Building Big


Building Big
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Building Big


Building Big
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Author : David Macaulay
language : en
Publisher: HarperCollins
Release Date : 2004-05-10

Building Big written by David Macaulay and has been published by HarperCollins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-10 with Young Adult Nonfiction categories.


Why this shape and not that? Why steel instead of concrete or stone? Why put it here and not over there? These are the kinds of questions that David Macaulay asks himself when he observes an architectural wonder. These questions take him back to the basic process of design from which all structures begin, from the realization of a need for the structure to the struggles of the engineers and designers to map out and create the final construction. As only he can, David Macaulay engages readers’ imaginations and gets them thinking about structures they see and use every day — bridges, tunnels, skyscrapers, domes, and dams. In Building Big he focuses on the connections between the planning and design problems and the solutions that are finally reached. Whether a structure is imposing or inspiring, he shows us that common sense and logic play just as important a part in architecture as imagination and technology do. As always, Macaulay inspires readers of all ages to look at their world in a new way.



Building Big


Building Big
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Author :
language : en
Publisher:
Release Date : 2000

Building Big written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Architecture categories.


Companion Web site to the five-part PBS television miniseries on megastructures, hosted by David Macaulay. Provides information on: Bridges, Domes, Skyscrapers, Dams, and Tunnels, and, the engineers, architects, and builders who designed and built them. Site provides hands-on activities, information about the series, and, a wonders of the world databank.



Building Big


Building Big
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Author : Lead Author: N R Acharyulu Co-author & Editor: K V Prasad
language : en
Publisher: Notion Press
Release Date : 2022-06-10

Building Big written by Lead Author: N R Acharyulu Co-author & Editor: K V Prasad and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Technology & Engineering categories.


Building infrastructure projects can be complex and challenging. Building Big – Art of Passionately Delivering World Class Infrastructure Projects the HCC Way is a compilation of case studies and project experiences. The book can be used as a reference manual by professionals in the construction industry. It has twenty-one chapters and covers various sectors of the infrastructure – hydropower projects, tunnels, breakwater, water supply pipelines, nuclear reactors, etc. Each of these chapters explains the unique challenges encountered in these projects and uncovers with great detail – the methods and steps adopted to successfully deliver the mega infrastructure projects.



Building Big Data Applications


Building Big Data Applications
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Author : Krish Krishnan
language : en
Publisher: Academic Press
Release Date : 2019-11-15

Building Big Data Applications written by Krish Krishnan and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-15 with Computers categories.


Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.). Explores various ways to leverage Big Data by effectively integrating it into the data warehouse Includes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements



Building Big Bridges


Building Big Bridges
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Author : John Lockyer
language : en
Publisher: Flying Start Books
Release Date : 2021-04-30

Building Big Bridges written by John Lockyer and has been published by Flying Start Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-30 with Juvenile Nonfiction categories.


People have always wanted to move from one place to another, so they have built bridges. Some bridges are natural and some are built by people. What are bridges built over? Have you crossed a bridge today? What did it go over? How are bridges built?



Building Big Bridges Readaloud


Building Big Bridges Readaloud
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Author : John Lockyer
language : en
Publisher: Flying Start Books
Release Date : 2021-04-30

Building Big Bridges Readaloud written by John Lockyer and has been published by Flying Start Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-30 with Juvenile Nonfiction categories.


People have always wanted to move from one place to another, so they have built bridges. Some bridges are natural and some are built by people. What are bridges built over? Have you crossed a bridge today? What did it go over? How are bridges built?



Building Big Data And Analytics Solutions In The Cloud


Building Big Data And Analytics Solutions In The Cloud
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Author : Wei-Dong Zhu
language : en
Publisher: IBM Redbooks
Release Date : 2014-12-08

Building Big Data And Analytics Solutions In The Cloud written by Wei-Dong Zhu and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-08 with Computers categories.


Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.



Building Big Business In Russia


Building Big Business In Russia
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Author : Yuko Adachi
language : en
Publisher: Routledge
Release Date : 2013-09-05

Building Big Business In Russia written by Yuko Adachi and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-05 with Business & Economics categories.


