Introduction to Stream Processing using Apache Flink — Part1
Stream processing is a programming paradigm that treats data streams or sequences of time-based events as the core input and
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System Design
An Overview of Resiliency
This is the 8th post in a series on System Design. Any failure that can happen will eventually happen as
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An Overview of Strong Consistency
This is the 7th post in a series on System Design. Eventual consistent databases allow data sets to be partitioned
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An Overview of Eventual Consistency
This is the 6th post in a series on System Design. The emergence of distributed, NoSQL databases has increased the
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An Overview of Event & Stream Processing Systems
This is the 5th post in a series on System Design. The faster you can extract insights and knowledge from
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An Overview of Distributed Caching
This is the 4th post in a series on System Design. Nearly 3% of infrastructure at Twitter is dedicated to
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An Overview of Concurrent Software Systems
This is the 3rd post in a series on System Design. Multiple independent pieces of code execute simultaneously on multiple
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An Overview of Distributed Systems Architectures
This is the 2nd post in a series on System Design. If 50% of a code executes serially, the rest
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An overview of scalability principles
This is the 1st post in a series on System Design. “Scalability is the property of a system to handle
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