Smarter Data Science: Succeeding with Enterprise–Grade Data and AI Projects, Neal Fishman, Cole Stryker
Автор: Ma Yun, Du Hao Название: Enterprise Data at Huawei: Methods and Practices of Enterprise Data Governance ISBN: 9811668221 ISBN-13(EAN): 9789811668227 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book systematically introduces the data governance and digital transformation at Huawei, from the perspectives of technology, process, management, and so on.
Автор: David Wood Название: Linking Enterprise Data ISBN: 1489981705 ISBN-13(EAN): 9781489981707 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book methods for applying World Wide Web architecture principles to real-world information management issues faced by commercial, nonprofit and government enterprises. Coverage includes real-world success stories from early enterprise adopters.
Автор: Strengholt Piethein Название: Data Management at Scale: Best Practices for Enterprise Architecture ISBN: 149205478X ISBN-13(EAN): 9781492054788 Издательство: Wiley Рейтинг: Цена: 67570.00 T Наличие на складе: Нет в наличии. Описание: With this practical book, you`ll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption.
Автор: Matignon Название: Data Mining Using SAS Enterprise Miner ISBN: 0470149019 ISBN-13(EAN): 9780470149010 Издательство: Wiley Рейтинг: Цена: 123500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Mining Using SAS(r) Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS(r) Enterprise Miner. This first-of-a-kind book explains the purpose of -- and reasoning behind -- every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis.
Автор: Foss Greg, Modderman Paul Название: Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data ISBN: 1492046442 ISBN-13(EAN): 9781492046448 Издательство: Wiley Рейтинг: Цена: 47630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data.
Автор: Gupta Название: Practical Enterprise Data Lake Insights ISBN: 1484235215 ISBN-13(EAN): 9781484235218 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.
When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more.
Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point.
What You'll Learn
Get to know data lake architecture and design principlesImplement data capture and streaming strategiesImplement data processing strategies in HadoopUnderstand the data lake security framework and availability model
Who This Book Is For
Big data architects and solution architects
Автор: CODATA (The Committee on Data for Science and Tech Название: International Compendium of Numerical Data Projects ISBN: 3642871208 ISBN-13(EAN): 9783642871207 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Robert de Graaf Название: Managing Your Data Science Projects ISBN: 1484249062 ISBN-13(EAN): 9781484249062 Издательство: Springer Рейтинг: Цена: 26080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way.
The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models.
Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product’s intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career.
Who This Book Is For
Early-career data scientists, managers of data scientists, and those interested in entering the field of data science
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