1 | CSED516/DATA516 - Final Project Presentations | |||||
|---|---|---|---|---|---|---|
2 | ||||||
3 | Presentation Order | Name | Title | |||
4 | 5:00 PM | 1 | Todd Schultz | A Tale of Two Things (ThingSpeak vs Azure IoT) | ||
5 | 2 | Andrew Enfield | Azure Batch AI and Deep Learning | |||
6 | 3 | Ian Kirkman | Amazon SageMaker | |||
7 | 4 | Alyssa Goodrich | Redshift vs Vertica | |||
8 | 5 | Eric Pripstein | BigQuery ML | |||
9 | 6 | Sean Miller | How Partitioning Affects The Performance of Pyspark Jobs | |||
10 | 7 | Dan White | BigQuery vs. Redshift | |||
11 | 8 | Mohammed Helal | Tuning Spark Configs for ML Tasks | |||
12 | 9 | Charles Duze | Digging in a Real World Problem with Hive, Spark and Presto | |||
13 | 10 | Fei Wang | EMR Spark tuning | |||
14 | 11 | Tejas Hosangadi | Amazon AWS Athena | |||
15 | 12 | Kenten Danas | Amazon Neptune | |||
16 | 13 | Libby Montague | Reactome pathway database | |||
17 | 14 | Abhishek Anand | Azure Cosmos DB | |||
18 | 15 | Salik Warsi | How linear is speed up in RedShift | |||
19 | 6:15 PM | BREAK | 10 min | |||
20 | 6:25 PM | 16 | Toan Luong | Evaluation of Neo4j on mini-hw1-graphx queries | ||
21 | 17 | Yumeng Ding | Presto vs. Hive | |||
22 | 18 | Amitabh Nag | Is Databricks really 5x faster than Spark? | |||
23 | 19 | Geoff Coyner | SQL and ML workloads on Spark: Azure vs. AWS | |||
24 | 20 | Will Bishop | Linear and logistic regression on Spark | |||
25 | 21 | Luke Waninger | Azure SQL Data Warehouse | |||
26 | 22 | Havan Agrawal | Amazon Elastic Search Service | |||
27 | 23 | Hemant Jain | BigQuery ML | |||
28 | 24 | Purshottam Shivraj | Dynamodb | |||
29 | 25 | Vivek Pagadala | Spark streaming | |||
30 | 26 | Reynaldo Adji | Is BigQuery as good as advertised? | |||
31 | 27 | Priyanka Mhatre | Benchmarking Random Forest on Spark Vs Scikit-learn | |||
32 | 28 | Andrew Smith | Spark vs. Presto | |||
33 | 29 | Nimisha Sharath | AWS Sagemaker | |||
34 | 30 | Rahul Birmiwal | Amazon Comprehend | |||
35 | 7:35 PM | BREAK | 10 min | |||
36 | 7:45 PM | 31 | Rohit Gupta | Kinesis and DynamoDB | ||
37 | 32 | Paul Wright | Redshift Query Optimization Effectiveness | |||
38 | 33 | Sayli Dighde | Google BigQuery | |||
39 | 34 | Ryan Bald | Column Encoding in Vertica | |||
40 | 35 | Ryan Bae | Collaborative Filtering Performance on Spark | |||
41 | 36 | Elham Rezvani | Azure Data Lake Store | |||
42 | 37 | Lohith B R | PySpark on DataBricks : Benchmarking and Ease of use Test | |||
43 | 38 | Vishnu Nandakumar | Apache Flink with Google Dataproc | |||
44 | 39 | Tejas Jagadeesh | ORACLE Autonomous Database vs. Amazon Redshift | |||
45 | 40 | Vamsy Atluri | Amazon Athena vs. Google BigQuery vs Snowflake | |||
46 | 41 | |||||
47 | 42 | |||||
48 | 8:45 PM | END |