Neuware -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 783 pp. Englisch.

Seller Inventory # 9781493221622

Contact seller

Report this item

Bibliographic Details

Title: SAP Data Intelligence
Publisher: Rheinwerk Verlag Gmbh Feb 2022
Publication Date: 2022
Language: English
ISBN 10: 1493221620
ISBN 13: 9781493221622
Binding: Buch
Condition: Neu
Dimensions: 262 millimeters width by 184 millimeters height by 51 millimeters depth
Weight: 1746 grams

About this title

Synopsis

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

About the Author

Dharma Teja Atluri is an executive architect and artificial intelligence/machine learning evangelist at IBM. He has more than 18 years of experience working in advanced analytics with both SAP and non-SAP product lines. He has provided strategic direction to clients globally regarding the adoption of SAP and non-SAP advanced analytics products for artificial intelligence/machine learning operationalization, data management, information management, and analytics. He has also carried out multiple platform comparison initiatives for reporting, extract, transform load (ETL), data warehousing, and data science products across IBM, Microsoft Azure, Google, Amazon Web Services, and SAP. He has led the SAP analytics (reporting and enterprise information management) portfolio for IBM India, and designed client architectures for analytics with SAP and IBM capabilities. Dharma is an IBM master certified data scientist, architect, and technical specialist, and also an IBM thought leader certified consultant. His most recent SAP Data Intelligence sprint was featured for global consumption by clients and nominated for SAP Innovation Awards.

Devraj Bardhan is an accomplished global leader for SAP Innovations at IBM. He has led several large transformation projects, driving business growth agenda through innovation and digital efficiencies. He is an established subject matter expert (SME) for SAP S/4HANA, SAP Ariba and SAP Business Technology Platform, growing IBM's digital transformation capability by designing and implementing global templates and intelligent workflows. He is part of the global SAP Center of Competence at IBM and works very closely with SAP incubating the next big idea.

Santanu Ghosh is an SAP analytics practitioner working as a consultant for the past 15 years in the data warehouse space. He has worked with SAP Business Warehouse, SAP HANA, SAP BusinessObjects BI, and SAP Analytics Cloud. Recently, he has been working with the SAP Data Intelligence platform, delivering customer use cases and business content for the automotive industry. Santanu is a data science and machine learning enthusiast, and is pursuing a degree in data science. He has worked on multiple predictive analytics and machine learning projects over the past four years, for a variety of industries, leveraging SAP Data Intelligence, SAP Predictive Analytics, SAP HANA Predictive Analysis Library, and SAP HANA Automated Predictive Library. He is also experienced in programming using Python and R languages.

Snehasish Ghosh is an enterprise information management consultant at IBM with more than 13 years of experience working with SAP’s analytics and information management product portfolio. He has extensive experience in data integration and migration, data quality, and reporting. He has implemented a variety of SAP and non-SAP solutions, including SAP S/4HANA, SAP Business Warehouse, Amazon Web Services, and Salesforce. He has also worked with SAP enterprise information management solutions, including SAP Data Intelligence, SAP Information Steward, SAP Data Services, and SAP HANA smart data integration and smart data quality.|Arindom Saha is an SAP business intelligence consultant with more than 11 years of experience working with the SAP analytics portfolio. He has extensive experience in SAP and non-SAP reporting and visualization products. He has implemented a variety of analytics solutions on different products, including SAP BusinessObjects BI, SAP HANA, SAP Business Warehouse, and Oracle RDBMS. He also has experience working with SAP Lumira, SAP Analytics Cloud, SAP Data Intelligence, and Tableau. His recent experience with SAP Data Intelligence has been contributing business content and working closely with cloud and on-premise providers to install and provision SAP Data Intelligence 3.1 as part of ongoing global initiatives.

"About this title" may belong to another edition of this title.

Store Description

Online Buchhandel

Visit Seller's Storefront

Seller's business information

Rheinberg-Buch Andreas Meier eK
Germany

Sale & Shipping Terms

Terms of Sale

Allgemeine Gesch�ftsbedingungen mit Kundeninformationen
Inhaltsverzeichnis
Geltungsbereich
Vertragsschluss
Widerrufsrecht
Preise und Zahlungsbedingungen
Liefer- und Versandbedingungen
Eigentumsvorbehalt
M�ngelhaftung
Anwendbares Recht
Gerichtsstand
Alternative Streitbeilegung

Geltungsbereich
1.1 Diese Allgemeinen Gesch�ftsbedingungen (nachfolgend "AGB") des Rheinberg-Buch Inh. Andreas Meier e.K. (nachfolgend "Verk�ufer"), gelten f�r alle Vertr�ge, die ein Verbraucher oder Unternehmer (nachfolgen...

More Information

Right of withdrawal

If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.

Information regarding the right of withdrawal

Statutory right to withdraw

You have the right to withdraw from this contract within 14 days without giving any reason.

The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.

To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.

To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.

Effects of withdrawal

If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).

We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.

We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.

We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.

We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.

You shall send back the goods or hand them over to Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany, +49 02204-9671181, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.

Exceptions to the right of withdrawal

The right of withdrawal does not apply to:

The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.

Shipping Terms

Der Versand ins Ausland findet IMMER mit DHL statt. Auch nach �sterreich verschicken wir nur mit DHL! Daher Standardversand == Luftpost!

Shipping rates from Germany to U.S.A.

Shipping rates from Germany to U.S.A.
Order quantity	5 to 15 business days	2 to 4 business days
First item	� 19.82	� 31.01

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Detailed Seller Information