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Big Data, What Are You Saying?
Read the Fine Print
Educational Use
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Students act as R&D entrepreneurs, learning ways to research variables affecting the market of their proposed (hypothetical) products. They learn how to obtain numeric data using a variety of Internet tools and resources, sort and analyze the data using Excel and other software, and discover patterns and relationships that influence and guide decisions related to launching their products. First, student pairs research and collect pertinent consumer data, importing the data into spreadsheets. Then they clean, organize, chart and analyze the data to inform their product production and marketing plans. They calculate related statistics and gain proficiency in obtaining and finding relationships between variables, which is important in the work of engineers as well as for general technical literacy and decision-making. They summarize their work by suggesting product launch strategies and reporting their findings and conclusions in class presentations. A finding data tips handout, project/presentation grading rubric and alternative self-guided activity worksheet are provided. This activity is ideal for a high school statistics class.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
Tom Falcone
Date Added:
05/03/2017
CLOUD COMPUTING: ESTRATEGIAS PARA ADOPTAR CLOUD COMPUTING EN MICRO, PEQUEÑAS Y MEDIANAS EMPRESAS.
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DEBIDO A QUE ACTUALMENTE SE ENCUENTRA EN REVISIÓN LA TESIS, EL DOCUMENTO ES PRIVADO POR EL MOMENTO,
PRÓXIMAMENTE SE DARÁ MAS INFORMACIÓN. GRACIAS.

La Tecnología de la Información (TI) siempre ha sido considerada un punto importante en las organizaciones empresariales, desde la perspectiva de los costos y de gestión. Es parte integral de la tecnología y los modelos de negocio de las empresas y las ha obligado a adaptarse a las nuevas estrategias de tecnología. Con los avances de infraestructura en la tecnología de la información y la comunicación, los nuevos modos de programación y los nuevos modelos en su uso; han llegado también nuevas formas de denominar los servicios de Internet. Factores como la mercantilización de hardware, software de código abierto, la virtualización, la globalización de la fuerza de trabajo y los procesos ágiles de TI han apoyado el desarrollo de nuevos modelos de tecnología y negocios. La computación en nube o Cloud Computing ofrece a las organizaciones más opciones en cuanto a cómo gestionar las infraestructuras, ahorrar costes, trabajar en equipo remotamente y delegar responsabilidades a proveedores de servicios Cloud o terceros, sin que los usuarios tengan que tener ningún conocimiento de la infraestructura que hay detrás.

La mayoría de las empresas se esfuerzan por reducir su coste del área de TI a través de los medios de virtualización. Esta demanda de reducir el costo ha dado lugar a la innovación de la computación en nube, ya que ofrece una reducción en los costos de administración así como reducción de costos de infraestructura. Los grandes beneficios del Cloud Computing permiten la adquisición de recursos computacionales de manera rápida, flexible y con un menor costo de implementación para los usuarios o empresas y es rentable para los proveedores, pues a pesar de presentar algunos riesgos, el poder trabajar con este nuevo tipo de tecnología permite al usuario ahorrarse tanto licencias, como la administración de servicios y de los equipos necesarios. Además de beneficios en términos de costo, el Cloud Computing puede presentar beneficios de seguridad ya que brinda a las empresas normas y estándares de seguridad de los más altos niveles internacionales. Incluso presenta beneficios ambientales y sociales. Todo gracias a la arquitectura conformada por los modelos con los cuales trabaja el Cloud Computing, denominadas por sus siglas: SaaS, PaaS e IaaS, las cuales corresponden al software, plataforma e infraestructura como servicios respectivamente.

El Cloud Computing se encuentra todavía en una etapa infantil y es una nueva tecnología para las micro, pequeñas, medianas o nuevas empresas. Existen pocas guías y marcos para una óptima adopción, la mayoría de ellos no se encuentran en la lengua española o no engloban todos los factores y cuestiones necesarias para generar confianza en esta tecnología. Por lo tanto, la mayoría de las empresas no están muy seguras en adoptar la tecnología. La presente tesis aborda el problema de confianza en la adopción y se discuten y analizan las barreras que se pueden presentar al adoptar la computación en nube en una empresa. Se presentan una serie de estrategias, una hoja de ruta y un marco que servirán como una guía para enfrentar los desafíos, cuestiones o factores en términos de costo, seguridad, confidencialidad, confianza, cumplimiento normativo, cumplimiento legal y cumplimento-TI, así como los factores organizacionales/humanos. En esta tesis se detallan exhaustivamente todos los temas referentes al Cloud Computing desde sus antecedentes, evolución, arquitectura, tecnología, modelos de negocio, modelos de servicio, modelos de despliegue, proveedores del servicio, etc. y así se logre un profundo entendimiento del paradigma de computación en nube. La metodología fue realizada siguiendo los lineamientos de diferentes estándares, normas, protocolos, estándares, certificados y mejores prácticas internacionalmente reconocidas respecto a la seguridad de la información en un entorno de TI ó enfocadas a entornos de Cloud Computing como: ISO/IEC 27001, ISO/IEC 27002, COBIT, ITIL, KMIP, TLS/SSL y CCSK. Esto logra una metodología con procedimientos adecuados para la adopción de Cloud Computing en las micro, pequeñas y medianas empresas que ya adoptan servicios de nube o están interesados en su adopción.

Palabras clave: Computación en Nube, Cloud Computing, SaaS, IaaS, PaaS, Costo, Cumplimiento, Seguridad, Confidencialidad, Confianza, Micro, Pequeñas y Medianas Empresas, Adopción, Estrategias.

