Lars Nielsen Ordine dei libri (cronologico)






The Little Book of Cloud Computing Security, 2013 Edition
- 60pagine
- 3 ore di lettura
Completely updated for 2013, this new edition of the bestseller provides lay readers with a concise, to-the-point, up-to-date, no-nonsense introduction to the fundamental security issues confronting those enterprises who have moved, or are considering a move, to the Cloud. In a jargon-free approach that assumes little prior knowledge, Lars Nielsen explores both the advantages and the pitfalls of various options in order to provide the very best data by which enterprises can make informed decisions about how to proceed with their own Cloud security paradigms. CONTENTS: Introduction * Fear and Loathing in the Cloud * Rudiments * Cloud Security Alliance, the CSA GRK Stack, and STAR * Open Data Center Alliance (and Cooperation with CSA) * Microsoft's Free Cloud Security Readiness Tool * Cloud Standards Customer Council, and the Question: Which Standards Organization Will Prevail? * Federal Risk and Authorization Management Program (FedRAMP)
The Little Book of Cloud Computing, 2013 Edition
Including Coverage of Big Data Tools
- 112pagine
- 4 ore di lettura
Explores strategies for maximizing the latest cloud computing tools and economies, putting them to work for an organization, and provides a snapshot of the major industry players, surveys current trends in the cloud marketplace, and lays out vital issues of cloud security.
The Little Book of Cloud Computing, 2014 Edition
Including Coverage of Big Data Tools
- 136pagine
- 5 ore di lettura
Portion of edition statement from page 1.
A Simple Introduction to Data Science
- 76pagine
- 3 ore di lettura
Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field. CONTENTS: Data Science Summarized * What is Big Data * Hadoop * Data Management * Data Cleaning * Data Modeling for Unstructured Data * Predictive Analysis * Creativity and Intuition (or Posing the Right Question, at the Right Time, for the Right Data) * Data Visualization (or Telling the Story) * Cassandra * Academic Programs
Europa - 93: Akzente Almanach
- 128pagine
- 5 ore di lettura


