Dba


Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
PostgreSQL 16 Administration Cookbook: Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
Database Administration: The Complete Guide to Practices and Procedures
Publication Manual of the American Psychological Association(r)
DAMA-DMBOK: Data Management Body of Knowledge
Statistics for Managers Using Excel [with Student CD]
Probability & Statistics for Data Science
Algorithms of Oppression: How Search Engines Reinforce Racism
Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Race After Technology: Abolitionist Tools for the New Jim Code
Pattern Recognition and Machine Learning (Information Science and Statistics)
Probability, Statistics And Random Processes
Naked Statistics: Stripping the Dread from the Data
DBAs work exactly in the middle of sofware and hardware, between developers and operators and between applications and infrastructure. This position provides DBAs with all sorts of challenges, from a badly written SQL statement from developers to storage bottlenecks, from network latency problem to metadata definition, and from coding database procedures to defining hardware requirements for a new database.
Leonardo Ciccone, Aws Certified Database Study Guide: Specialty (Dbs-C01) Exam