24 lectures on distributed databases, a powerful data storage tool for large companies, and a must-have for advanced backend engineers

24 lectures on understanding distributed databases, data storage tools for large companies, and essential resources for advanced backend engineers:

24 lectures on distributed databases, a powerful data storage tool for large companies, and a must-have for advanced backend engineers

The growth of Internet data is explosive, and stand-alone databases quickly hit the bottleneck of capacity and performance. The industry has experienced technical exploration from SQL to NoSQL and then to NewSQL. Distributed databases have replaced traditional relational databases with higher concurrent access, stronger scalability, and faster data access speeds, and are being widely adopted by the industry.

As a developer, it is necessary to have a deep understanding of the principles and applications of distributed databases

Course Catalog

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[6296] Opening words: Understand the distributed database and improve your workplace competitiveness.mp4

[6297] 01 Introduction: What is a distributed database? Let's talk about its past and present.mp4

[6298] 02 SQL v NoSQL: Understanding the various "SQL" at once.mp4

[6299] 03 Data Sharding: How to Store Ultra-Large Scale Data? .mp4

[6300] 04 Data replication: How to ensure high availability of data in distributed scenarios? .mp4

[6301] 05 Consistency and CAP model: Why do we need distributed consistency? .mp4

[6302] 06 Practice: Designing the simplest distributed database.mp4

[6303] 07 Summary: What is a storage engine and why do you need to know about it? .mp4

[6304] 08 Distributed index: How to quickly locate data in a cluster? .mp4

[6305] 09 Log storage: Why choose it as the underlying storage? .mp4

[6306] 10 Transaction Processing and Recovery (Part 1): How to ensure that data is not lost after a database crash? .mp4

[6307] 11 Transaction Processing and Recovery (Part 2): How to control concurrent transactions? .mp4

[6308] 13 Summary: What problems do distributed systems solve? .mp4

[6309] 14 Error Detection: How to Ensure the Stability of Distributed Systems? .mp4

[6310] 15 Leader election: How to safely coordinate operations in a distributed system? .mp4

[6311] 16 Revisiting consistency: What other consistency models are there besides CAP? .mp4

[6312] 17 Reliable Data Dissemination: How does anti-entropy theory help databases work reliably? .mp4

[6313] 18 Distributed Transactions (Part 1): In addition to XA, are there any other atomic commit algorithms? .mp4

[6314] 19 Distributed Transactions (Part 2): The Peak Showdown between Spanner and Calvin.mp4

[6315] 20 Consensus Algorithms: Let’s clarify the differences between Paxo, Raft and other algorithms at once.mp4

[6316] 22 Development and Limitations: Exploration of Traditional Databases in the Distributed Field.mp4

[6317] 23 Database middleware: the transition from traditional database to distributed database.mp4

[6318] 24 Current situation interpretation: the latest development of distributed databases.mp4

[6321] Extra lesson 1 Concept analysis: cloud native, HTAP, graph and in-memory database.mp4

[6542] 12 Engine expansion: Interpretation of the current popular distributed storage engine.mp4

[6935] 21 Knowledge Lecture: How to strike a balance between performance and scalability? .mp4

[7130] Extra lesson 2: Database selection: Which distributed database should we use? .mp4

[7131] Conclusion Distributed databases have a promising future.mp4