Building Big
Author: David Macaulay
Publisher: Houghton Mifflin Harcourt
Published: 2000
Total Pages: 196
ISBN-13: 9780395963319
DOWNLOAD EBOOK →Companion volume to PBS series which originally aired October 2000.
Lanterna Rally
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Big Book of Virtual Teambuilding Games: Quick, Effective Activities to Build Communication, Trust and Collaboration from Anywhere!
Author: Mary Scannell
Publisher: McGraw Hill Professional
Published: 2011-12-16
Total Pages: 256
ISBN-13: 0071775129
DOWNLOAD EBOOK →Get remote team members to interact as if they’re in the same room! Whether you’re videoconferencing with team members across the world or e-mailing a colleague sitting ten feet away, the truth is evident: technology has permanently altered the way we communicate. The virtual workplace can facilitate quicker decision making and reduced overhead. But the lack of face-to-face interaction can also impede trust, innovation, and creativity among team members. The Big Book of Virtual Team-Building Games is packed with games and activities for developing productive virtual teams across all digital platforms, including e-mail, mobile devices, web-based conferencing tools, and social media sites such as Facebook, Twitter, and Skype. The Big Book of Virtual Team-Building Games helps you: Build a greater sense of community and reduce conflict Increase levels of engagement Get the most out of more-introverted team members Boost team members’ productivity Make sure that the only thing separating your people is distance. The Big Book of Virtual Team-Building Games is just the tool you need to develop trusting relationships, foster clear communication, and use technology to enhance the team’s connections.
The Big Book of Maker Skills
Author: Chris Hackett
Publisher: Weldon Owen International
Published: 2014-11-04
Total Pages: 562
ISBN-13: 1681881616
DOWNLOAD EBOOK →This ultimate guide for tech makers covers everything from hand tools to robots plus essential techniques for completing almost any DIY project. Makers, get ready: This is your must-have guide to taking your DIY projects to the next level. Legendary fabricator and alternative engineer Chris Hackett teams up with the editors of Popular Science to offer detailed instruction on everything from basic wood- and metalworking skills to 3D printing and laser-cutting wizardry. Hackett also explains the entrepreneurial and crowd-sourcing tactics needed to transform your back-of-the-envelope idea into a gleaming finished product. In The Big Book of Maker Skills, readers learn tried-and-true techniques from the shop classes of yore—how to use a metal lathe, or pick the perfect drill bit or saw—and get introduced to a whole new world of modern manufacturing technologies, like using CAD software, printing circuits, and more. Step-by-step illustrations, helpful diagrams, and exceptional photography make this book an easy-to-follow guide to getting your project done.
Building Big
Author: Lead Author: N R Acharyulu Co-author & Editor: K V Prasad
Publisher: Notion Press
Published: 2022-06-10
Total Pages: 347
ISBN-13:
DOWNLOAD EBOOK →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
Author: Krish Krishnan
Publisher: Academic Press
Published: 2019-11-15
Total Pages: 242
ISBN-13: 0128158042
DOWNLOAD EBOOK →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
Author: John Lockyer
Publisher: Flying Start Books
Published: 2021-04-30
Total Pages: 20
ISBN-13: 1776548744
DOWNLOAD EBOOK →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)
Author: John Lockyer
Publisher: Flying Start Books
Published: 2021-04-30
Total Pages: 20
ISBN-13: 177685375X
DOWNLOAD EBOOK →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
Author: Wei-Dong Zhu
Publisher: IBM Redbooks
Published: 2014-12-08
Total Pages: 101
ISBN-13: 0738453994
DOWNLOAD EBOOK →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
Author: Yuko Adachi
Publisher: Routledge
Published: 2013-09-05
Total Pages: 243
ISBN-13: 1135147116
DOWNLOAD EBOOK →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
Author: Jan Lukavsky
Publisher: Packt Publishing Ltd
Published: 2022-01-21
Total Pages: 342
ISBN-13: 1800566565
DOWNLOAD EBOOK →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.
