Search Results for - Narrowed by: 2017 - Big data. - Exploration de donn&eacute;es (Informatique) SirsiDynix Enterprise https://catalog.iyte.edu.tr/client/en_US/default/default/qf$003dPUBDATE$002509Publication$002bDate$0025092017$0025092017$0026qf$003dSUBJECT$002509Subject$002509Big$002bdata.$002509Big$002bdata.$0026qf$003dSUBJECT$002509Subject$002509Exploration$002bde$002bdonn$0025C3$0025A9es$002b$002528Informatique$002529$002509Exploration$002bde$002bdonn$0025C3$0025A9es$002b$002528Informatique$002529$0026ps$003d300? 2024-09-27T10:27:53Z Practical real-time data processing and analytics : distributed computing and event processing using Apache Spark, Flink, Storm, and Kafka ent://SD_ILS/0/SD_ILS:2314538 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Saxena, Shilpi, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781787281202">https://learning.oreilly.com/library/view/~/9781787281202</a> <a href="https://learning.oreilly.com/library/view/~/9781787281202/?ar">https://learning.oreilly.com/library/view/~/9781787281202/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781787281202/?ar">https://go.oreilly.com/library-access/library/view/-/9781787281202/?ar</a><br/>Format:&#160;Electronic Resources<br/> R for data science : import, tidy, transform, visualize, and model data ent://SD_ILS/0/SD_ILS:2312108 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Wickham, Hadley, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781491910382/?ar">https://learning.oreilly.com/library/view/~/9781491910382/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781491910382/?ar">https://go.oreilly.com/library-access/library/view/-/9781491910382/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781491910382">https://learning.oreilly.com/library/view/~/9781491910382</a><br/>Format:&#160;Electronic Resources<br/> Think like a data scientist : tackle the data science process step-by-step ent://SD_ILS/0/SD_ILS:2313147 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Godsey, Brian, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781633430273/?ar">https://learning.oreilly.com/library/view/~/9781633430273/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781633430273/?ar">https://go.oreilly.com/library-access/library/view/-/9781633430273/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781633430273">https://learning.oreilly.com/library/view/~/9781633430273</a><br/>Format:&#160;Electronic Resources<br/> Splunk : enterprise operational intelligence delivered : demystify big data and discover how to bring operational intelligence to your data to revolutionize your work ent://SD_ILS/0/SD_ILS:2313069 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Sigman, Betsy Page, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781787288256/?ar">https://learning.oreilly.com/library/view/~/9781787288256/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781787288256/?ar">https://go.oreilly.com/library-access/library/view/-/9781787288256/?ar</a><br/>Format:&#160;Electronic Resources<br/> Analyzing big data with Spark and Amazon EMR : learning to harness the power of cloud computing to analyze big data when you don't have a cluster of your own ent://SD_ILS/0/SD_ILS:2313089 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Kane, Frank, speaker.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781491985120/?ar">https://go.oreilly.com/library-access/library/view/-/9781491985120/?ar</a> <a href="https://learning.oreilly.com/videos/~/9781491985120/?ar">https://learning.oreilly.com/videos/~/9781491985120/?ar</a><br/>Format:&#160;Electronic Resources<br/> Analyzing big data with Hadoop, AWS, and EMR : understanding how to use Hadoop on Amazon's Elastic MapReduce Service ent://SD_ILS/0/SD_ILS:2313090 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Kane, Frank, speaker.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781491985144/?ar">https://go.oreilly.com/library-access/library/view/-/9781491985144/?ar</a> <a href="https://learning.oreilly.com/videos/~/9781491985144/?ar">https://learning.oreilly.com/videos/~/9781491985144/?ar</a><br/>Format:&#160;Electronic Resources<br/> Mastering Spark for data science : master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products ent://SD_ILS/0/SD_ILS:2313092 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Morgan, Andrew, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781785882142/?ar">https://go.oreilly.com/library-access/library/view/-/9781785882142/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781785882142/?ar">https://learning.oreilly.com/library/view/~/9781785882142/?ar</a><br/>Format:&#160;Electronic Resources<br/> Introduction to the Amazon Elasticsearch Service : learn to search and analyze big data using the Amazon Elasticsearch Service (ES) ent://SD_ILS/0/SD_ILS:2313335 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Kane, Frank, speaker.