Wei Hu
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
#1about 3 minutes
The evolution from key-value stores to distributed SQL
Modern distributed systems require strong consistency and a powerful query language, leading to the development of distributed SQL databases.
#2about 1 minute
Understanding the primary use cases for distributed databases
Distributed databases primarily solve for massive internet-scale workloads and help organizations comply with data sovereignty regulations.
#3about 3 minutes
How a distributed database works under the hood
A distributed database presents a single logical view to applications while physically partitioning data into replicated, independently operating shards.
#4about 6 minutes
Choosing between distributed and clustered database architectures
Clustered databases offer the lowest latency within a data center, while distributed databases provide massive geographical scale at the cost of network latency.
#5about 4 minutes
Using database sharding to meet data sovereignty laws
A global bank implemented data sovereignty for India by sharding local customer data into a dedicated region without changing its core applications.
#6about 3 minutes
Supporting hyperscale workloads with a single database
The BlueKai platform simplified its architecture and improved performance by migrating a complex, multi-database system to a single Oracle distributed database.
#7about 5 minutes
Optimizing performance with advanced data distribution methods
Flexible data distribution methods like composite, directory-based, and duplicated tables are crucial for minimizing latency and handling data skew.
#8about 2 minutes
Building resilient systems with modern replication protocols
Using adaptive replication and the Raft consensus protocol provides extreme survivability and fast, automatic failover with zero data loss.
#9about 2 minutes
The converged database model for modern applications
A converged database supports multiple data types and workloads in a single system, simplifying development and deployment across multi-cloud and on-premise environments.
#10about 2 minutes
Key features of a modern distributed SQL database
A fully-featured distributed database combines flexible data distribution, replication, and deployment methods within a converged architecture for maximum power.
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Matching moments
03:03 MIN
Understanding the fundamentals of distributed SQL databases
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
01:32 MIN
How distributed databases abstract complexity from applications
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
01:15 MIN
Achieving massive scalability and high fault tolerance
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
02:00 MIN
How to evaluate and choose a distributed SQL database
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
01:57 MIN
Solving data sovereignty requirements without application changes
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
02:14 MIN
Deploying across multi-cloud to avoid vendor lock-in
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases
04:17 MIN
Navigating the CAP theorem in distributed systems
Leveraging Real time data in FSIs
04:48 MIN
The power and complexity of database sharding
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