Big Data Systems (WT 2019/20) - tele-TASKhttps://www.tele-task.de/series/1286/The amount of data that can be generated and stored in academic and industrial projects and applications is increasing rapidly. Big data analytics technologies have established themselves as a solution for big data challenges to the scalability problems of traditional database systems. The vast amounts of new data that is collected, however, usually is not as easily analyzed as curated, structured data in a data warehouse is. Typically, these data are noisy, of varying format and velocity, and need to be analyzed with techniques from statistics and machine learning rather than pure SQL-like aggregations and drill-downs. Moreover, the results of the analyses frequently are models that are used for decision making and prediction. The complete process of big data analysis is described as a pipeline, which includes data recording, cleaning, integration, modeling, and interpretation. In this lecture, we will discuss big data systems, i.e., infrastructures that are used to handle all steps in typical big data processing pipelines.High quality e-learning content created with tele-TASK - more than video! Powered by Hasso Plattner Institute (HPI)Prof. Dr. Tilmann RablThe amount of data that can be generated and stored in academic and industrial projects and applications is increasing rapidly. Big data analytics technologies have established themselves as a solution for big data challenges to the scalability problems of traditional database systems. The vast amounts of new data that is collected, however, usually is not as easily analyzed as curated, structured data in a data warehouse is. Typically, these data are noisy, of varying format and velocity, and need to be analyzed with techniques from statistics and machine learning rather than pure SQL-like aggregations and drill-downs. Moreover, the results of the analyses frequently are models that are used for decision making and prediction. The complete process of big data analysis is described as a pipeline, which includes data recording, cleaning, integration, modeling, and interpretation. In this lecture, we will discuss big data systems, i.e., infrastructures that are used to handle all steps in typical big data processing pipelines.notele-TASKtele-task@hpi.deen℗; ©; tele-TASKWed, 11 Dec 2019 09:07:10 GMTPyRSS2Gen-1.1.0http://blogs.law.harvard.edu/tech/rssWide Column Storeshttps://www.tele-task.de/lecture/video/7886/Prof. Dr. Tilmann Rabl01:26:35tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7886/Tue, 10 Dec 2019 11:00:00 GMTMap Reduce 2https://www.tele-task.de/lecture/video/7869/Prof. Dr. Tilmann Rabl01:28:01tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7869/Tue, 03 Dec 2019 11:00:00 GMTMap Reducehttps://www.tele-task.de/lecture/video/7848/Prof. Dr. Tilmann Rabl01:21:21tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7848/Thu, 28 Nov 2019 11:00:00 GMTDistributed File Systemshttps://www.tele-task.de/lecture/video/7835/Prof. Dr. Tilmann Rabl01:29:13tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7835/Tue, 26 Nov 2019 11:00:00 GMTCloud Computinghttps://www.tele-task.de/lecture/video/7832/Prof. Dr. Tilmann Rabl01:28:53tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7832/Wed, 20 Nov 2019 13:30:00 GMTBenchmarkshttps://www.tele-task.de/lecture/video/7797/Prof. Dr. Tilmann Rabl01:27:59tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7797/Thu, 14 Nov 2019 11:00:00 GMTBenchmarking und Measurementhttps://www.tele-task.de/lecture/video/7783/Prof. Dr. Tilmann Rabl01:27:04tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7783/Tue, 12 Nov 2019 11:00:00 GMTBig Data Stackhttps://www.tele-task.de/lecture/video/7762/Prof. Dr. Tilmann Rabl01:30:37tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7762/Tue, 05 Nov 2019 11:00:00 GMTRDBMS Internalshttps://www.tele-task.de/lecture/video/7737/Prof. Dr. Tilmann Rabl01:12:54tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7737/Thu, 24 Oct 2019 11:00:00 GMTDatabase Systems Recabhttps://www.tele-task.de/lecture/video/7722/Prof. Dr. Tilmann Rabl01:29:32tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7722/Tue, 22 Oct 2019 11:00:00 GMTIntroductionhttps://www.tele-task.de/lecture/video/7704/Prof. Dr. Tilmann Rabl01:15:49tele-TASK, HPI, computer science, technology, Germany, PotsdamProf. Dr. Tilmann RablProf. Dr. Tilmann Rablhttps://www.tele-task.de/lecture/video/7704/Tue, 15 Oct 2019 11:00:00 GMT