ORACLE PL/SQLInterview Questions You'll Most Likely Be Asked is arguably the future for enterprise information systems. Corporations, both large and small, are looking for resources who know their job in depth. ORACLE PL/SQL Interview Questions You'll Most Likely Be Asked is a perfect companion to stand a head above the rest in today's competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build a career as a ORACLE PL/SQL Professional. If you think this book just covers important topics in brief, then you are mistaken It covers questions those are based on project knowledge and experience gained on successful high-profile ORACLE implementers. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer.
Includes:
(a) 261 ORACLE PL/SQL Interview Questions, Answers and Proven Strategies for getting hired as an ORACLE PL/SQL Professional
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(d) 2 Aptitude Tests included on the CD-ROM
Автор: Bhansali, Neera Название: Strategic Data Warehousing ISBN: 0367385341 ISBN-13(EAN): 9780367385347 Издательство: Taylor&Francis Рейтинг: Цена: 60220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Organization of data warehouses is a vital, but often neglected, aspect of growing an enterprise. Unlike most books on the subject that focus on either the technical aspects of building data warehouses or on business strategies, this valuable reference synthesizes technological know-how with managerial best practices to show how improved alignment between data warehouse plans and business strategies can lead to successful data warehouse adoption capable of supporting an enterprise's entire infrastructure.
Strategic Data Warehousing: Achieving Alignment with Business provides data warehouse developers, business managers, and IT professionals and administrators with an integrated approach to achieving successful and sustainable alignment of data warehouses and business goals. More complete than any other text in the field, this comprehensive reference details the joint roles and responsibilities of the data warehouse and business managers in achieving strategic alignment, business user satisfaction, technical integration, and improved flexibility.
Complete with case studies that depict real-world scenarios, the text:
Examines the organizational, user, data, and technological factors proven to promote successful data warehousing
Includes actionable solutions for achieving strategic alignment
Provides a model that readers can apply in aligning their own data warehouse needs and business goals
Achieving sustainable alignment between the data warehouse and business strategies is a continuous process. Armed with this valuable reference, readers will be able to gain the solid understanding of the organizational, technical, data, and user factors needed to promote a successful data warehouse adoption and become active partners in leveraging this powerful, but often overlooked, information reso
Автор: Susan Walsh Название: Between the Spreadsheets: Classifying and Fixing Dirty Data ISBN: 1783305037 ISBN-13(EAN): 9781783305032 Издательство: Facet Рейтинг: Цена: 52080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: `Almost anyone can improve the quality of their data using this book as a prompt/guide`- Customer Insight Leader
Автор: Mustapha Akinkunmi Название: Data Mining and Market Intelligence: Implications for Decision Making ISBN: 168173320X ISBN-13(EAN): 9781681733203 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 72070.00 T Наличие на складе: Невозможна поставка. Описание: This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining.Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.
Автор: Mustapha Akinkunmi Название: Data Mining and Market Intelligence: Implications for Decision Making ISBN: 1681733226 ISBN-13(EAN): 9781681733227 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 92400.00 T Наличие на складе: Невозможна поставка. Описание: This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining.Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.
Автор: Cox, Andrew Verbaan, Eddy Название: Exploring research data management ISBN: 178330278X ISBN-13(EAN): 9781783302789 Издательство: Facet Рейтинг: Цена: 88000.00 T Наличие на складе: Невозможна поставка. Описание: Exploring Research Data Management is an accessible introduction to RDM with engaging tasks for the reader to follow and build their knowledge. It will be useful reading for all students studying librarianship and information management.
Автор: Cox, Andrew Verbaan, Eddy Название: Exploring research data management ISBN: 1783302798 ISBN-13(EAN): 9781783302796 Издательство: Facet Рейтинг: Цена: 176000.00 T Наличие на складе: Невозможна поставка. Описание: Exploring Research Data Management is an accessible introduction to RDM with engaging tasks for the reader to follow and build their knowledge. It will be useful reading for all students studying librarianship and information management.
