SAP Data Warehouse Cloud

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Author :
Publisher : Espresso Tutorials GmbH
ISBN 13 : 3960120737
Total Pages : 249 pages
Book Rating : 4.9/5 (61 download)

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Book Synopsis SAP Data Warehouse Cloud by : Klaus-Peter Sauer

Download or read book SAP Data Warehouse Cloud written by Klaus-Peter Sauer and published by Espresso Tutorials GmbH. This book was released on 2021-09-01 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lernen Sie die Vorzüge von SAP Data Warehouse Cloud (DWC) kennen: Von der Datenbewirtschaftung bis zur Visualisierung sind alle notwendigen Werkzeuge für den Aufbau einer modernen und cloudbasierten Data-Warehouse-Landschaft enthalten. Selbst hybride Architekturen sind ohne Probleme möglich. Fachabteilungen erfahren, wie sie über virtuelle Arbeitsbereiche (Spaces) die zentralen Unternehmensdaten ohne Datenkopien oder Dateidownloads mit ihren lokalen Daten anreichern. Zusätzlich schaffen Sie es mit generierten Kennzahlen, neue Erkenntnisse zu gewinnen und mit anderen zu teilen. Insbesondere für IT-Mitarbeiter erfolgt eine ausführliche Einführung in die Modellierung und den Data Builder. Mit dessen Editoren und Funktionalitäten lernen Sie die technische Umsetzung der Datenmodellierung genauer kennen. Ergänzend dazu bietet der Business Builder dem Fachanwender eine vereinfachte Analyse von Daten, indem der Zeitaufwand für die semantische Modellierung und Anreicherung von Daten verringert wurde. Nach wichtigen Aspekten zur Konfiguration und Sicherheit von SAP Data Warehouse Cloud wirft der Autor noch einen Blick auf die in Zukunft zu erwartenden Entwicklungen für diese hochdynamische Thematik. - Grundlagen zu SAP Data Warehouse Cloud - Virtuelles Zusammenspiel von Fachbereich und IT über Spaces - Trennung von semantischer Modellierung und Data Layer - Hybride Landschaften mit vorhandenen Systemen

A Practical Guide to SAP Data Warehouse Cloud

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Author :
Publisher : Espresso Tutorials GmbH
ISBN 13 : 3960121261
Total Pages : 279 pages
Book Rating : 4.9/5 (61 download)

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Book Synopsis A Practical Guide to SAP Data Warehouse Cloud by : Klaus-Peter Sauer

Download or read book A Practical Guide to SAP Data Warehouse Cloud written by Klaus-Peter Sauer and published by Espresso Tutorials GmbH. This book was released on 2022-07-28 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about the advantages of SAP Data Warehouse Cloud (DWC): from data management all the way through to visualization, this book covers all the tools you need to set up a modern, cloud-based data warehouse landscape. You can even set up hybrid architectures or convert on-premise SAP BW systems to the SAP BW Bridge. Operating departments will learn how they can use virtual work areas (spaces) to enrich central corporate data with local data without having to copy data or download files. New findings can be easily shared with others. For IT employees in particular, there is an extensive introduction to modeling and the Data Builder. With the editors and functionalities of this tool, you get to know the technical implementation of data modeling in more detail. In addition, the Business Builder offers professional users a simplified analysis of data by reducing the time required for semantic modeling and enrichment of data. After discussing important aspects of the configuration and security of SAP Data Warehouse Cloud, the author looks at the developments that can be expected for this highly dynamic topic in the future. - Basic principles of SAP Data Warehouse Cloud - Virtual interaction between operating departments and IT via spaces - Separation of semantic modeling and the data layer - SAP BW Bridge and Hybrid landscapes

Data Warehousing For Dummies

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0470482923
Total Pages : 511 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Data Warehousing For Dummies by : Thomas C. Hammergren

Download or read book Data Warehousing For Dummies written by Thomas C. Hammergren and published by John Wiley & Sons. This book was released on 2009-04-13 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!

