Understanding Databases

DATA70141 Understanding Databases 15 Semester 1 Postgraduate Taught Level 7 Pradyumn Shukla Unit coordinator Thomas Carroll Unit coordinator Alliance Manchester Business School Social Statistics Department of Computer Science 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 The unit aims to address the theory and the role of databases in organisations and help students to gain practical experience in: <ul> <li style="margin-left:8px">designing and implementing databases to solve practical problems according to the relational principles</li> <li style="margin-left:8px">designing and implementing databases in non-relational formats</li> <li style="margin-left:8px"> using a contemporary Database Management System, MySQL, Python and PHP for database programming</li> <li style="margin-left:8px">designing and implementing distributed databases for data intensive systems.</li></ul> The unit aims to address the theory and the role of databases in organisations and help students to gain practical experience in: <ul> <li style="margin-left:8px">designing and implementing databases to solve practical problems according to the relational principles</li> <li style="margin-left:8px">designing and implementing databases in non-relational formats</li> <li style="margin-left:8px"> using a contemporary Database Management System, MySQL, Python and PHP for database programming</li> <li style="margin-left:8px">designing and implementing distributed databases for data intensive systems.</li></ul> The unit aims to address the theory and the role of databases in organisations and help students to gain practical experience of designing and implementing databases to solve practical problems according to the relational principles and also designing and implementing databases in non-relational formats.  <ul><li>Demonstrate understanding of the role and importance of data and information in organisations.</li><li>Demonstrate understanding of the principles and objectives of data modelling.</li><li>Demonstrate understanding of the principles of the relational model.  </li><li>Demonstrate competence in relational database design and implementation.</li><li>Demonstrate understanding of the principles of non-relational data models.</li><li>Demonstrate competence in non-relational database design and implementation.</li><li>Demonstrate the ability to identify and classify data quality requirements, and approaches to their resolution </li></ul> <ul><li>Apply data modelling for a specific business problem</li><li>Design a relational database</li><li>Create (including extract-transform-load (ETL) operations) and manipulate data in a relational database using SQL</li><li>Design a non-relational database</li><li>Create (including ETL) and manipulate data in a non-relational database using NoSQL</li><li>Apply techniques for identifying and resolving data quality issues. </li></ul> <ul><li>Competence in data modelling</li><li>Problem solving skills in creating a database (relational and non-relational) to address business problems</li><li>Presentation skills</li><li>SQL and NoSQL programming skills </li></ul> <ul><li>Introduction to Big Data management & Introduction to relational model</li><li>Relational model, data quality and SQL</li><li>Database manipulation</li><li>Conceptual design using ER</li><li>Mapping ER to SQL; normal forms</li><li>SQL and applications; embedded queries</li><li>Introduction to big data, distributed databases and NoSQL</li><li>Designing NoSQL databases</li><li>NoSQL and applications </li></ul> Lectures are standalone 90 minute lectures and practical sessions are 90 minute slot within the  co-lab. Each practical session will include a exercise where students will be asked to demonstrate an understanding of the topics covered during the session.  Use of e-learning will be used where appropriate to prepare the students for the specific topics to be covered during the lectures and also to provide them with additional examples and practice.  0 Other 100% <figure class="table"><table style="width:500px;" border="1" cellpadding="1" cellspacing="1"><tbody><tr><td>Assessment Task</td><td>Length</td><td>How and when feedback is provided</td><td>Weighting</td></tr><tr><td>Weekly self-assessment quizzes on VLE (formative)</td><td>MCQ quizzes</td><td>Auto-online</td><td>0%</td></tr><tr><td>Coursework 1 (Individual work): Design, implement, and operate a relational database.Deliverables: 1. Report containing a defence of the design and implementation of the database, along with relevant figures. 2. Code</td><td>Report of 400  words (not including relevant figures).Code files can be any size required. </td><td>Written and/or verbal</td><td>40%</td></tr><tr><td>Coursework 2 (group work) : Design, implement, and operate a NoSQL database.Deliverables: 1. Group report containing defence and analysis of the created database, along with relevant figures. 2.  Code</td><td>Report of 400  words (not including relevant figures).Code files can be any size required</td><td>Written and/or verbal</td><td>40%</td></tr><tr><td>Class TestTo take place in a scheduled teaching session. Questions are of MCQ type or similar.   </td><td>1 hours</td><td>Written and/or verbal</td><td>20%</td></tr></tbody></table></figure>  N <ul><li>Elmasri, R. and Navathe, S., Fundamentals of Database Systems, Pearson, ISBN: 9780133970777, https://www.amazon.co.uk/Fundamentals-Database-Systems-Ramez-Elmasri/dp/0136086209</li><li>Hills, T.  “NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software”, Technics Publications, 2016, ISBN: 9781634621113  https://www.safaribooksonline.com/library/view/nosql-and-sql/9781634621113/  </li><li>Coronel,   C., Morris, S., Rob, P. and Crockett, K.   “Database   Principles:   Fundamentals   of   design, implementation, and management”, 2nd edition, Cengage Learning, 2013, ISBN: 9781408066362, https://www.cengage.co.uk/books/9781408066362/  </li><li>Fowler, A. “NoSQL for dummies”, John Wiley and Sons, 2015, ISBN: 978-1118905746. https://www.wiley.com/en-gb/NoSQL+For+Dummies-p-9781118905623   </li></ul> Lectures 33 0 117