#data-streaming

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Stream All the Things: Patterns of Effective Data Stream Processing Explored by Adi Polak at QCon SF

Data streaming challenges persist despite advancements, leading organizations to seek effective solutions for scalable pipelines.
Achieving exactly-once semantics is vital for reliability in data processing systems, especially with modern architectures.

Enhancing Flink's AWS Integration: Custom SQS Source in Scala

Create custom source functions in Flink to integrate with AWS SQS and enhance streaming data processing.
#data-pipelines

10 Advantages of Real-Time Data Streaming in Commerce - DATAVERSITY

Star Trek popularized real-time matter transfer in sci-fi.
Modern data pipelines enable real-time data transfer for various use cases.

Yelp Overhauls Its Streaming Architecture with Apache Beam and Apache Flink

Yelp revamped data streaming architecture with Apache Beam and Apache Flink for unified solution.

10 Advantages of Real-Time Data Streaming in Commerce - DATAVERSITY

Star Trek popularized real-time matter transfer in sci-fi.
Modern data pipelines enable real-time data transfer for various use cases.

Yelp Overhauls Its Streaming Architecture with Apache Beam and Apache Flink

Yelp revamped data streaming architecture with Apache Beam and Apache Flink for unified solution.
moredata-pipelines

Job Vacancy: Senior Frontend Engineer (w/m/d) // GlassFlow | IT / Software Development Jobs | Berlin Startup Jobs

GlassFlow is a Python-based data streaming infrastructure that challenges legacy technologies like Apache Kafka.
GlassFlow is an early stage VC backed startup from Berlin, building a category-defining infrastructure product with support from world-class tech angels.
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