PPT-Data Information Knowledge 3

Presentation originally from the University of Texas at Austin Edits by Rick Mercer Outline 2 Review scope of big data Searching using Indexes Analyzing Data Review Big data is huge 3 50 petabytes of data 25 trillion pages of text. DSC340. . Mike . Pangburn. Organizations . are drowning . in . data…. … but . lacking in information / knowledge. Our ability to collect and store data seems to have surpassed our ability to make sense of it!. NZ IR Community Day 2015. Canterbury University. This work is licensed under a Creative Commons Attribution 3.0 New Zealand License. Except as otherwise specified, this is the copyright of Karaitiana N . ID. Selected. Logical. Constraints. (disjointness, . inverse, …) . Terms/. glossary. Thesauri. “. narrower. term. ”. relation. Formal. is-a. Frames. (properties). Informal. is-a. Formal. instance. Jason Howell. Sr. Escalation Engineer. Microsoft SQL Server . Customer Support & Services. Date: 11/16/2011 6pm. Audience: Charlotte SQL Server Users Group. SQL Server. . Data Quality Services. A knowledge driven Data Quality Solution. Sara Kraemer, Lexy Spry, Jeffery Watson. Center for Data Quality and Systems Innovation. University of Wisconsin-Madison. Jenna Scott. Westat. MIS Conference 2012. Overview of the Teacher Incentive Fund 3 (TIF 3). But, why?. Data . Is a set of discrete and objective facts about event. On its own, data does not make much sense. Information . Data becomes meaningful chunks of information once we have organized and categorized the data, and corrected and condensed it. Another Introduction to Data Mining. Course Information. 2. Knowledge Discovery in Data [and Data Mining] (KDD). Let us find something interesting!. Definition. := . “KDD is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” . Module 1: Nursing Informatics (NI) Roles and Competencies. Objectives. Discuss the concept of nurses as knowledge workers.. Examine . metastructures. , concepts and tools in nursing informatics. Describe the evolving roles and competencies of nursing informatics practice.. Knowledge Management. Data, Information, Knowledge. Data, Information, and Knowledge. Implication: data is always right, but information can be wrong. So in this view of the world, what is a “database”?. 3.1.2. Managing the business: decision-making. 3.1.3. Growing the business: knowledge management, R&D, and social . business. Course Topics Overview. Unit 1: Introduction. Unit . 2: . Systems . Analysis. Information Systems in Organizations 3.1.2. Managing the business: decision-making 3.1.3. Growing the business: knowledge management, R&D, and social business Course Topics Overview Unit 1: Introduction Click here to continue. Introduction. Objective. By the end of this instructional course, users will be able to:. Understand the (basic) concepts of Data Security:. Ensuring data is available when needed. STC Strategic Workshop:. Introductory Remarks. STC Team. Bryn Mawr College. : D. Kumar. Howard University. : C. Liu. MIT. : . M. Sudan (co-PI), P. . Shor. .. Purdue University . (lead): . Bamshad Mobasher. DePaul University. 2. From Data to Wisdom. Data. The raw material of information. Information. Data organized and presented by someone. Knowledge. Information read, heard or seen and understood and integrated.