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teaching:infoh415 [2021/10/05 16:04] ezimanyi [Topics for the current academic year] |
teaching:infoh415 [2021/10/06 17:24] ezimanyi [Project] |
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| + | 06/10: | ||
| + | Dear all, | ||
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| + | The exercise session of tomorrow (7/10) will take place on Teams. During this session, you should continue the exercises that we started previous week. | ||
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| + | I will be available on Teams to answer questions you may have concerning the two first sessions. I will post a message on the Teams group (exercise channel), anyone having a question should answer the message so that I can call you. | ||
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| + | Best regards, | ||
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| + | Gilles | ||
| ===== Lecturer ===== | ===== Lecturer ===== | ||
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| Students, in groups of two or four students, will realize a project in a topic relevant to advanced databases. Examples of topics are given in the next section of this document. Please notice that the template for these topics is "<Technology> and <Tool>" for groups of 2 students and "<Technology> with <Tool1> and <Tool2>" for groups of 4 students. | Students, in groups of two or four students, will realize a project in a topic relevant to advanced databases. Examples of topics are given in the next section of this document. Please notice that the template for these topics is "<Technology> and <Tool>" for groups of 2 students and "<Technology> with <Tool1> and <Tool2>" for groups of 4 students. | ||
| - | Each group will study a database technology and illustrate it with an application developed in a database management system to be chosen (e.g., SQL Server, PostgreSQL, MongoDB, etc.). The topic should be addressed in a technical way, to explain the foundations of the underlying technology. The application must use the chosen technology. | + | Each group will study a database technology (e.g., document stores, time series databases, etc.) and illustrate it with an application developed in a database management system to be chosen (e.g., SQL Server, PostgreSQL, MongoDB, etc.). The topic should be addressed in a technical way, to explain the foundations of the underlying technology. The application must use the chosen technology. Examples of technologies and tools can be found for example in the following [[https://db-engines.com/en/ranking|web site]] |
| It is important to understand that the objective of the project is NOT about developing an application with GUI. The objective is to benchmark the proposed tool in relation to the database requirements of your application. Therefore, it is necessary to determine the set of queries and updates that your application requires and do a benchmark with, e.g., 1K, 10K, 100K, and 1M "objects" (rows, documents, nodes, etc. depending on the technology used) to determine if the tool shows a linear or exponential behavior. As usual when performing benchmarks, the queries and updates are executed n times (e.g., 6 times where the first execution is not considered because it is different from the others since the cache structures must be filled) and the average of the execution times is computed. A comparison with traditional relational technology must be provided to show that the chosen tool is THE technology of choice for your application, better than all other alternatives, and that it will perform correctly when the system is deployed at full scale. | It is important to understand that the objective of the project is NOT about developing an application with GUI. The objective is to benchmark the proposed tool in relation to the database requirements of your application. Therefore, it is necessary to determine the set of queries and updates that your application requires and do a benchmark with, e.g., 1K, 10K, 100K, and 1M "objects" (rows, documents, nodes, etc. depending on the technology used) to determine if the tool shows a linear or exponential behavior. As usual when performing benchmarks, the queries and updates are executed n times (e.g., 6 times where the first execution is not considered because it is different from the others since the cache structures must be filled) and the average of the execution times is computed. A comparison with traditional relational technology must be provided to show that the chosen tool is THE technology of choice for your application, better than all other alternatives, and that it will perform correctly when the system is deployed at full scale. | ||
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| * Column stores and Apache Kudu: Pei Liao, Minxing Jiang | * Column stores and Apache Kudu: Pei Liao, Minxing Jiang | ||
| * Data warehouses and Apache Hive: Nicole Zafalón, Andrés Espinal | * Data warehouses and Apache Hive: Nicole Zafalón, Andrés Espinal | ||
| - | * Distributed databases and SQL Server: Asha Seif, Kainaat Amjid | + | * Distributed databases with Citus: Asha Seif, Kainaat Amjid |
| * Distributed Databases with DynamoDB: Loïc Caudron, Matteo Snellings | * Distributed Databases with DynamoDB: Loïc Caudron, Matteo Snellings | ||
| * Document stores with CouchBase and CouchDB: Mohammadreza Amini, Ossoama Benaissa, Zheng Ren, Adriana Sirbu | * Document stores with CouchBase and CouchDB: Mohammadreza Amini, Ossoama Benaissa, Zheng Ren, Adriana Sirbu | ||