Mesos勉強会 http://connpass.com/event/36415/ で発表したスライドです
![Mesos Frameworkの作り方 (How to Make Mesos Framework)](https://cdn-ak-scissors.b.st-hatena.com/image/square/0442f2abd2e356c3e1e4dee953057ba4e6dded90/height=288;version=1;width=512/https%3A%2F%2Ffiles.speakerdeck.com%2Fpresentations%2F759e5933c08c4460a10ab21b97949384%2Fslide_0.jpg%3F6667248)
Apache Parquet is a columnar storage format available to any component in the Hadoop ecosystem, regardless of the data processing framework, data model, or programming language. The Parquet file format incorporates several features that support data warehouse-style operations: Columnar storage layout - A query can examine and perform calculations on all values for a column while reading only a sma
Lambda-less Stream Processing @Scale in LinkedIn The document discusses challenges with stream processing including data accuracy and reprocessing. It proposes a "lambda-less" approach using windowed computations and handling late and out-of-order events to produce eventually correct results. Samza is used in LinkedIn's implementation to store streaming data locally using RocksDB for processing wi
Previously we wrote about our traffic intuition tool, Flux. We have some announcements and updates to share about this project. First, we have renamed the project to Vizceral. More importantly, Vizceral is now open source! Open SourceVizceral transformed the way we understand and digest information about the state of traffic flowing into the Netflix control plane. We wanted to be able to intuit de
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