Courses in summer term 2019 / Lecture Big Data Analytics / Lecture Script
Lecture Slides:
| 00. Introduction | [PDF] | 09.04.2019 | |
| A1. Threads | [PDF] | 16.04.2019 | |
| A2. Message Passing Interface (MPI) | [PDF] | 23.04.2019 | |
| A3. Graphic Processing Units | [PDF] | 30.04.2019 | |
| B1. Distributed File System | [PDF] | 07.05.2019 | |
| B2. Relational Databases for Big Data | [PDF] | 14.05.2019 | |
| B3. NoSQL Databases for Big Data | [PDF] | 21.05.2019 | |
| C1. MapReduce | [PDF] | 28.05.2019 | |
| C2. Resilient Distributed Datasets (Spark) | [PDF] | 11.06.2019 | |
| C3. Computational Graphs (TensorFlow) | [PDF] | 18.06.2019 | |
| D1. Distributed Stochastic Gradient Descent | [PDF] | 25.06.2019 | |
| D2. Distributed Matrix Factorization | [PDF] | 02.07.2019 | |
| Questions and Answers | [PDF] | 09.07.2019 |