How Long to Read Big Data, Databases and "Ownership" Rights in the Cloud

By Marcelo Corrales Compagnucci

How Long Does it Take to Read Big Data, Databases and "Ownership" Rights in the Cloud?

It takes the average reader 5 hours and 17 minutes to read Big Data, Databases and "Ownership" Rights in the Cloud by Marcelo Corrales Compagnucci

Assuming a reading speed of 250 words per minute. Learn more

Description

Two of the most important developments of this new century are the emergence of cloud computing and big data. However, the uncertainties surrounding the failure of cloud service providers to clearly assert ownership rights over data and databases during cloud computing transactions and big data services have been perceived as imposing legal risks and transaction costs. This lack of clear ownership rights is also seen as slowing down the capacity of the Internet market to thrive. Click-through agreements drafted on a take-it-or-leave-it basis govern the current state of the art, and they do not allow much room for negotiation. The novel contribution of this book proffers a new contractual model advocating the extension of the negotiation capabilities of cloud customers, thus enabling an automated and machine-readable framework, orchestrated by a cloud broker. Cloud computing and big data are constantly evolving and transforming into new paradigms where cloud brokers are predicted to play a vital role as innovation intermediaries adding extra value to the entire life cycle. This evolution will alleviate the legal uncertainties in society by means of embedding legal requirements in the user interface and related computer systems or its code. This book situates the theories of law and economics and behavioral law and economics in the context of cloud computing and takes database rights and ownership rights of data as prime examples to represent the problem of collecting, outsourcing, and sharing data and databases on a global scale. It does this by highlighting the legal constraints concerning ownership rights of data and databases and proposes finding a solution outside the boundaries and limitations of the law. By allowing cloud brokers to establish themselves in the market as entities coordinating and actively engaging in the negotiation of service-level agreements (SLAs), individual customers as well as small and medium-sized enterprises could efficiently and effortlessly choose a cloud provider that best suits their needs. This approach, which the author calls “plan-like architectures,” endeavors to create a more trustworthy cloud computing environment and to yield radical new results for the development of the cloud computing and big data markets.

How long is Big Data, Databases and "Ownership" Rights in the Cloud?

Big Data, Databases and "Ownership" Rights in the Cloud by Marcelo Corrales Compagnucci is 308 pages long, and a total of 79,464 words.

This makes it 104% the length of the average book. It also has 97% more words than the average book.

How Long Does it Take to Read Big Data, Databases and "Ownership" Rights in the Cloud Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 14 minutes to read Big Data, Databases and "Ownership" Rights in the Cloud aloud.

What Reading Level is Big Data, Databases and "Ownership" Rights in the Cloud?

Big Data, Databases and "Ownership" Rights in the Cloud is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Big Data, Databases and "Ownership" Rights in the Cloud?

Big Data, Databases and "Ownership" Rights in the Cloud by Marcelo Corrales Compagnucci is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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