Paris Carbone
15 SlideShares 24 Followers 2 Folgens
Personal Information
Unternehmen/Arbeitsplatz
Stockholm County, Sweden Sweden
Beruf
PhD Candidate in Distributed Computing
Branche
Technology / Software / Internet
Webseite
https://www.kth.se/profile/parisc/
Info
I am an open source committer (Apache Flink®) and PhD researcher, working at the intersection of distributed systems, databases and programming languages. Parts of my work that people typically find cool include snapshots for exactly-once processing in distributed dataflow systems, data stream windowing and graph stream processing programming models. I also love to play and compose music! Do not miss our Cinco quintet if you ever visit Stockholm.
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distributed systems data streaming stream processing data analytics big data apache flink databases machine learning fault tolerance distributed snapshots distributed computing programming systems computer science compilers artificial intelligence ai graph mining graph processing services computer systems data science data management cloud computing vldb continuous analytics interactive analytics information technology hadoop timely dataflow social media iterations data mining information tsunamis graph analysis analytics optimization cikm database engineering synopses windows eit zookeeper google snapshots high availability
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Präsentationen

(15)
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Tech Talk @ Google on Flink Fault Tolerance and HA

Vor 8 Jahren • 1940 Aufrufe

An Introduction to Distributed Data Streaming

Vor 8 Jahren • 725 Aufrufe

Aggregate Sharing for User-Define Data Stream Windows

Vor 7 Jahren • 1541 Aufrufe

Single-Pass Graph Stream Analytics with Apache Flink

Vor 7 Jahren • 306 Aufrufe

Data Stream Analytics - Why they are important

Vor 7 Jahren • 853 Aufrufe

Graph Stream Processing : spinning fast, large scale, complex analytics

Vor 7 Jahren • 1501 Aufrufe

Not Less, Not More: Exactly Once, Large-Scale Stream Processing in Action

Vor 7 Jahren • 908 Aufrufe

Reintroducing the Stream Processor: A universal tool for continuous data analysis

Vor 7 Jahren • 622 Aufrufe

State Management in Apache Flink : Consistent Stateful Distributed Stream Processing

Vor 6 Jahren • 2472 Aufrufe

Continuous Deep Analytics

Vor 5 Jahren • 236 Aufrufe

A Future Look of Data Stream Processing as an Architecture for AI

Vor 5 Jahren • 180 Aufrufe

Asynchronous Epoch Commits for Fast and Reliable Data Stream Execution in Apache Flink

Vor 5 Jahren • 320 Aufrufe

Stream Loops on Flink - Reinventing the wheel for the streaming era

Vor 5 Jahren • 811 Aufrufe

Scalable and Reliable Data Stream Processing - Doctorate Seminar

Vor 5 Jahren • 274 Aufrufe

Continuous Intelligence - Intersecting Event-Based Business Logic and ML

Vor 4 Jahren • 318 Aufrufe

Gefällt mir

(3)

Syysgraph 2018 - Modern Graphics Abstractions & Real-Time Ray Tracing

Electronic Arts / DICE • Vor 5 Jahren

The Future of Apache Storm

P. Taylor Goetz • Vor 8 Jahren

Adventures in Timespace - How Apache Flink Handles Time and Windows

Aljoscha Krettek • Vor 8 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Stockholm County, Sweden Sweden
Beruf
PhD Candidate in Distributed Computing
Branche
Technology / Software / Internet
Webseite
https://www.kth.se/profile/parisc/
Info
I am an open source committer (Apache Flink®) and PhD researcher, working at the intersection of distributed systems, databases and programming languages. Parts of my work that people typically find cool include snapshots for exactly-once processing in distributed dataflow systems, data stream windowing and graph stream processing programming models. I also love to play and compose music! Do not miss our Cinco quintet if you ever visit Stockholm.
Tags
distributed systems data streaming stream processing data analytics big data apache flink databases machine learning fault tolerance distributed snapshots distributed computing programming systems computer science compilers artificial intelligence ai graph mining graph processing services computer systems data science data management cloud computing vldb continuous analytics interactive analytics information technology hadoop timely dataflow social media iterations data mining information tsunamis graph analysis analytics optimization cikm database engineering synopses windows eit zookeeper google snapshots high availability
Mehr anzeigen