State Data Program PDF Download

Author: State Data Program (Calif.)
Publisher:
ISBN:
Category : Social sciences
Languages : en
Pages :

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Author: United States. Agricultural Stabilization and Conservation Service
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 116

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Author: Davies, Tim
Publisher: African Minds
ISBN: 1928331955
Category : Social Science
Languages : en
Pages : 590

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Book Description
It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.

Author: State Data Program (Calif.)
Publisher:
ISBN:
Category : Social sciences
Languages : en
Pages :

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Author: United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch
Publisher:
ISBN:
Category : Rehabilitation
Languages : en
Pages : 56

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Author: University of California, Berkeley. Computing Services
Publisher:
ISBN:
Category :
Languages : en
Pages : 2

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Author:
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 114

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Author: Thomas Erl
Publisher: Prentice Hall
ISBN: 0134291204
Category : Computers
Languages : en
Pages : 424

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Book Description
“This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning

Author: United States. Agricultural Stabilization and Conservation Service. Data Systems Division
Publisher:
ISBN:
Category : Agricultural price supports
Languages : en
Pages : 116

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Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 030945428X
Category : Social Science
Languages : en
Pages : 151

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Book Description
Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.