Big Data Management Class Schedule

Week # Topic Notes
1 Introduction to Big Data Management (Reading - Ch 1 MEAP, Ch 1 - MMDS book) QA 1
2 Map Reduce Algorithms; Big Data Architecture & Applications ( Reading - Ch 2 - MMDS book, Map Reduce Slides) QA 2
3 Invited Lecture by Dr. Brendan Kitts, Chief Scientist at PrecisionDemand QA 3; Open Invited Lecture; Project part 1 due
4 Data Organization on Disks; Locality Sensitive Hashing QA 4; Presentation Group 1
5 Clustering Large Datasets QA 5; Presentation Group 2
6 Map Reduce Advancements; Hadoop Ecosystem - HDFS, HDb, Hive QA 6; Presentation Group 3; Presentation Group 4
7 Query Processing; Columnar and Key-Value Stores (c-Store) & Commercial Implementations QA 7; Project part 2 due
8 NoSQL and NewSQL Extensions, Dremel;  Hardware considerations (SSDs, Fabrics) QA 8; Presentation Group 5; Presentation Group 6
9 Analytic Frameworks - Mahout, In Database Analytics - Bismarck, MadLIB QA 9; Presentation Group 6; Presentation Group 7; Project part 3 due
10 Link Analysis - PageRank; Invited Lecture/Course wrap up QA 10;  Presentation Group 8; Project Extra credit and Graduate component due