Автор: Date Chris Название: E. F. Codd and Relational Theory, Revised Edition ISBN: 1634629280 ISBN-13(EAN): 9781634629287 Издательство: Gazelle Book Services Рейтинг: Цена: 36740.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: E. F. Codds relational model of data has been described as one of the three greatest inventions of all time (the other two being agriculture and the scientific method), and his receipt of the 1981 ACM Turing Award, the top award in computer science, for inventing it was thoroughly deserved. The papers in which Codd first described his model were staggering in their originality; they had, and continue to have, a huge impact on just about every aspect of the way we do business in the world today. And yet few people, even in the professional database community, are truly familiar with those papers. This booka thorough overhaul and rewrite of an earlier book by the same nameis an attempt to remedy this sorry state of affairs. In it, well known author C. J. Date provides a detailed examination of all of Codds major database publications, explaining the nature of his contribution in depth, and in particular highlighting not only the many things he got right but also some of the things he got wrong. Database theory and practice have evolved considerably since Codd first defined his relational model, back in 1969. This book draws on decades of experience to present the most up to date treatment of the material possible. Anyone with a professional interest in databases can benefit from the insights it contains. The book is product independent.
Автор: Jeff Harris, Steve Hoberman Название: Data Modeling Made Simple with erwin DM ISBN: 1634628446 ISBN-13(EAN): 9781634628440 Издательство: Gazelle Book Services Рейтинг: Цена: 117250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Master erwin DM to deliver robust and precise designs for both operationaland analytical projects. Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, businessanalysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model,transposing those logical modeling objects into physical tables and columns, and evengenerating the implementation database scripts.This book contains seven parts. Part I provices a foundation in data medling and Part II a foundatin in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules and subject areas, along with how to implement them using erwin DM. Part V ecplains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Decome confident creating tables, columns, indexes and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complere compare, report designer and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog and erwin Data Literacy.
Автор: Brackett Michael Название: Data Resource Guide: Managing the Data Resource Data ISBN: 163462100X ISBN-13(EAN): 9781634621007 Издательство: Gazelle Book Services Рейтинг: Цена: 58610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Are you struggling to find the data that you need to support your business activities? Are you concerned that people may be using the wrong data for their business activities? Are you having difficulty understanding the data that you do find in your data resource? Are you frustrated over documenting that understanding in a manner that is readily accessible to anyone in the organisation? If the answer to any of these questions is Yes, then you need to read "Data Resource Guide" to help identify, understand, access, and use the appropriate data. Most public and private sector organisations today have no formal, single location for the complete documentation of their data resource that is readily available to everyone in the organisation. Many organisations do not even have a concept of how to design, develop, or manage a single repository containing an understanding all the data available to the organisation. Yet they are staking their business on those data. "Data Resource Data" provided the complete data resource model for an organisations Data Resource Data. Data Resource Understanding provided a detailed description of how to thoroughly understand an organisations data resource through those Data Resource Data. Now, "Data Resource Guide" provides the detailed specifications for developing a simple, inexpensive, and effective way to document the data resource understanding and make that understanding readily available to anyone in the organisation. Michael Brackett draws on over half a century of data management experience to complete two trilogies for formally managing an organisations data as a critical resource. The Data Architecture Trilogy describes the development of a single organisation wide data architecture for an organization. The Data Understanding Trilogy describes the acquisition and documentation of understanding about all the data at an organisations disposal.
Автор: Ralph Hughes Название: Agile Data Warehousing for the Enterprise ISBN: 0123964644 ISBN-13(EAN): 9780123964649 Издательство: Elsevier Science Рейтинг: Цена: 41530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines:
Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked.
Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs.
Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines.
Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way.
Learn how to quickly define scope and architecture before programming starts
Includes techniques of process and data engineering that enable iterative and incremental delivery
Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing
Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges
Use the provided 120-day road map to establish a robust, agile data warehousing program
Автор: Taniar David, Rahayu Wenny Название: Emerging Perspectives in Big Data Warehousing ISBN: 1522555161 ISBN-13(EAN): 9781522555162 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 239310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.
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