<br/><a href="https://learning.oreilly.com/videos/~/9781491985168/?ar">https://learning.oreilly.com/videos/~/9781491985168/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781491985168/?ar">https://go.oreilly.com/library-access/library/view/-/9781491985168/?ar</a><br/>Format:&#160;Electronic Resources<br/> Analyzing data using Spark 2.0 DataFrames with Python : learning the basics of Python and Spark DataFrames, and how they work with big data ent://SD_ILS/0/SD_ILS:2313423 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Marcial Portilla, Jose, speaker.<br/><a href="https://learning.oreilly.com/videos/~/9781491986844/?ar">https://learning.oreilly.com/videos/~/9781491986844/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781491986844/?ar">https://go.oreilly.com/library-access/library/view/-/9781491986844/?ar</a><br/>Format:&#160;Electronic Resources<br/> Trends in AI, data science, and big data (2017) : observations from two communities ent://SD_ILS/0/SD_ILS:2314191 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Lorica, Ben, on-screen presenter.<br/><a href="https://learning.oreilly.com/videos/~/9781491996409/?ar">https://learning.oreilly.com/videos/~/9781491996409/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781491996409/?ar">https://go.oreilly.com/library-access/library/view/-/9781491996409/?ar</a><br/>Format:&#160;Electronic Resources<br/> Practical data wrangling : expert techniques for transforming your raw data into a valuable source for analytics ent://SD_ILS/0/SD_ILS:2314960 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Visochek, Allan, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781787286139/?ar">https://learning.oreilly.com/library/view/~/9781787286139/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781787286139/?ar">https://go.oreilly.com/library-access/library/view/-/9781787286139/?ar</a><br/>Format:&#160;Electronic Resources<br/> Big data analytics with Java : big data analytics - massive, predictive, social and self-driving ent://SD_ILS/0/SD_ILS:2313970 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Mehta, Rajat, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781787288980">https://learning.oreilly.com/library/view/~/9781787288980</a> <a href="https://learning.oreilly.com/library/view/~/9781787288980/?ar">https://learning.oreilly.com/library/view/~/9781787288980/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781787288980/?ar">https://go.oreilly.com/library-access/library/view/-/9781787288980/?ar</a><br/>Format:&#160;Electronic Resources<br/> SAS Viya : the Python perspective ent://SD_ILS/0/SD_ILS:2312777 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Smith, Kevin D., author.<br/><a href="https://learning.oreilly.com/library/view/~/9781629608839/?ar">https://learning.oreilly.com/library/view/~/9781629608839/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781629608839/?ar">https://go.oreilly.com/library-access/library/view/-/9781629608839/?ar</a><br/>Format:&#160;Electronic Resources<br/> Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark ent://SD_ILS/0/SD_ILS:2313795 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Kane, Frank, author.<br/><a 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Rezaul, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781785280849">https://learning.oreilly.com/library/view/~/9781785280849</a> <a href="https://learning.oreilly.com/library/view/~/9781785280849/?ar">https://learning.oreilly.com/library/view/~/9781785280849/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781785280849/?ar">https://go.oreilly.com/library-access/library/view/-/9781785280849/?ar</a><br/>Format:&#160;Electronic Resources<br/> Big data now : 2016 edition : current perspectives from O'Reilly Media ent://SD_ILS/0/SD_ILS:2318364 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;O'Reilly &amp; Associates, publisher.<br/><a href="https://learning.oreilly.com/library/view/~/9781492049197/?ar">https://learning.oreilly.com/library/view/~/9781492049197/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781492049197/?ar">https://go.oreilly.com/library-access/library/view/-/9781492049197/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781492049197">https://learning.oreilly.com/library/view/~/9781492049197</a><br/>Format:&#160;Electronic Resources<br/> Mastering computer vision problems with state-of-the-art deep learning architectures, MXNet, and GPU virtual machines ent://SD_ILS/0/SD_ILS:2316959 2024-09-27T10:27:53Z 2024-09-27T10:27:53Z by&#160;Gonzalez-Fierro, Miguel, on-screen presenter.<br/><a href="https://learning.oreilly.com/videos/~/9781492037316/?ar">https://learning.oreilly.com/videos/~/9781492037316/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781492037316/?ar">https://go.oreilly.com/library-access/library/view/-/9781492037316/?ar</a><br/>Format:&#160;Electronic Resources<br/>