Subject:
Business and Communication
Career and Technical Education
Education
General Law
Law
Material Type:
Reading
Date Added:
03/31/2016
Cloud and Server GIS
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CC BY-NC-SA
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Is your understanding of Cloud GIS a bit hazy? Does thinking about it leave you in a fog? We've designed GEOG 865, Cloud and Server GIS, to help you understand how all of the various pieces of architecture fit together. By the end of the class you'll have a clear understanding of esri's and others' offerings in the space, how to implement ArcGIS Enterprise on Amazon EC2, make online maps with Carto and Mapbox, and engage in some blue sky thinking of your own in our weekly discussions about trends and directions.

Subject:
Applied Science
Computer Science
Physical Geography
Physical Science
Material Type:
Full Course
Provider:
Penn State College of Earth and Mineral Sciences
Author:
Sterling Quinn
Date Added:
10/07/2019
Confidentiality, Integrity, Availability (CIA) Triad
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CC BY-NC-SA
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This lesson begins with a look at data storage in the cloud. Cloud computing provides convenience, but there are tradeoffs in security. Our digital lives are stored in data centers around the world. Securing that data leads us to a model for information security known as the CIA (Confidentiality, Integrity, Availability) Triad.

Subject:
Computer Science
Material Type:
Unit of Study
Author:
Sabrina Smiley
Date Added:
08/29/2022
Current & Emerging Computing Technology
Unrestricted Use
CC BY
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Short Description:
This book is written for the typical computer user: someone who uses computers for day-to-day activities (browsing the web, sending/receiving email, etc.) and is interested in delving a bit deeper into some of the current technology concepts and terminology.

Long Description:
This book is written for the typical computer user: someone who uses computers for day-to-day activities (browsing the web, sending/receiving email, etc.) and is interested in delving a bit deeper into some of the current technology concepts and terminology.

Word Count: 24004

ISBN: 978-1-77420-191-6

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Applied Science
Business and Communication
Communication
Computer Science
Material Type:
Textbook
Provider:
BCcampus
Date Added:
10/05/2022
Designing Computational Biology Workflows with Perl
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CC BY-NC-SA
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This manual guides the instructor to combine the partial files of the virtual machine image and construct sequencer.ova file. It is accompanied by the partial files of the virtual machine image.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Queensborough Community College
Author:
Esma Yildirim
Date Added:
06/04/2019
Final Project Assignment: Distributed Systems and Cloud Computing
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CC BY-NC-SA
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Final Project Assignment for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing. Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Introduction to Cloud Computing for Genomics
Unrestricted Use
CC BY
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Data Carpentry lesson to learn how to work with Amazon AWS cloud computing and how to transfer data between your local computer and cloud resources. The cloud is a fancy name for the huge network of computers that host your favorite websites, stream movies, and shop online, but you can also harness all of that computing power for running analyses that would take days, weeks or even years on your local computer. In this lesson, you’ll learn about renting cloud services that fit your analytic needs, and how to interact with one of those services (AWS) via the command line.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Abigail Cabunoc Mayes
Adina Howe
Amanda Charbonneau
Bob Freeman
Brittany N. Lasseigne, PhD
Bérénice Batut
Caryn Johansen
Chris Fields
Darya Vanichkina
David Mawdsley
Erin Becker
François Michonneau
Greg Wilson
Jason Williams
Joseph Stachelek
Kari L. Jordan, PhD
Katrin Leinweber
Maxim Belkin
Michael R. Crusoe
Piotr Banaszkiewicz
Raniere Silva
Renato Alves
Rémi Emonet
Stephen Turner
Taylor Reiter
Thomas Morrell
Tracy Teal
William L. Close
ammatsun
vuw-ecs-kevin
Date Added:
03/28/2017
Lecture 10: Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part Two)"
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Lecture #10 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part Two)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 11: Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics"
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Lecture #11 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 1: Distributed Systems and Cloud Computing - "Overview"
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Lecture #1 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Overview". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 2: Distributed Systems and Cloud Computing - "Key Concepts & Techniques"
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Lecture #2 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Key Concepts & Techniques". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 3: Distributed Systems and Cloud Computing - "Synchronization, Consistency and Replication"
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Lecture #3 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Synchronization, Consistency and Replication". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 4: Distributed Systems and Cloud Computing - "Distributed File Systems"
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Lecture #4 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed File Systems". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 5: Distributed Systems and Cloud Computing - "Distributed Web-based Applications"
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Lecture #5 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed Web-based Applications". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 6: Distributed Systems and Cloud Computing - "Cloud Computing Concepts"
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Lecture #6 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Computing Concepts". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 7: Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part One)"
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Lecture #7 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part One)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 8: Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part Two)"
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Lecture #8 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part Two)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 9: Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part One)"
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CC BY-NC-SA
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Lecture #9 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part One)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
New machine learning method could help keep cloud services from crashing
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CC BY
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This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"For about 40 minutes in 2013, the world was in panic. Cloud services for internet retail giant Amazon had crashed. In less than an hour, Amazon had lost an estimated 5 million dollars in sales. It’s an operational standstill feared by cloud users and operators alike. Unfortunately, most methods for detecting the faults that lead to such crashes tend to be inefficient and inaccurate. But now, a team of researchers from China, Saudi Arabia, and the US has developed one of the best detection methods yet—based on a machine learning tool known as a support vector machine. A support vector machine is a classification-based learning algorithm. For the simple task of classifying circles by color, the algorithm takes a set of examples and determines the dividing line or plane that maximizes the separation between the two classes. That provides the widest margin of classification error, preventing any new circles from being mislabeled..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Subject:
Applied Science
Computer Science
Material Type:
Diagram/Illustration
Reading
Provider:
Research Square
Provider Set:
Video Bytes
Date Added:
09/20/2019