Rise of the Data Cloud

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Author :
Publisher : AuthorHouse
ISBN 13 : 1728373069
Total Pages : 200 pages
Book Rating : 4.7/5 (283 download)

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Book Synopsis Rise of the Data Cloud by : Frank Slootman

Download or read book Rise of the Data Cloud written by Frank Slootman and published by AuthorHouse. This book was released on 2020-12-18 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of the Data Cloud is ushering in a new era of computing. The world’s digital data is mass migrating to the cloud, where it can be more effectively integrated, managed, and mobilized. The data cloud eliminates data siloes and enables data sharing with business partners, capitalizing on data network effects. It democratizes data analytics, making the most sophisticated data science tools accessible to organizations of all sizes. Data exchanges enable businesses to discover, explore, and easily purchase or sell data—opening up new revenue streams. Business leaders have long dreamed of data driving their organizations. Now, thanks to the Data Cloud, nothing stands in their way.

The Box

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Publisher : Princeton University Press
ISBN 13 : 0691170819
Total Pages : 540 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis The Box by : Marc Levinson

Download or read book The Box written by Marc Levinson and published by Princeton University Press. This book was released on 2016-04-05 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: In April 1956, a refitted oil tanker carried fifty-eight shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that reshaped manufacturing. But the container didn't just happen. Its adoption required huge sums of money, years of high-stakes bargaining, and delicate negotiation on standards. Now with a new chapter, The Box tells the dramatic story of how the drive and imagination of an iconoclastic entrepreneur turned containerization from an impractical idea into a phenomenon that transformed economic geography, slashed transportation costs, and made the boom in global trade possible. -- from back cover.

The Data Warehouse Toolkit

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118082141
Total Pages : 464 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis The Data Warehouse Toolkit by : Ralph Kimball

Download or read book The Data Warehouse Toolkit written by Ralph Kimball and published by John Wiley & Sons. This book was released on 2011-08-08 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.

SAP HANA 2.0

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Author :
Publisher : SAP PRESS
ISBN 13 : 9781493218387
Total Pages : 438 pages
Book Rating : 4.2/5 (183 download)

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Book Synopsis SAP HANA 2.0 by : Denys Van Kempen

Download or read book SAP HANA 2.0 written by Denys Van Kempen and published by SAP PRESS. This book was released on 2019 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Modern Data Warehouse in Azure

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Author :
Publisher : Apress
ISBN 13 : 1484258231
Total Pages : 297 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis The Modern Data Warehouse in Azure by : Matt How

Download or read book The Modern Data Warehouse in Azure written by Matt How and published by Apress. This book was released on 2020-06-15 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast—fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. What You Will LearnChoose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestionCreate advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse Who This Book Is For Data warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledge

Cloud Data Warehousing Volume II

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Author :
Publisher :
ISBN 13 : 9781634623964
Total Pages : 0 pages
Book Rating : 4.6/5 (239 download)

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Book Synopsis Cloud Data Warehousing Volume II by : Barry Devlin

Download or read book Cloud Data Warehousing Volume II written by Barry Devlin and published by . This book was released on 2024-05-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about randomness including key metrics such as entropy and ectropy, about uncertainty and its relationship to data science and artificial intelligence (AI), and about complex systems and their dependencies and benefits. We will also explore a variety of related applications including modern machine learning (ML) systems, modern AI, dimensionality reduction, and cybersecurity. Insightful questions asked throughout the video will be used to reinforce concepts and techniques. Here is a link to all of Zacharias Voulgaris' machine learning, data science, and artificial intelligence (AI) videos.

Data Warehouse Cloud

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Author :
Publisher : Espresso Tutorials Gmbh
ISBN 13 : 9783960121275
Total Pages : 0 pages
Book Rating : 4.1/5 (212 download)

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Book Synopsis Data Warehouse Cloud by : Klaus-Peter Sauer

Download or read book Data Warehouse Cloud written by Klaus-Peter Sauer and published by Espresso Tutorials Gmbh. This book was released on 2022-07-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about the advantages of SAP Data Warehouse Cloud (DWC): from data management all the way through to visualization, this book covers all the tools you need to set up a modern, cloud-based data warehouse landscape. You can even set up hybrid architectures or convert on-premise SAP BW systems to the SAP BW Bridge. Operating departments will learn how they can use virtual work areas (spaces) to enrich central corporate data with local data without having to copy data or download files. New findings can be easily shared with others. For IT employees in particular, there is an extensive introduction to modeling and the Data Builder. With the editors and functionalities of this tool, you get to know the technical implementation of data modeling in more detail. In addition, the Business Builder offers professional users a simplified analysis of data by reducing the time required for semantic modeling and enrichment of data. After discussing important aspects of the configuration and security of SAP Data Warehouse Cloud, the author looks at the developments that can be expected for this highly dynamic topic in the future. Basic principles of SAP Data Warehouse Cloud Virtual interaction between operating departments and IT via spaces Separation of semantic modeling and the data layer SAP BW Bridge and Hybrid landscapes

