====== Big Data Analytics ======
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| [[https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=322051168| 392157]]/[[https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=322049273| 392158]] | Schönhuth/Knop | Summer 2022 | Thu 10:15-12:00 with a break (V) |

==== Contents ====

The lecture Big Data Analytics develops competencies in performing data mining tasks on very large amounts of data that cannot be stored in main memory. The lecture provides the key ideas of similarity search using minhashing and locality-sensitive hashing, of data stream processing where data arrives so fast that it has to be processed immediately or is otherwise lost, of Web-related algorithms such as Google's PageRank, of algorithms for mining frequent itemsets, association rules and frequent subgraphs, of algorithms to analyze the structure of large graphs such as social network graphs, and of the map-reduce principle to design parallel algorithms.
  - Finding Similar Items
  - Stream Data Analysis
  - PageRank
  - MapReduce
  - Mining Frequent Itemsets
  - Mining Frequent Subgraphs
  - Mining Social Network Graphs
  - Recommender Systems

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==== Important Links ====

[[https://uni-bielefeld.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx?folderID=78061d2b-d532-4163-8f6d-ae6a00a42bcb|Lecture Recordings]]\\
[[https://lernraumplus.uni-bielefeld.de/course/view.php?id=13388|Lernraum-Plus]]

==== Literature ====

  * A. Silberschatz, H. F. Korth, S. Sudarshan, „Database System Concepts“, 5th edition, McGraw Hill, 2006.
  * R. Elmasri und S.B. Navathe, „Fundamentals of Database Systems“, 5th edition, Pearson/Addison Wesley, 2007.
  * William H. Inmon, "Building the Data Warehouse", John Wiley & Sons, 1996.
  * Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman, "Mining of Massive Datasets", 2nd Edition, Cambridge University Press, 2014.
  * Tom White, "Hadoop: The Definitive Guide Storage and Analysis at Internet Scale", 3rd edition, O'Reilly.
  * Viktor Mayer-Schönberger , Kenneth Cukier , " Big Data: A Revolution That Will Transform How We Live, Work and Think", John Murray, 2013.
  * Eric Redmond , Jim R. Wilson, "Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement", O' Reilly, 2012.
  * Peter Gulutzan, Trudy Pelzer , "SQL Performance Tuning", Addison Wesley, 2002.

==== Time table lecture====

| **Date** | **Topic** |
|07.04.2022 (Online)| [[teaching:2022summer:bda:lecture01|Introduction]] ({{ teaching:2022summer:bda:introduction-070422.pdf | slides}}) |
|14.04.2022 (Online)| [[teaching:2022summer:bda:lecture02|Finding Similar Items I]] ({{ teaching:2022summer:bda:findingsimilaritems-i-140422.pdf| slides}})|
|21.04.2022 (Online)| [[teaching:2022summer:bda:lecture03|Finding Similar Items II]] ({{ teaching:2022summer:bda:findingsimilaritems-ii-210422.pdf| slides}}) |
|28.04.2022| [[teaching:2022summer:bda:lecture04|Map Reduce / Workflow Systems I]] ({{ teaching:2022summer:bda:lecture4-mapreduce1-280422.pdf| slides}})|
|05.05.2022| [[teaching:2022summer:bda:lecture05|Map Reduce / Workflow Systems II]] ({{ teaching:2022summer:bda:lecture5-mapreduce2-050522-edited.pdf| slides}})|
|12.05.2022| [[teaching:2022summer:bda:lecture06|Mining Data Streams I]] ({{teaching:2022summer:bda:lecture6-miningdatastreams1-120522.pdf|slides}}) |
|19.05.2022| [[teaching:2022summer:bda:lecture07|Mining Data Streams II]] ({{teaching:2022summer:bda:lecture7-miningdatastreams2-190522.pdf|slides}})|
|26.05.2022| //no lecture//|
|02.06.2022| [[teaching:2022summer:bda:lecture08|Link Analysis I]] ({{teaching:2022summer:bda:lecture8-linkanalysis1-020622.pdf|slides}})|
|09.06.2022| [[teaching:2022summer:bda:lecture09|Link Analysis II / Frequent Itemsets I]] ({{teaching:2022summer:bda:lecture9-linkanalysis2-frequentitemsets1-090622.pdf|slides}})|
|16.06.2022| //no lecture// |
|23.06.2022| [[teaching:2022summer:bda:lecture10|Recommendation Systems]] ({{teaching:2022summer:bda:recommendationsystems.pdf|slides}})|
|30.06.2022| [[teaching:2022summer:bda:lecture11|Social Networks]] ({{teaching:2022summer:bda:lecture11-socialnetworks-300622.pdf|slides}})|
|07.07.2022| //no lecture// |
|14.07.2022| Exam |

==== Time table tutorials====

| **Date** | **Topic** ||
|06./07.04.2022| ||
|14.04.2022| Upload Exercise 01||
|20./21.04.2022| ||
|27./28.04.2022| Upload Exercise 02 | Discussion Exercise Sheet 01 |
|04./05.05.2022| ||
|12.05.2022| Upload Exercise 03 ||
|19.05.2022| Discussion Exercise Sheet 02 ||
|25.05.2022| Discussion Exercise Sheet 02 (Group B)||
|01./02.06.2022| Upload Exercise 04 | Discussion Exercise Sheet 03 |
|08./09.06.2022| ||
|15./16.06.2022| ||
|22./23.06.2022| Upload Exercise 05 | Discussion Exercise Sheet 04 |
|29./30.06.2022| ||
|06./07.07.2022| Discussion Exercise Sheet 05 ||
|11.07.2022| Exam preparation for all groups (Swen Simon)||
|14.07.2022| Exam ||

==== Examination dates ====
=====1st Exam:===== 
Presence exam, Thursday, July 14, 2022, 14:00 to 17:00

=====2nd Exam:===== 
Presence exam, Thursday, Aug. 04, 2022, 09:00 to 12:00