LEADER 00000cam a2200733 a 4500 001 856903015 003 OCoLC 005 20240129213017.0 006 m o d 007 cr unu|||||||| 008 130826s2013 caua o 001 0 eng d 019 902410001|a966374163|a1005783309|a1066479273|a1067110999 |a1086473037|a1111044354|a1112543104|a1129350305 |a1153004754 020 9781430257622|q(electronic bk.) 020 1430257628|q(electronic bk.) 024 7 10.1007/978-1-4302-5762-2|2doi 029 1 AU@|b000052008049 029 1 AU@|b000053294208 029 1 AU@|b000060583758 029 1 CHNEW|b000900093 029 1 DEBBG|bBV041431798 029 1 DEBSZ|b39827665X 029 1 DEBSZ|b427418828 029 1 NZ1|b15293487 035 (OCoLC)856903015|z(OCoLC)902410001|z(OCoLC)966374163 |z(OCoLC)1005783309|z(OCoLC)1066479273|z(OCoLC)1067110999 |z(OCoLC)1086473037|z(OCoLC)1111044354|z(OCoLC)1112543104 |z(OCoLC)1129350305|z(OCoLC)1153004754 037 CL0500000269|bSafari Books Online 040 UMI|beng|epn|cUMI|dGW5XE|dCOO|dZMC|dDEBSZ|dCDX|dYDXCP |dGGVRL|dEBLCP|dOCLCQ|dOCLCF|dVT2|dOCLCQ|dLIV|dMERUC|dESU |dOCLCQ|dIOG|dN$T|dREB|dOCLCQ|dCEF|dINT|dU3W|dOCLCQ|dWYU |dYOU|dUWO|dTKN|dOCLCQ|dUAB|dAU@|dUKAHL|dOCLCQ|dDCT|dERF |dOCLCQ|dBRF|dOCLCO|dOCLCQ|dOCLCO|dOCLCQ 049 INap 082 04 005.74 082 04 005.74|223 099 eBook O’Reilly for Public Libraries 100 1 Zadrozny, Peter. 245 10 Big data analytics using Splunk /|cPeter Zadrozny, Raghu Kodali.|h[O'Reilly electronic resource] 260 [Berkely, Calif.] :|bApress ;|eNew York :|fDistributed by Springer Science+Business New York,|c©2013. 300 1 online resource (1 volume) :|billustrations 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 text file|bPDF|2rda 490 0 The expert's voice in big data 505 00 |tBig Data and Splunk --|tGetting Data into Splunk -- |tProcessing and Analyzing the Data --|tVisualizing the Results --|tDefining Alerts --|tWeb Site Monitoring -- |tUsing Log Files To Create Advanced Analytics --|tThe Airline On-Time Performance Project --|tGetting the Flight Data into Splunk --|tAnalyzing Airlines, Airports, Flights, and Delays --|tAnalyzing a Specific Flight Over the Years --|tAnalyzing Tweets --|tAnalyzing Foursquare Check-Ins -- |tSentiment Analysis --|tRemote Data Collection -- |tScaling and High Availability --|tThe Performance of Splunk --|tUseful Splunk Apps. 520 Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check- ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunks easy to use engine helps you recognize and react in real time, as events are occurring. Splunk is a powerful, yet simple analytical tool fast gaining traction in the fields of big data and operational intelligence. Using Splunk, you can monitor data in real time, or mine your data after the fact. Splunks stunning visualizations aid in locating the needle of value in a haystack of a data. Geolocation support spreads your data across a map, allowing you to drill down to geographic areas of interest. Alerts can run in the background and trigger to warn you of shifts or events as they are taking place. With Splunk you can immediately recognize and react to changing trends and shifting public opinion as expressed through social media, and to new patterns of eCommerce and customer behavior. The ability to immediately recognize and react to changing trends provides a tremendous advantage in todays fast-paced world of Internet business. Big Data Analytics Using Splunk opens the door to an exciting world of real-time operational intelligence. Built around hands-on projects Shows how to mine social media Opens the door to real-time operational intelligence. 588 0 Online resource; title from title page (Safari, viewed Aug. 19, 2013). 590 O'Reilly|bO'Reilly Online Learning: Academic/Public Library Edition 650 0 Big data. 650 0 Data mining. 650 0 Automatic data collection systems. 650 6 Données volumineuses. 650 6 Exploration de données (Informatique) 650 6 Collecte automatique des données. 650 7 Automatic data collection systems|2fast 650 7 Big data|2fast 650 7 Data mining|2fast 700 1 Kodali, Raghu. 776 08 |iPrint version:|aZadrozny, Peter.|tBig Data Analytics Using Splunk : Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources.|dDordrecht : Springer, ©2013|z9781430257615 856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https:// learning.oreilly.com/library/view/~/9781430257615/?ar |zAvailalbe on O'Reilly for Public Libraries 938 Askews and Holts Library Services|bASKH|nAH29483036 938 Coutts Information Services|bCOUT|n26861905 938 EBL - Ebook Library|bEBLB|nEBL1636332 938 EBSCOhost|bEBSC|n1173831 938 Cengage Learning|bGVRL|nGVRL6VTU 938 YBP Library Services|bYANK|n11118627 994 92|bJFN