SAP S/4HANA Embedded Analytics

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Author :
Publisher : SAP PRESS
ISBN 13 : 9781493220502
Total Pages : 432 pages
Book Rating : 4.2/5 (25 download)

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Book Synopsis SAP S/4HANA Embedded Analytics by : Jürgen Butsmann

Download or read book SAP S/4HANA Embedded Analytics written by Jürgen Butsmann and published by SAP PRESS. This book was released on 2021 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Pipelines Pocket Reference

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Author :
Publisher : O'Reilly Media
ISBN 13 : 1492087807
Total Pages : 277 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Pipelines Pocket Reference by : James Densmore

Download or read book Data Pipelines Pocket Reference written by James Densmore and published by O'Reilly Media. This book was released on 2021-02-10 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting

Architecting a Modern Data Warehouse for Large Enterprises

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Author :
Publisher : Apress
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (688 download)

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Book Synopsis Architecting a Modern Data Warehouse for Large Enterprises by : Anjani Kumar

Download or read book Architecting a Modern Data Warehouse for Large Enterprises written by Anjani Kumar and published by Apress. This book was released on 2024-01-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution. The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines. What You Will Learn Understand the core concepts underlying modern data warehouses Design and build cloud-native data warehouses Gain a practical approach to architecting and building data warehouses on Azure and AWS Implement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and Lakehouse Process data through pandas and evaluate your model’s performance using metrics such as F1-score, precision, and recall Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications Who This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS

Designing Cloud Data Platforms

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Author :
Publisher : Simon and Schuster
ISBN 13 : 1617296449
Total Pages : 334 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Designing Cloud Data Platforms by : Danil Zburivsky

Download or read book Designing Cloud Data Platforms written by Danil Zburivsky and published by Simon and Schuster. This book was released on 2021-04-20 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you''ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You''ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technology Access to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization''s data, and present it as useful business insights. about the book In Designing Cloud Data Platforms, you''ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you''ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you''ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what''s inside The tools of different public cloud for implementing data platforms Best practices for managing structured and unstructured data sets Machine learning tools that can be used on top of the cloud Cost optimization techniques about the reader For data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.

SAP Bw/4hana 2.0

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Author :
Publisher : SAP PRESS
ISBN 13 : 9781493216352
Total Pages : 700 pages
Book Rating : 4.2/5 (163 download)

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Book Synopsis SAP Bw/4hana 2.0 by : Thorsten Lüdtke

Download or read book SAP Bw/4hana 2.0 written by Thorsten Lüdtke and published by SAP PRESS. This book was released on 2021-01-26 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ready for SAP BW/4HANA 2.0? This comprehensive guide will teach you all there is to know about the next generation business warehouse from SAP! Start with a fresh installation or migrate from an existing system. Then understand the new architecture, explore administration tasks with SAP HANA Studio, learn to model and analyze data, and find out how to connect to frontend BI tools"--

Data Warehousing in the Age of Big Data

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Author :
Publisher : Newnes
ISBN 13 : 0124059201
Total Pages : 371 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Data Warehousing in the Age of Big Data by : Krish Krishnan

Download or read book Data Warehousing in the Age of Big Data written by Krish Krishnan and published by Newnes. This book was released on 2013-05-02 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. - Learn how to leverage Big Data by effectively integrating it into your data warehouse. - Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies - Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Cloud Data Warehousing Fd, Snowflake Special Edition (Custom)

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Author :
Publisher : For Dummies
ISBN 13 : 9781119351924
Total Pages : 48 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Cloud Data Warehousing Fd, Snowflake Special Edition (Custom) by : Joseph Kraynak

Download or read book Cloud Data Warehousing Fd, Snowflake Special Edition (Custom) written by Joseph Kraynak and published by For Dummies. This book was released on 2016-11-22 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: