Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things.
Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
New case studies include expanded coverage of textual management and analytics
New chapters on visualization and big data
Discussion of new visualizations of the end-state architecture
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:
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(d) 2 Aptitude Tests included on the CD-ROM
Автор: Inmon Bill Название: Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump ISBN: 1634621174 ISBN-13(EAN): 9781634621175 Издательство: Gazelle Book Services Рейтинг: Цена: 37170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
If you are looking to start a new career that is in high demand, then you need to continue reading.
Data scientists are changing the way big data is used in different institutions.
Big data is everywhere, but without the right person to interpret it, it means nothing.
So where do business find these people to help change their business?
You could be that person
It has become a universal truth that businesses are full of data.
With the use of big data, the US healthcare could reduce their health-care spending by $300 billion to $450 billion.
It can easily be seen that the value of big data lies in the analysis and processing of that data, and that's where data science comes in.
Data Science from Scratch includes:
In-depth information about what data science is and why it is important.
The prerequisites you will need to get started in data science.
What it means to be a data scientist.
The roles that hacking and coding play in data science.
The different coding languages that can be used in data science.
Why python is so important.
How to use linear algebra and statistics.
The different applications for data science.
How to work with the data through munging, cleaning, and more.
And much more
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
As businesses and the internet change, so will data science. This means it's important to be flexible.
When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in?
If you want to get started in a new, ever-growing, career, don't wait any longer and get this book today.
Автор: Gopalan, Rukmani Название: Cloud data lake ISBN: 1098116585 ISBN-13(EAN): 9781098116583 Издательство: Wiley Рейтинг: Цена: 55960.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance.
Автор: Knifton, Dave Название: Data model toolkit ISBN: 1782224734 ISBN-13(EAN): 9781782224730 Издательство: Неизвестно Рейтинг: Цена: 46580.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kimball, Ralph Ross, Margy (kimball Group) Thornthwaite, Warren (menlo Park, Ca) Mundy, Joy (menlo Park, Ca) Becker, Bob (kimball Group) Caserta, Joe Название: Kimball`s data warehouse toolkit classics, 3 volume set ISBN: 1118875184 ISBN-13(EAN): 9781118875186 Издательство: Wiley Рейтинг: Цена: 116160.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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
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: Murugarajan Soundarapandian Название: Oracle Data Integrator 12c Developer Jump Start Guide ISBN: 1478743409 ISBN-13(EAN): 9781478743408 Издательство: Неизвестно Рейтинг: Цена: 43170.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Macey Tobias Название: 97 Things Every Data Engineer Should Know ISBN: 1492062413 ISBN-13(EAN): 9781492062417 Издательство: Wiley Рейтинг: Цена: 42230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, StitchFix, Microsoft and Capital One share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.
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