The document discusses different types of data. It defines data as information that has been converted into a format suitable for processing by computers, usually binary digital form. Data types represent the kind of data that can be processed in a computer program, such as numeric, alphanumeric, or decimal. The main types of data discussed are strings, characters, integers, and floating point numbers.
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
COMEX2017 Smart Talks by Amjid Ali , Muscat, Oman. Covering Introduction to big data, Big Data Definitions, Big Data Revolution, Big Data Timeline, Hadoop and Map Reduce covers importance of storage and DNA, Oceanstore 9000, Microsoft R, Spark,
Slides for class session I taught at USC Annenberg on approaching big data for a non-technical audience so that they can learn the project planning skills to work with technical teams. The goal is to teach students the mindset they should when taking in mixed methods and applying to large datasets prior to selecting software packages and methodology. The slides take us through a previous use case and guidance moving forward from a process and cross-functional team perspective.
Big Data for beginners, the main points you need to know. Simple answers to: What is Big Data? What are the benefits of Big Data? What is the future of Big Data?
Detailed description of big data, with the characteristics of it. What are the limitations of the traditional systems? Where we are using big data? And also the applications of big data.
The Pros and Cons of Big Data in an ePatient WorldPYA, P.C.
PYA Principal Dr. Kent Bottles, who is also PYA Analytics’ Chief Medical Officer, presented “The Pros and Cons of Big Data in an ePatient World” at the ePatient Connections 2013 conference.
Big Data vs. Small Data...what's the difference?Anna Kuhn
What is big data? A 3-pg summary of the key differences between "big data" and "small data."
Includes comparison of data jargon, high level technologies, staffing / people, and the nature of the data itself.
Perfect for data-savvy marketers & agencies, and beginner-to-intermediate data and analytics professionals.
It is a brief overview of Big Data. It contains History, Applications and Characteristics on BIg Data.
It also includes some concepts on Hadoop.
It also gives the statistics of big data and impact of it all over the world.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
COMEX2017 Smart Talks by Amjid Ali , Muscat, Oman. Covering Introduction to big data, Big Data Definitions, Big Data Revolution, Big Data Timeline, Hadoop and Map Reduce covers importance of storage and DNA, Oceanstore 9000, Microsoft R, Spark,
Slides for class session I taught at USC Annenberg on approaching big data for a non-technical audience so that they can learn the project planning skills to work with technical teams. The goal is to teach students the mindset they should when taking in mixed methods and applying to large datasets prior to selecting software packages and methodology. The slides take us through a previous use case and guidance moving forward from a process and cross-functional team perspective.
Big Data for beginners, the main points you need to know. Simple answers to: What is Big Data? What are the benefits of Big Data? What is the future of Big Data?
Detailed description of big data, with the characteristics of it. What are the limitations of the traditional systems? Where we are using big data? And also the applications of big data.
The Pros and Cons of Big Data in an ePatient WorldPYA, P.C.
PYA Principal Dr. Kent Bottles, who is also PYA Analytics’ Chief Medical Officer, presented “The Pros and Cons of Big Data in an ePatient World” at the ePatient Connections 2013 conference.
Big Data vs. Small Data...what's the difference?Anna Kuhn
What is big data? A 3-pg summary of the key differences between "big data" and "small data."
Includes comparison of data jargon, high level technologies, staffing / people, and the nature of the data itself.
Perfect for data-savvy marketers & agencies, and beginner-to-intermediate data and analytics professionals.
It is a brief overview of Big Data. It contains History, Applications and Characteristics on BIg Data.
It also includes some concepts on Hadoop.
It also gives the statistics of big data and impact of it all over the world.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
A deck on the basics of data, for those who did not know that data was actually the plural of datum :) just kidding, hopefully an interesting quick read into a simple breakdown of how data works and what jobs there may be in data.
this slide is for brief introduction to the big data with little bit of fun through memes.
it is prepared with the articles from different websites about big data and some of my own words so it would be great if you like it
In this paper, we discuss about the Big Data. We
analyze and reveals the benefits of Big Data. We analyze the
big data challenges and how Hadoop gives solution to it. This
research paper gives the comparison between relational
databases and Hadoop. This research paper also gives reason
of why Big Data and Hadoop.
General Terms
Data Explosion, Big Data, Big Data Analytics, Hadoop, Hadoop
Distributed File System, MapReduce
Data sciences is the topnotch in our world now as it enables us to predict the future and behaviors of people and systems alike.
Hence, this course focuses on introducing the processing involved in data sciences.
Similar to Chapter 4 what is data and data types (20)
Benefits of Learning to Code.
1. Coding can help you understand technology.
2. It can enhance problem-solving skills.
3. Coding can complement creativity.
4. Coding is a universal language.
5. Coding can improve career prospects.
Classification of Computers
1. Classification on the basis of size.
2. Classification on the basis of functionality.
3. Classification on the basis of data handling.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
2. Contents
What is information?
What is Data ?
What is Data-Types ?
Different Types of Data ?
www.proguidecs.in
3. What is information?
Information is stimuli that has meaning in some context for its receiver.
When information is entered into and stored in a computer, it is generally
referred to as data. After processing -- such as formatting and printing --
output data can again be perceived as information. When information is
compiled or used to better understand something or to do something, it
becomes knowledge.
www.proguidecs.in
4. What is Data ?
In computing, data is information that has been translated into a form that
is efficient for movement or processing. Relative to today's computers and
transmission media, data is information converted into binary digital form.
It is acceptable for data to be used as a singular subject or a plural
subject. Raw data is a term used to describe data in its most basic digital
format.
www.proguidecs.in
5. What is Data-Types ?
As its name indicates, a data type represents a type of the data which you
can process using your computer program. It can be numeric, alphanumeric,
decimal, etc.
in our day-to-day life, we deal with different types of data such as strings,
characters, whole numbers (integers), and decimal numbers (floating point
numbers).
www.proguidecs.in