Databases Illuminated with Cloud Labs

Product Description Print Textbook & Cloud Lab Access: 180-day subscription. The cybersecurity Cloud Labs for Databases Illuminated provide fully immersive mock IT infrastructures with live virtual machines and real software, where students will learn and practice the foundational information security skills they will need to excel in their future careers. Unlike simulations, these hands-on virtual labs reproduce the complex challenges of the real world, without putting an institution’s assets at risk. Available as a standalone lab solution or bundled with Jones & Bartlett Learning textbooks, these cybersecurity Cloud Labs are an essential tool for mastering key course concepts through hands-on training. Labs: Lab 1: Interpreting Entity-Relationship Diagrams Using Dia Lab 2: Designing Entity-Relationship Diagrams Using Dia Lab 3: Writing Relational Algebra Queries Using RelaX Lab 4: Forward Engineering Entity-Relationship Diagrams to Relational Schemas Lab 5: Creating and Querying a Relational Database Using MySQL Workbench Lab 6: Writing Advanced SQL Queries Using MySQL Workbench Lab 7: Creating a Data Warehouse Star Schema with Dia and MySQL Workbench Lab 8: Populating a Data Warehouse Star Schema Using MySQL Workbench Lab 9: Querying a NoSQL Document Database Using MongoDB Compass Lab 10: Querying a NoSQL Graph Database Using Neo4j Cypher About the Author Catherine Ricardo is a Professor Emeritus of Computer Science at Iona College in New Rochelle, NY. She received a B.A. from the College of Mount Saint Vincent, an M.A. from Fordham University, and an M. Phil. and Ph.D. from Columbia University. She served as departmental chairperson and as coordinator of graduate programs in computing at Iona. She has taught a variety of courses, but she has concentrated on courses in database systems, at both the undergraduate and graduate level. Her other interests include computing education, educational assessment, and computing curriculum development. She has written textbooks, book chapters, and numerous articles, and has made presentations at many conferences in the field.Susan D. Urban received the Ph.D. degree in computer science in 1987 from the University of Louisiana at Lafayette. She received the B.S. degree in computer science in 1976 and the M.S. degree in computer science in 1980, also from the University of Louisiana, Lafayette. She is currentlyan emeritus professor in the School of Computing, Informatics, and Decisions Systems Engineering at Arizona State University. She has also held faculty positions at the University of Miami and at Texas Tech University. She has taught at the undergraduate and graduate level for over 28 years, with a focus on database design, data consistency, active rule processing, distributed databases, the use of databases in engineering design, and the development of innovative teaching concepts for database instruction. She has over 120 refereed publications and book chapters on her research and teaching activities.Dr. Karen Davis is a Professor in the Department of Software Engineering and Computer Science at Miami University in Oxford, OH. Dr. Davis received a B.S. degree in Computer Science from Loyola University, New Orleans in 1985 and an M.S. and Ph.D. in Computer Science from the University of Louisiana, Lafayette in 1987 and 1990, respectively. She was a Professor in the Electrical Engineering and Computer Science Department at the University of Cincinnati prior to joining the faculty at Miami. Her research interests include data modeling, query optimization, and computing education. She has over 100 refereed publications in conference proceedings, journals, and book chapters and more than 30 years of teaching experience. In 2016, she received the ASEE Sharon Keillor Award for Women in Engineering Education. In 2021, she received Miami’s MAC Outstanding Faculty Award for Student Success.