Advanced Data Management
- Be aware of: • the needs, applicability and basic concepts of data management; • the ways of corresponding data management targets with corporate strategy; • the lifecycle of data in business, data management processes, data management projects; • the scope of responsibility and ability of data managers and data specialists;
- Be able: • to understand targets, corporate and functional strategies of business; • to select and develop data management functions required for implementation business strategy; • to plan and develop data management projects; • to build efficient team of data managers and specialists to develop and support data man-agement projects and functions;
- Learn how to: • build a data model of business; • find business problems and need in the scope of data management; • generate business value from data management process; • lower costs of data management functions without losing a quality; • correspond business needs with regulators requirements.
- Student chose one business-model and company type for homework
- Student chose whether he/she will take a test or make a presentation. Student chose a presentation theme
- Student describes business model of chosen company for homework
- Student describes a list of data-sources fo his/her conceptual data model
- Student creates conceptual data model for homework
- Student creates logical data model for homework
- Student creates list or roles, list of data assets, role to asset matrix in CRUD terms
- Student describes master-data standards
- Student describes multidimensional model fo BI solution
- Pre-exam based on homework
- Data management overviewThe concept of data management within the overall concept of the enterprise and information technology. Detailed overview of data management.
- Data governanceData governance is the exercise of authority and control (planning. monitoring and enforcement) over the management of data assets.
- Data architecture managementData architecture is an integrated set of specification artifacts used to define data requirements. guide integration and control of data assets. and align data investments with business strategy.
- Data developingData development is the analysis, design, implementation, deployment and maintenance of data so-lutions to maximize the value of the data resources to the enterprise. Data development is the subset of pro-ject activities within the system development lifecycle (SDLC) focused on defining data requirements, de-signing the data solution components and implementing these components.
- Data operations managementData operations management is the development. maintenance and support of structured data. It includes two sub-functions: database support and data technology management.
- Data security managementData Security Management is the planning, development and execution of security policies and pro-cedures to provide proper authentication, authorization, access and auditing of data and information assets.
- Master data managementReference and Master data management is the ongoing reconciliation and maintenance of reference data and master data.
- Data warehousing and business intelligence management, Data quality managementData Warehousing and Business Intelligence Management (DW-BIM) is the collection, integration and presentation of data to knowledge Workers for business analysis and decision-making. Data Quality Management (DQM) is a critical support process in organizational change management.
- Document and content managementDocument and Content Management is the control over capture, storage, access and use of data and information stored outside relational databases.
- Meta-data management. Modern technologies and tool for data managementMetadata management is the set of processes that ensure proper creation, storage, integration and control to support associated usage of meta-data. A review of modern data management perspective researches, concepts and tools.
- Online testExamination format: The exam is taken multiple choice questions test with asynchronous proctoring. Asynchronous proctoring means that all the student's actions during the exam will be “watched” by the computer. The exam process is recorded and analyzed by artificial intelligence and a human (proctor). Please be careful and follow the instructions clearly! The platform: The exam is conducted on the StartExam platform. StartExam is an online platform for conducting test tasks of various levels of complexity. The link to pass the exam task will be available to the student in the RUZ. The computers must meet the following technical requirements: https://eduhseru-my.sharepoint.com/:b:/g/personal/vsukhomlinov_hse_ru/EUhZkYaRxQRLh9bSkXKptkUBjy7gGBj39W_pwqgqqNo_aA?e=fn0t9N A student is supposed to follow the requirements below: Prepare identification documents (а passport on a page with name and photo) for identification before the beginning of the examination task; Check your microphone, speakers or headphones, webcam, Internet connection (we recommend connecting your computer to the network with a cable, if possible); Disable applications on the computer's task other than the browser that will be used to log in to the StartExam program. If one of the necessary requirements for participation in the exam cannot be met, a student is obliged to inform a program manager 7 days before the exam date to decide on the student's participation in the exams. Important rules: All rules are available in exam regulations using asynchronous proctoring technology in the framework of intermediate certification. Additional rules: The test will be taken in Google Docs online service. Prepare your google id and send it to teacher earlier that 2 days before exam. Connection failures: A short-term connection failure during the exam is considered to be the loss of a student's network connection with the StartExam platform for no longer than 5 minutes per exam. A long-term connection failure during the exam is considered to be the loss of a student's network connection with the StartExam platform for longer than 5 minutes per exam and will be the basis for the decision to terminate the exam. In case of long-term connection failure in the StartExam platform during the examination task, the student must record the fact of connection failure (screenshot, a response from the Internet provider). Then contact the program manager with an explanatory note about the incident to decide on retaking the exam.
- HomeworkStudent must prepare at least 3 first parts of homework: Business model, Conceptual data model and Logical Data Model.
- AttendanceThere are 12 lessons (lectures and practice) during the course period. Attendance of each lesson gives 10/12 points.
- Interim assessment (4 module)0.1 * Attendance + 0.7 * Homework + 0.2 * Online test
- Enfield, R. (2010). Reviewing your organisation’s approach to data management. Journal of Securities Operations & Custody, 3(2), 122–130. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=53774483
- Harrington, J. L. Relational database design and implementation. – Morgan Kaufmann, 2016. – 441 pp.
- Teorey, T. J. et al. Database modeling and design: logical design. – Morgan Kaufmann, 2011. – 352 pp.
- Барсегян А., Куприянов М., Степаненко В., Холод И. Технологии анализа данных: Data Mining, Text Mining, Visual Mining, OLAP. 2 изд., Санкт-Петербург: БХВ-Петербург, 2008 г. , 384 с. ISBN 5-94157-991-8
- Alexander Osterwalder, Er Osterwalder, Mathias Rossi, & Minyue Dong. (2002). The Business Model Handbook for Developing Countries. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.63A7BE39
- Celko, J. (2006). Joe Celko’s Analytics and OLAP in SQL. San Francisco, Calif: Morgan Kaufmann. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=195632
- Khadam, U., Iqbal, M. M., Alruily, M., Al Ghamdi, M. A., Ramzan, M., & Almotiri, S. H. (2020). Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions. Wireless Communications & Mobile Computing, 1–15. https://doi.org/10.1155/2020/7105625
- Love, J. S. (2018). Sociolegal And Empirical Legal Research - Research Data Management. https://doi.org/10.5281/zenodo.1200550
- Petrov, A., & O’Reilly for Higher Education (Firm). (2019). Database Internals : A Deep Dive Into How Distributed Data Systems Work (Vol. First edition). Sebastopol, CA: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2250514
- Plattner, H., & Zeier, A. (2012). In-Memory Data Management : Technology and Applications. Berlin: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=535046