María del Pilar Ángeles obtained her Ph.D. in Computer Science from the Heriot-Watt University in 2007. Since 1989 she worked as Technical Support Engineer for a number of database software providers such as Software AG, Sybase de Mexico and e-Strategy Mexico. She is a full time Professor at the Facultad de Ingeniería, Universidad Nacional Autónoma de México. Her recent research interests include Quality in Software Engineering, Master Data Management, Big Data, NoSQL, In-memory databases, Data Mining, Data Quality, Data matching, and Data Provenance.
Coursera
Dive into the world of Relational Database Systems with our six-week specialization course. Gain a deep understanding of information systems and databases, learning how to solve various business problems effectively. This course is packed with videos and resources designed for easy learning about data modeling, SQL queries, normalization, and more.
Coursera
Dive into a six-week specialization course on NoSQL Systems. This course will equip you with the knowledge to distinguish between relational and NoSQL databases through engaging video content and practical exercises. Discover the power of NoSQL databases in handling large volumes of diverse data types.
Coursera
Embark on a four-week journey to master the design of data-intensive applications with Coursera's 'Designing Data-Intensive Applications Specialization'. This course is designed for those looking to understand how to build scalable, efficient, and reliable systems that handle large volumes of data. Through engaging video lectures and hands-on exercises, you'll gain a deep understanding of database systems, distributed computing, and more.
Coursera
Embark on a six-week journey into the world of Business Intelligence and Data Warehousing with Coursera's specialized course. Gain insights into identifying, designing, and developing analytical information systems, including descriptive analysis on data warehouses. Master integration and predictive analysis of big data using data mining and Hadoop framework techniques.