predictive Analysis Library (PAL) and machine learning functional and business services to train and deploy models. Finally, see machine learning in action in industries from manufacturing to banking. a. Foundation Build your understanding of probability concepts and algorithms that drive machine learning. See how linear regression, classification, and cluster analysis algorithms work, before plugging them into your very own machine learning app! b. Development Follow step-by-step instructions to gather and prepare data, create machine learning models, train and fine-tune models, and deploy your final app, all using SAP HANA and SAP Data Intelligence. c. Platforms Use built-in SAP HANA libraries to create applications that consume machine learning algorithms or integrate with the R language for additional statistical capabilities. Work with the SAP Leonardo functional services to customize and embed pre-trained models into applications or bring your own model with the help of Google TensorFlow. 1) Development 2) Retraining 3) Implementation 4) SAP Data Intelligence 5) SAP HANA predictive analysis library 6) SAP HANA extended machine learning library 7) SAP HANA automated predictive library 8) Google TensorFlow 9) Embedded machine learning 10) SAP Conversational AI 11) SAP Analytics Cloud Smart Predict

SAP S/4HANA Embedded Analytics

Author: Jürgen Butsmann

Publisher: SAP PRESS

Published: 2021

Total Pages: 432

ISBN-13: 9781493220502

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Meet your BI needs with SAP S/4HANA embedded analytics! Explore the system architecture and data model and learn how to perform analytics on live transactional data. Business user? Walk step-by-step through SAP Smart Business KPIs, dashboards, and multidimensional reporting. Analytics specialist? Master the virtual data model and report creation. Jack of all trades? Create CDS views, apply custom fields and logic, and learn to integrate SAP S/4HANA with SAP Analytics Cloud. This is your complete guide to SAP S/4HANA embedded analytics! Highlights include: 1) Architecture 2) Virtual data model (VDM) 3) CDS views 4) SAP Fiori apps 5) SAP Smart Business 6) Key performance indicators (KPIs) 7) Dashboards 8) Reporting 9) Data warehousing 10) SAP Analytics Cloud 11) Machine learning

Learning SAP Analytics Cloud

Author: Riaz Ahmed

Publisher: Packt Publishing Ltd

Published: 2017-07-10

Total Pages: 420

ISBN-13: 1788291840

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Start making better business decisions backed by data About This Book Predict new opportunities and risks in a few mouse clicks Eliminate complexity with tools that let you plan, analyze, and collaborate in context—in real time Discover, visualize, plan, and predict in a single product with agile BI tools Who This Book Is For This book targets IT professionals, business analysts, BI developers, managers, newcomers to SAP Analytics Cloud, and ultimately anyone who wants to learn from self-paced, professional guidance and needs a solid foundation in SAP Analytics Cloud. What You Will Learn A clear understanding of SAP Analytics Cloud platform Create data models using different data sources, including Excel and text files . Present professional analyses using different types of charts, tables, geo maps, and more Using stories, drill up and down instantly to analyze data from various angles Share completed stories with other team members or compile them in SAP Digital Boardroom agendas for presentation to major stakeholders Export the results of a story to a PDF file Save time by planning, analyzing, predicting, and collaborating in context Discover, visualize, plan, and predict in one product as opposed to separate solutions In Detail The book starts with the basics of SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) and exposes almost every significant feature a beginner needs to master. Packed with illustrations and short, essential, to-the-point descriptions, the book provides a unique learning experience. Your journey of exploration starts with a basic introduction to the SAP Analytics Cloud platform. You will then learn about different segments of the product, such as Models, Stories, Digital Boardroom, and so on. Then, you are introduced to the product's interface: the Home screen, the main menu, and more. Then comes the hands-on aspect of the book, which starts with model creation. Next, you learn how to utilize a model to prepare different types of stories(reports) with the help of charts, tables, Geo Maps, and more. In the final chapters of this book, you will learn about Digital Boardroom, Collaboration, and Administration. Style and approach The easy-to-follow visual instructions provided in this book help business users and report developers create simple and complex stories (reports) quickly

SAP BusinessObjects Reporting Cookbook

Author: Yoav Yahav

Publisher: Packt Publishing Ltd

Published: 2014-08-26

Total Pages: 560

ISBN-13: 1782172440

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If you are a business analyst, BI developer, or an IT professional who wants to learn the A to Z of how to work with Web Intelligence reporting tools and different types of data, then this book is for you. The only thing you need is a basic understanding of what Business Intelligence is and data concepts.

SAP Businessobjects Web Intelligence

Author: Jim Brogden

Publisher: SAP PRESS

Published: 2014

Total Pages: 0

ISBN-13: 9781493210572

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Sharpen your data presentations with this comprehensive guide to SAP BusinessObjects Web Intelligence. From creating a report, to displaying data via charts, to sharing reports with others, get everything from the basics to the actionable details that inform your work. This third edition of our best-selling book on WebI includes UI and functionality changes for SAP BusinessObjects 4.1 and expanded coverage of new topics like SAP HANA and mobility. Make your reporting and analysis intelligent Web Intelligence 4.1Flex your sales analysis and reporting muscles with usability improvements, new language support, and enhanced workflows for SAP HANA and BW data sources with the newest version of WebI. From Creation to PublicationGet the complete picture of working with WebI. From the first steps to the last, learn how to design reports that make an impact. Mobile IntegrationExplore the new features of SAP BusinessObjects Mobile 5.x and learn how you can provide advanced analytics on mobile devices. Highlights: Release 4.1 HTML and Java viewers SAP HANA variable support Report creation Report Panel Data filters Drill-down Query Panel functionality BI Launch Pad Enhanced BI Mobile features Web Intelligence Rich Client

SAP Leonardo

Author: Pierre Erasmus

Publisher: SAP PRESS

Published: 2019

Total Pages: 0

ISBN-13: 9781493217847

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This guide to SAP Leonardo shows you how new technologies from machine learning to blockchain intersect with existing processes to transform your business. --

SAP Data Services

Author: Bing Chen

Publisher: SAP PRESS

Published: 2015

Total Pages: 0

ISBN-13: 9781493211678

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It's time to extract, transform, and load your skills on managing enterprise data With this book on SAP Data Services, you'll be an expert in no time. After learning about topics like planning, blueprinting, and integrating SAP Data Services, you'll get into the core of the book - detailed steps on how to perform Data Services tasks. Get the skills you need for your daily job, from basic tasks like designing objects, to advanced duties like analyzing unstructured text. Starting with Data Services Set up your Data Services foundation. Learn how to plan for Data Services in your organization, then how to install, configure, and get working with it. Data Services Tasks Regardless of your skillset, you'll find essential information on the tasks you'll encounter when working with Data Services. Learn how to architect jobs with performance, transparency, supportability, and cost in mind. Integration Data Services plays well with others. This book explores two common integration scenarios: data warehousing and retail environments. Learn how to overcome common challenges and see frequently used scenarios. Highlights: Data Services architecture and OS Enterprise information management Installation: Windows and Linux Configuration Troubleshooting Data Services objects Datastores Data Services scripting language Social media analytics Information Steward Integration: data warehousing and retail