Oldest pages

Showing below up to 50 results in range #1 to #50.

1. Central themes‏‎ (16:39, 15 November 2017)
2. Spark preparations‏‎ (12:27, 31 August 2018)
3. Hadoop preparations‏‎ (12:01, 17 September 2018)
4. Apache Hadoop and MapReduce‏‎ (12:44, 17 September 2018)
5. NLP for EM and visualization/Dashboards‏‎ (09:30, 18 September 2018)
6. Variables.png‏‎ (11:16, 8 October 2018)
7. Variables.pdf‏‎ (11:18, 8 October 2018)
8. Session 7 - Machine learning for Emergency Management‏‎ (14:40, 15 October 2018)
9. Datasets‏‎ (08:57, 24 October 2018)
10. Literature‏‎ (17:01, 25 October 2018)
11. Spark Streaming Twitter‏‎ (17:03, 25 October 2018)
12. Session 6 - NLP for EM and visualization/Dashboards‏‎ (09:56, 26 October 2018)
13. Sentiment analysis using Spark Streaming‏‎ (13:21, 1 November 2018)
14. Tools‏‎ (13:43, 1 November 2018)
15. Session 9 - Student programming project presentations (mandatory)‏‎ (14:35, 21 November 2018)
16. Session 8 - Essay presentations (mandatory)‏‎ (14:36, 21 November 2018)
17. Information meeting‏‎ (21:27, 19 August 2019)
18. Student group programming project‏‎ (12:42, 12 September 2019)
19. Session 8 - Visualization/Dashboards for Emergency Management (Guest lecture)‏‎ (07:45, 25 October 2019)
20. Session 9 - Essay presentations (mandatory)‏‎ (12:13, 15 November 2019)
21. Session 10 - Student programming project presentations (mandatory)‏‎ (12:14, 15 November 2019)
22. Information meeting via Zoom‏‎ (12:45, 17 August 2020)
23. Session 2 - Big Data for emergency management‏‎ (09:01, 18 August 2020)
24. Student project‏‎ (09:12, 18 August 2020)
25. Practical session, introduction to Spark‏‎ (09:22, 18 August 2020)
26. Practical session, using Spark for emergency datasources‏‎ (09:22, 18 August 2020)
27. Course description‏‎ (09:24, 18 August 2020)
28. Context‏‎ (09:28, 18 August 2020)
29. Running Spark‏‎ (19:54, 18 August 2020)
30. Session 1 - Introduction to INFO319 and Emergency Management‏‎ (20:52, 19 August 2020)
31. Practical session, trying emergency response tool (Ushahidi)‏‎ (11:17, 20 August 2020)
32. Session 4 - Sensors/IoT for Emergency Management‏‎ (11:34, 16 September 2020)
33. P3-3.pdf‏‎ (12:50, 24 September 2020)
34. Session 3 - Emergency data sources‏‎ (12:53, 24 September 2020)
35. Running Hadoop‏‎ (14:55, 30 September 2020)
36. Session 7 - Essay presentations (mandatory)‏‎ (13:45, 6 October 2020)
37. Session 8 - Student programming project presentations (mandatory)‏‎ (13:46, 6 October 2020)
38. Session 6 - Machine learning and NLP for EM‏‎ (11:16, 19 October 2020)
39. Session 5 - Social Media for Emergency Management‏‎ (12:11, 19 October 2020)
40. Practical session, Spark streaming for Twitter data analysis‏‎ (13:17, 29 October 2020)
41. Practical session, Spark streaming for sentiment analysis‏‎ (15:48, 29 October 2020)
42. Final exam‏‎ (13:57, 13 November 2020)
43. Apache Spark‏‎ (15:35, 22 August 2022)
44. Processing tweets with Spark‏‎ (09:04, 3 September 2022)
45. Getting started with Apache Spark‏‎ (17:41, 5 September 2022)
46. Streaming tweets with Twitter API‏‎ (17:41, 16 September 2022)
47. Streaming tweets with Kafka and Spark‏‎ (15:22, 13 October 2022)
48. Create Spark cluster‏‎ (11:52, 31 October 2022)
49. Install HDFS and YARN on the cluster‏‎ (12:10, 31 October 2022)
50. Install Spark on the cluster‏‎ (12:17, 31 October 2022)