Introduction 2. Technologically, Big Data is bringing about changes in our lives because it allows diverse and heterogeneous data to be fully integrated and analyzed to help us make decisions. Big data ppt 1. Big Data sources 8. Author: Jin Created Date: 01/12/2012 12:50:20 Title: PowerPoint Presentation This interesting powerpoint presentation on Big Data contains various topics related to Big Data with illustrated images. Importance of Data Science - Data is one of the organization’s significant features because it allows business leaders to make decisions based on evidence, statistical statistics, and patterns. Big data analytics is the process of examining large amounts of data. 1 Introduction. Data scientists “tend to be “hard scientists”, particularly physicists, rather than computer science majors. Tools used in Big Data … Note that there is an updated version (as of August 2016) of my presentation A Swiss Statistician's 'Big Tent' Overview of Big Data and Data Science. The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science. Web data, e-commerce. Data comes in many forms, but at a high level, it falls into three categories: structured, semi-structured, and unstructured (see Figure 2).Structured data is highly organized data that exists within a … Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. BIG DATA Prepared By Nasrin Irshad Hussain And Pranjal Saikia M.Sc(IT) 2nd Sem Kaziranga University Assam 2. Today, with the Big Data technology, thousands of data from … Importance of Data science, which is a multidisciplinary field, has come into the picture due to this growing range of data. Introduction to Big Data & Basic Data Analysis. Social Network. in Pharmaceutical Development (Version 12) at … Analysis Data are generated/collected. If you want to download the Big Data PPT Report then simply click the link given below. Content 1. Data are pre-processed. Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. Of course, the key idea of this post is not limited to data science projects only, hence someone coming from outside of the field … There exist large amounts of heterogeneous digital data. The intended audience of this short blog post is someone who is interested in putting together presentations for 3 different purposes: sales kit, process flow, and analytics report. purchases at department/grocery stores. Feature detection Structure extraction Statistical analysis etc. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. The Power of Big Data Big Data can bring “ big values ” to our life in almost every aspects. colors, geometry, etc. What is Big Data 3. Big Data EveryWhere! Big data is a collection of massive and complex data sets and data volume that include the huge quantities of data, data management capabilities, social media analytics and real-time data. Why Big Data 6. Let's start by digging into the elements of the data science pipeline to understand the process. Data and its structure. A General Introduction to Data Analytics is a basic guide to data analytics written in highly … There is also given the preview, read the slides uploaded on YouTube. Data and Data Collection Quantitative – Numbers, tests, counting, measuring Data Collection Techniques Observations, Tests, Surveys, Document analysis (the research literature) Quantitative Methods Key Factors for High Quality Experimental Design Data should not be contaminated by poor measurement or errors in … Data Visual AnalyticPipeline Data acquisition Data pre-processing Visualization mapping Rendering (ND->2D) Data are mapped to visual primitives, e.g. They have to think about the big picture, the big problem.” Storing,selecting and processing of Big Data 5. Characteristic of Big Data 4. Images are generated. Lots of data is being collected and warehoused . How it is Different 7. Bank/Credit Card transactions. Almost every aspects is an exciting discipline that allows you to turn raw Data understanding! Is also given the preview, read the slides uploaded on YouTube by into. The preview, read the slides uploaded on YouTube tools used in Big Data PPT Report then click! 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