PPT-Data analytics at line speed over controlled network

Author : briana-ranney | Published Date : 2015-10-15

Team Alpha Adroit Ankit Dwivedi Nitish Jain Puneeth Reddy Ritu Arora Vinit Melinamani Problem Statement Software based Data Analyzer Software based data analyzers

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Data analytics at line speed over controlled network: Transcript


Team Alpha Adroit Ankit Dwivedi Nitish Jain Puneeth Reddy Ritu Arora Vinit Melinamani Problem Statement Software based Data Analyzer Software based data analyzers Cannot achieve line speed. Keeping up with the Quants & Lifting the mist.. Dr Andrew McCarren. What we start with?. Getting a clear picture. What is the question?. No exact answers?. Assumptions?. Variation (the same inputs don’t always give us the same answers). After traditional modems reached their peak data rate, telephone companies developed another technology, DSL, to provide higher-speed access to the Internet. Digital subscriber line (DSL) technology is one of the most promising for supporting high-speed digital communication over the . 27 June, 2016. WEF Annual Meeting of the New Champions. PwC’s 2016 Global Data . and . Analytics Survey. Big Decisions. TM. Why. Strategic decisions create value for an organisation. . Decision-makers are now face-to-face with an opportunity to learn from massive amounts of data. . Grant Cohoe. About Me. System Administrator. RSA (The security division of EMC). OpComm. Director / . Sysadmin. / Chairman. Computer Science House @ RIT. ISTS Team . OpComm. (“Team Uptime”). 3. Lessons Learnt. Part 4. Track side design (1). 2. Risk of loss of flexibility in operational moves during application design!. Learn how to read scheme plans in line with ERTMS and its workings. Need to consider:. Manage your campaign Obama-style. Marketing, Advertising . a. nd Fundraising. info@torux.net. TORUX SNA. www.torux.net. Questions our Social Network Analytics services can answer. Who are the individuals in my network that have . Evangelia Sitaridi, . Thesis Defense. Columbia University . GPUs for Social Media Analytics. 2. Search terms: . Match . regexp. : “/\B#\w*[a-. zA. -Z] \w*/ . . debate. Filter location. More GPU Data Analytics Use-Cases. Rutgers University Law Library. Web Analytics. Web Analytics is the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing Web usage.. . --- . Ahmed Mohideen. Abishek Komma. Vipul Modi. Data Sources . and Vendors .  Motivation?. Navteq. TomTom. OpenStreetMaps. Google Transit Feed. Conversion tools . (raw data to modeling networks). Build Network from Shape file (BNFS). Major computer network components. Computer network requires the following devices (some of them are optional):-. Network Interface Card (NIC). Switches. Cables and connectors. Router. Modem. Network Interface Card. Dr. Brett M. Baker, AIG for Audit, NRC OIG. Manuel J. Mireles, Forensic Auditor, NGA OIG. Shiji S. Thomas, Forensic Accountant, NSF OIG. Analytics 101 Outline. At the end of this session you will be able to understand:. 27 June, 2016. WEF Annual Meeting of the New Champions. PwC’s 2016 Global Data . and . Analytics Survey. Big Decisions. TM. Why. Strategic decisions create value for an organisation. . Decision-makers are now face-to-face with an opportunity to learn from massive amounts of data. . Karim. Jetha. What is football analytics?. Four general processes comprise “analytics”. Asking meaningful questions. Acquiring relevant data. Analyzing the data quantitatively. Presenting the results. Outline. Introduction. Big Data and its benefits. Auditing in Big Data Environment. Big Data Policy Framework in SAI India. Way Forward. 2. Big Data Analytics in SAI India. 20 March 2016. Introduction.

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