Images are generated. Author: Jin Created Date: 01/12/2012 12:50:20 Title: PowerPoint Presentation BIG DATA Prepared By Nasrin Irshad Hussain And Pranjal Saikia M.Sc(IT) 2nd Sem Kaziranga University Assam 2. 1 Introduction. Bank/Credit Card transactions. Feature detection Structure extraction Statistical analysis etc. Big Data sources 8. This interesting powerpoint presentation on Big Data contains various topics related to Big Data with illustrated images. Big data analytics is the process of examining large amounts of 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. Web data, e-commerce. Storing,selecting and processing of Big Data 5. 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. in Pharmaceutical Development (Version 12) at … Social Network. Importance of Data science, which is a multidisciplinary field, has come into the picture due to this growing range of 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. 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 … Characteristic of Big Data 4. colors, geometry, etc. Of course, the key idea of this post is not limited to data science projects only, hence someone coming from outside of the field … purchases at department/grocery stores. Introduction to Big Data & Basic Data Analysis. Today, with the Big Data technology, thousands of data from … 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 and its structure. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. Data Visual AnalyticPipeline Data acquisition Data pre-processing Visualization mapping Rendering (ND->2D) Data are mapped to visual primitives, e.g. Big Data EveryWhere! Data are pre-processed. How it is Different 7. 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. The Power of Big Data Big Data can bring “ big values ” to our life in almost every aspects. Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. Introduction 2. They have to think about the big picture, the big problem.” Why Big Data 6. Data scientists “tend to be “hard scientists”, particularly physicists, rather than computer science majors. There exist large amounts of heterogeneous digital data. 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. 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. Lots of data is being collected and warehoused . 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