PPT-Making it Real Data Lakes and Data Integration

Information architecture happens by design or by default Andy Fitzgerald Independent Opening Thoughts Concept of Data lake took off with the advent of Big Data technologies and remains a fluid evolving concept at this time. Adding even more demand to rapidly integrate new data sources and applications are growing trends such as cloud and big data enabling the business to create differentiating services access new data for advanced analytics or change internal processes 1 Data Integration Trends 2 Oracle Data Integrator Enterprise Edition 2 OWBEE 11gR2 Data Integration Enhancements 3 Code Template Mappings Using ODI Knowledge Modules 3 Change Data Capture Mappings - DEVELOPING . SCALABLE DATA ARCHITECTURE AT SURS. Tomaž Špeh . UNECE . Workshop . on the Modernisation of Statistical Production. Geneva, 15-17 April 2015. Modernization. . activities. More . efficient production, decreasing costs and administrative burden, increasing efficiency and flexibility. lakes are lakes are the centres little attention . . a surface than that and humate and Palacas but a paper, contrasts the other rather than material in are restricted, and therefore in the table that May 7, 2013. Liane Harrington, Inside Sales Rick Bansal, Channel Sales Manager Lou . +. a (corny) ending. 5/4. An unexamined life . . is not worth living... . --Socrates. Mandatory blog . qns. Final on next Tuesday. . 9:50—11:40. Course Outcomes. After this course, you should be able to answer:. are used in Phase . I of the MCAS project . to connect set of message enabled services into a workflow for efficient . refactoring of existing informational . portals. . Project goal.. Our goal is to factor out presentation and business analysis logic from available monitoring solutions into a standalone model supporting common standard in . Impacts. Top Recommendations. Data Lakes only address a narrow range of information scenarios and audiences.. Understand the skills necessary to exploit a data lake and determine if those skills exist in your organization or learn how to acquire them.. - Paris 2016. Nicolas Baret. . Senior Pre-Sales Consultant. The Evolution of Hadoop . Enterprise ready. From batch to real-time. Now add Cloud. It’s all About the Architecture. Brian Arkills. Software Engineer, LDAP geek, AD bum, and Associate Troublemaking Officer . . Identity and Access Management, UW-IT. High Level Background. Project charter has lots of wiggle room. Envisioned as way to replace UW Exchange. Xin. Luna Dong (Google Inc.). Divesh. . Srivastava. (AT&T Labs-Research). http://www.research.att.com/~divesh/papers/bdi-icde2013.pptx. What is “Big Data Integration?”. Big data integration = Big data data integration. Lise Fox. Betsy Sutherland. Megan Vinh. 1. Agenda. Introductions. Data-based decision making basics. Overview of RP. 2. Utah’s implementation of data-based decision making practices. Discussion. 2. DDDM. “The practice of basing decisions on the analysis of data rather than purely on intuition.”  Equally succinctly, data science “as the connective tissue between data-processing technologies (including those for . Analysis. . of . Social Media Data . Shaowen Wang. CyberInfrastructure and Geospatial Information Laboratory (CIGI). Department of Geography and Geographic Information Science. Department of Computer Science.