Автор: Vibrant Publishers Название: Oracle pl/sql interview questions you`ll most likely be asked ISBN: 1946383112 ISBN-13(EAN): 9781946383112 Издательство: Gazelle Book Services Рейтинг: Цена: 3903.00 р. 5575.00-30% Наличие на складе: Есть (1 шт.) Описание:
261 ORACLE PL/SQL Interview Questions
Dozens of examples
77 HR Questions with Answers
2 Aptitude Tests
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
(b) Dozens of examples to respond to interview questions
(c) 77 HR Questions with Answers and Proven strategies to give specific, impressive, answers that help nail the interviews
(d) 2 Aptitude Tests included on the CD-ROM
Автор: Ralph Hughes Название: Agile Data Warehousing for the Enterprise ISBN: 0123964644 ISBN-13(EAN): 9780123964649 Издательство: Elsevier Science Рейтинг: Цена: 6230.00 р. 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
Описание: Data science has a huge impact on how companies conduct business, and those who don`t learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.
Автор: Hu & Kaabouch Название: Big Data Management, Technologies, And Applications ISBN: 1466646993 ISBN-13(EAN): 9781466646995 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.
Автор: Date Chris Название: E. F. Codd and Relational Theory, Revised Edition ISBN: 1634629280 ISBN-13(EAN): 9781634629287 Издательство: Gazelle Book Services Рейтинг: Цена: 5511.00 р. 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: Inmon Bill, Srivastava Ranjeet Название: The Textual Warehouse ISBN: 163462954X ISBN-13(EAN): 9781634629546 Издательство: Gazelle Book Services Рейтинг: Цена: 3442.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Build a Textual Warehouse to help your organization understand and analyze documents through text analytics (both sentiment and non-sentiment analysis), to make better business decisions.
Learn the important role of documents and text within your organization, the difference between identifying and qualifying text, and when you need document preprocessing. Appreciate the power of taxonomies and the necessity of textual ETL. Know how the textual warehouse architecture differs from the conventional data warehouse architecture and when to apply contextualization and textual disambiguation.
About Bill
Bill Inmon, the "father of the data warehouse," has written 60 books published in nine languages. ComputerWorld named Bill one of the ten most influential people in the history of the computer profession. Bill's latest adventure is the building of technology known as textual disambiguation.
About Ranjeet
Ranjeet Srivastava is a data management professional and an enterprise architect with more than 20 years in enterprise product research, development, and design of data-intensive mission-critical applications.
Описание: Are you struggling with a disparate data resource? Are there multiple existences of the same business fact scattered throughout the data resource? Are those multiple existences out of synch with each other? Do you have difficulty finding the data you need to support business activities? Do the data you find have poor quality? If the answer to any of these questions is Yes, then you need this book to guide you toward creating an integrated data resource. Most public and private sector organisations have a disparate data resource that was created over many years. That disparate data resource contains multiple existences of business facts that are out of synch with each other, are of poor quality, and are difficult to locate. The traditional approach to dealing with a disparate data resource is to perform periodic and temporary data integration to support a specific application or business activity. Those piecemeal data integration efforts may meet a current need, but seldom solve the underlying problems with a disparate data resource, and sometimes make the situation worse. This book explains how to go about understanding and resolving a disparate data resource and creating a comparate data resource that fully meets an organisations current and future business information demand. It builds on "Data Resource Simplexity", which described how to stop the burgeoning data disparity. It explains the concepts, principles, and techniques for understanding a disparate data resource within the context of a common data architecture, and resolving that disparity with minimum impact on the business. Like "Data Resource Simplexity", Michael Brackett draws on five decades of data management experience building and managing data resources, and resolving disparate data resources in both public and private sector organisations. He leverages theories, concepts, principles, and techniques from a wide variety of disciplines, such as human dynamics, mathematics, physics, chemistry, and biology, and applies them to the process of understanding and resolving a disparate data resource. He shows you how to approach and resolve a disparate data resource, and build a comparate data resource that fully supports the business.
Автор: Khandelwal Abhinav, Bhamidipati Rajsekhar Название: Teradata Cookbook ISBN: 1787280780 ISBN-13(EAN): 9781787280786 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Teradata, unlike other relational database management systems, is mainly popular because of its faster analytical processing and storage capabilities. This book unveils all the functionality offered by Teradata`s analytical platform with the help of practical recipes. From installation to querying, indexing to loading utilities for analytical ...
Автор: Ralph Hughes Название: Agile Data Warehousing Project Management, ISBN: 0123964636 ISBN-13(EAN): 9780123964632 Издательство: Elsevier Science Рейтинг: Цена: 6230.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an introduction to the method as you would practice it in the project room to build a data mart. This title helps to prepare you to join or lead a team in visualizing, building, and validating a single component to an enterprise data warehouse. It includes strategies for getting actionable requirements from a team`s business partner.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Автор: Taniar David, Rahayu Wenny Название: Emerging Perspectives in Big Data Warehousing ISBN: 1522555161 ISBN-13(EAN): 9781522555162 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35897.00 р. 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.
Описание: Organizations invest incredible amounts of time and money obtaining and then storing big data in data stores called data lakes. But how many of these organizations can actually get the data back out in a useable form? Very few can turn the data lake into an information gold mine. Most wind up with garbage dumps. Data Lake Architecture will explain how to build a useful data lake, where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess. Bill Inmon opened our eyes to the architecture and benefits of a data warehouse, and now he takes us to the next level of data lake architecture.
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