Data management involve all the disciplines related to collect, store, process and deliver data in order to produce value. According to the Data Management Book of Knowledge (DMBOK) Data Management (or Data Resource Management) is the “development and execution of architectures, policies, practices and procedures that properly manage the full data life-cycle needs of an enterprise.”.
Topics
The practice of Data Management includes many associated and related topics. A short list of these includes:
- Data Governance
- Data Architecture
- Data Modeling
- Data Science
- Big Data
- Business Intelligence
- Business Analytics
- Data Security Management
- Content Management
- Social Network Analysis
But, many other concepts may be related to data management. For example, IoT, ERP, e-learning or CRM are just some technologies and systems that are essential tools to manage data. Other techniques like machine learning are also essential approaches. Data management also includes new approaches like block-chain.
Agenda
- INÊS_GONÇALVES Python
- RICARDO PEREIRA Botnets
- CRISTINA FILIPCIUC Jupyter
- ADRIANA MATEUS Machine Learning e Redes Neuronais
- PEDRO TEIXEIRA App Inventor
- NUNO SEQUEIRA Low Code
- MARIA FAISCO Social Networking Analysis
- JOANA GASPAR GPRS
- MARGARIDA FARIA Cloud Computing
- DIANA CARVALHO ERP
- JOSÉ GOMES ERP
- MANUEL CUNHA PowerBI
- GABRIEL MADUREIRA Robótica
- PEDRO CARAPAU Blockchain
- BEATRIZ CACHO Crowdfunding
Presentations
MIT App Inventor
MIT App Inventor from eurosigdoc acm
Crowdfunding
Crowdfunding from eurosigdoc acm
Machine Learning e Redes Neuronais
Machine Learning e Redes Neuronais from eurosigdoc acm