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
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: Onwubolu Godfrey C Название: Gmdh-Methodology And Implementation In Matlab ISBN: 1783266120 ISBN-13(EAN): 9781783266128 Издательство: World Scientific Publishing Рейтинг: Цена: 95040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization.
Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Internet connectivity, concerns about denial of service attacks, computer viruses and worms are extremely important.
Data Warehousing and Data Mining Techniques for Cyber Security contributes to the discipline of security informatics. The author discusses topics that intersect cyber security and data mining, while providing techniques for improving cyber security. Since the cost of information processing and internet accessibility is dropping, an increasing number of organizations are becoming vulnerable to cyber attacks. This volume introduces techniques for applications in the area of retail, finance, and bioinformatics, to name a few.
Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.
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: Parteek Bhatia Название: Data Mining and Data Warehousing: Principles and Practical Techniques ISBN: 1108727743 ISBN-13(EAN): 9781108727747 Издательство: Cambridge Academ Рейтинг: Цена: 71810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook gives an in-depth discussion of basic principles and practical techniques of data mining and data warehousing. Theoretical concepts are discussed in detail with the help of practical examples. It covers data mining tools and language such as Weka and R language.
Автор: Moss Larissa Название: Extreme Scoping ISBN: 1935504533 ISBN-13(EAN): 9781935504535 Издательство: Gazelle Book Services Рейтинг: Цена: 72910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Do your business intelligence (BI) projects take too long to deliver? Is the value of the deliverables less than satisfactory? Do these projects propagate poor data management practices? If you screamed "yes" to any of these questions, read this book to master a proven approach to building your enterprise data warehouse and BI initiatives. "Extreme Scoping", based on the Business Intelligence Roadmap, will show you how to build analytics applications rapidly yet not sacrifice data management and enterprise architecture. In addition, all of the roles required to deliver all seven steps of this agile methodology are explained along with many real-world examples. From Wayne Eckersons Foreword -- Ive read many books about data warehousing and business intelligence (BI). This book by Larissa Moss is one of the best. I should not be surprised. Larissa has spent years refining the craft of designing, building, and delivering BI applications. Over the years, she has developed a keen insight about what works and doesnt work in BI. This book brings to light the wealth of that development experience. Best of all, this is not some dry text that laboriously steps readers through a technical methodology. Larissa expresses her ideas in a clear, concise, and persuasive manner. I highlighted so many beautifully written and insightful paragraphs in her manuscript that it became comical. I desperately wanted the final, published book rather than the manuscript so I could dog-ear it to death and place it front-and-center in my office bookshelf! From David Wells Foreword : Extreme Scoping is rich with advice and guidance for virtually every aspect of BI projects from planning and requirements to deployment and from back-end data management to front-end information and analytics services. Larissa is both a pragmatist and an independent thinker. Those qualities come through in the style of this book. This is a well-written book that is easy to absorb. It is not full of surprises. It is filled with a lot of common sense and lessons learned through experience.
Автор: Sonali Agarwal, M.D. Tiwari, Iti Tiwari Название: E Governance Data Center, Data Warehousing and Data Mining: Vision to Realities ISBN: 8792982727 ISBN-13(EAN): 9788792982728 Издательство: Taylor&Francis Рейтинг: Цена: 107190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: India is showing an incredibly strong appearance in the Information Technology (IT) sector worldwide, but the benefits of an IT revolution have not actually percolated into the everyday life of the common man, particularly in rural areas. The National E Governance Plan is a major initiative of the Government of India, the first time under which a concerted effort is being made to bring IT to the masses in areas of concern. It aims to make services available online, ensuring that all citizens would have access to them, thereby improving the quality of basic governance on an unprecedented scale.
This book attempts to disseminate information about several E Governance projects and possible Data Mining benefits which are the future of good governance in India. Strategic Management of these projects through Data Mining would certainly encourage policy makers to understand better models of E Governance, thorough evaluation of projects, perceptive interrelations between projects and keeping track of the objectives and outcomes. It would also develop a more collaborative approach towards implementation of the National E Governance Plan. This revolutionary approach will help the government assess the upcoming requirements and developing competencies for further project management, thereby making a difference in the lives of millions. It will help innovators discover optimum solutions to achieve the end objectives of E Governance.
Technical topics discussed in the book include: - E Governance - Fundamental of Data, Data Warehousing, Data Mining, E Governance - World Wide Status of E Governance - Status of E Governance projects in India - E Governance Data Management Framework - E Governance Data Center - Perspective Application of Data Warehousing and Data Mining in E Governance - Case Studies on Education and Health Data Mining - E Governance Data Mining Applications in Various Government Departments, Public Sector, Private Sector - SWOT and PESTLE Analysis for Data Warehousing, Data Mining, E Governance
Data Warehousing and Data Mining are related technologies which have seen a significant boost in the last decades, to the point that many of their concepts and techniques have reached a significant level of maturity. They are applied today in most fields of human activity, from commercial to scientific or industrial areas. Today, decision support, data mining, trend analysis, and pattern discovery have a large impact on businesses and science alike. Given this evolution, it is important to understand the potential advantages of Data Mining and Data Warehousing and their positive effects on E Governance applications.
E Governance Data Center, Data Warehousing and Data Mining: Vision to Realities is useful for students, application developers, government officials, policy makers, and researchers involved in E Governance and Data Mining Applications. This book presents an overall picture of the E Governance Data Mining applications, including Data Management Framework, Data Center, and Data Warehousing applications along with possible research directions. An important motivation for writing this book was the need to build an organized framework for E Governance using Data Mining--a challenging task, owing to the extensive multidisciplinary nature of this fastdeveloping field. We hope that this book will encourage people with different backgrounds and experiences to exchange their views regarding Data Mining applications in E Governance so as to contribute toward the establishment of good governance for the developed society.
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.
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