This book examines the development of big business in Russia since the onset of market oriented reform in the early 1990s. It explains how privatized post-Soviet enterprises, many of which made little sense as business units, were transformed into functional firms able to operate in the environment of a market economy. It provides detailed case studies of three key companies – Yukos Oil Company, Siberian (Russian) Aluminium and Norilsk Nickel – all of which played a key role in Russia’s economic recovery after 1998, describing how these companies were created, run and have developed. It shows how Russian businesses during the 1990s routinely relied on practices not entirely compatible with formal rules, in particular in the area of corporate governance. The book fully explores the critical role played by informal corporate governance practices - such as share dilution, transfer pricing, asset stripping, limiting shareholders access to votes, and 'bankruptcy to order’ - as Russian big business developed during the 1990s. Unlike other studies on Russian corporate governance, this book highlights the ambiguous impact of informal corporate governance practices on the companies involved as commercial entities, and suggests that although their use proved costly to Russia’s business reputation, they helped core groups of owners/managers at the time to establish coherent business firms. Overall, the book shows that we cannot understand the nature of current economic changes in Russia without recognising the crucial role played by informal corporate governance practices in the creation and development of big business in post-Soviet Russia.



Building Big Data Pipelines With Apache Beam


Building Big Data Pipelines With Apache Beam
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Author : Jan Lukavsky
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-21

Building Big Data Pipelines With Apache Beam written by Jan Lukavsky and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-21 with Computers categories.


Implement, run, operate, and test data processing pipelines using Apache Beam Key FeaturesUnderstand how to improve usability and productivity when implementing Beam pipelinesLearn how to use stateful processing to implement complex use cases using Apache BeamImplement, test, and run Apache Beam pipelines with the help of expert tips and techniquesBook Description Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing. This book will help you to confidently build data processing pipelines with Apache Beam. You'll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You'll also learn how to test and run the pipelines efficiently. As you progress, you'll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you'll understand advanced Apache Beam concepts, such as implementing your own I/O connectors. By the end of this book, you'll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems. What you will learnUnderstand the core concepts and architecture of Apache BeamImplement stateless and stateful data processing pipelinesUse state and timers for processing real-time event processingStructure your code for reusabilityUse streaming SQL to process real-time data for increasing productivity and data accessibilityRun a pipeline using a portable runner and implement data processing using the Apache Beam Python SDKImplement Apache Beam I/O connectors using the Splittable DoFn APIWho this book is for This book is for data engineers, data scientists, and data analysts who want to learn how Apache Beam works. Intermediate-level knowledge of the Java programming language is assumed.



Building Big Profits In Real Estate


Building Big Profits In Real Estate
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Author : Wade Timmerson
language : en
Publisher: John Wiley & Sons
Release Date : 2004-07-20

Building Big Profits In Real Estate written by Wade Timmerson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-20 with Business & Economics categories.


Everyday, people just like you have a real chance to make serious money in real estate. All it requires is the discipline to purchase good property and the motivation to make new purchases that will create growing equity. Filled with in-depth insights and practical advice, Building Big Profits in Real Estate will show you the right way to invest in real estate. A successful stock market investor may need to perform extensive research to make a profit, but becoming a successful real estate investor can be more complex and far more hands-on, especially when you're just getting started. The good thing about real estate is that it offers more security as well as greater upside potential than any other investment--mainly because the value of property never goes to zero (unlike some recent stocks) and real estate prices often continue to go up even when general economic conditions are soft. Building Big Profits in Real Estate focuses on the sound strategies that everyone needs to understand before they invest in real estate. It covers important topics, such as analyzing markets, financing your projects, purchasing rental property, managing a real estate portfolio, finding new ways to invest, and understanding wholesale markets. It also reveals some of the most overlooked opportunities in the real estate market, including Section 8 rentals, wholesaling properties, and selling houses on a rent-to-own basis.