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Learn Database Management, earn certificates with free online courses from Stanford, University of Michigan, Johns Hopkins, UC Irvine and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to efficiently update SQL Server tables using the Merge statement and pandas integration, ensuring data stays current for analysis. Covers inserting, updating, and deleting rows with practical demonstrations.
Explore Xata's GitHub integration for seamless data management across Deploy Previews. Learn to enhance Next.js apps, ensure data safety during collaboration, and implement new features efficiently.
In this course, you'll learn essential concepts and practical techniques to effectively adminstrate MySQL databases, including performance tuning, security, query optimization, partitioning, and high availability architectures.
Explore fine-grained complexity, logic, and query evaluation techniques for optimizing relational programs in database systems and computational theory.
Explore a complex Postgres cluster outage, learn to reproduce failures locally, and gain insights into debugging complex systems and understanding database internals.
Explore advanced database concepts, query optimization techniques, and data management strategies in this comprehensive lecture on modern database systems.
Explore advanced database concepts and techniques in this comprehensive lecture, focusing on query optimization, indexing strategies, and performance tuning for efficient data management.
Learn database selecting techniques, including creating models, using Active Records, query bindings, and testing, to enhance your database management skills.
Explores efficient direct access techniques for signed conjunctive queries, extending tractability results to queries with negative atoms using circuit-based approaches.
Explore compressed yet lossless representations of relational data, their efficient processing, and applications in algorithms, probabilistic databases, and in-database machine learning.
This course will teach you how to deal with and manage errors effectively.
Explore methods for quantifying the significance of database components, including tuples, constraints, and graph elements, using impact measurement and game theory concepts.
Explore the paradigm shift in database development, focusing on guardrails for improved code quality, observability, and automated issue resolution.
Explore efficient algorithms for simulating sorted query answers with aggregation, examining tractability for various aggregate functions and lexicographic ordering scenarios.
Explore techniques for modeling uncertainty in databases using semiring-annotated relations, enabling efficient approximations of certain and possible answers for complex queries.
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