msyktのブックマーク / 2020年2月23日

msykt id:msykt

2020年2月23日のブックマーク (5件)

https://jp.techcrunch.com/2020/02/17/2020-02-13-innovaccer-wants-to-be-the-service-that-unifies-all-healthcare-data/
msykt 2020/02/23
“「つながっているケアフレームワークと、最先端のデータ集約・分析プラットフォームを組み合わせることによって、彼らは患者記録を統合し、医療チームが患者治療の新しいレベルを達成できるようにした」とメタ氏は

healthcare
リンク
Data Infrastructure Automation For Private SaaS At Snowplow
This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here. Support the show! 18 February 2020 Data Infrastructure Automation For Private SaaS At Snowplow - E120 Summary One of the biggest challenges in building reliable p
msykt 2020/02/23
“In this episode Josh Beemster, the technical operations lead at Snowplow, explains how they manage automation, deployment, monitoring, scaling, and maintenance of their streaming analytics pipeline for event data. He also shares the challenges they face in supporting multiple cloud environments a

podcast
リンク
Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry - Software Engineering Daily
msykt 2020/02/23
“Arjun Narayan and Frank McSherry are the co-founders of Materialize, a company whose technology is based on the Naiad paper, which was written at Microsoft Research. Arjun and Frank join the show to talk about modern streaming systems and their strategy for taking an academic paper and productizi

podcast
リンク
Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry - Software Engineering Daily
Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry Distributed stream processing frameworks are used to rapidly ingest and aggregate large volumes of incoming data. These frameworks often require the application developer to write imperative logic describing how that data should be processed. For example, a high volume of clickstream data that is getting buffered to Ka
msykt 2020/02/23
“Arjun Narayan and Frank McSherry are the co-founders of Materialize, a company whose technology is based on the Naiad paper, which was written at Microsoft Research. Arjun and Frank join the show to talk about modern streaming systems and their strategy for taking an academic paper and productizi

podcast
リンク
LinkedIn Data Infrastructure - Software Engineering Daily
LinkedIn has become a staple for the modern professional, whether it’s used for searching for a new job, reading industry news, or keeping up with professional connections. As a rapidly growing platform that serves more than 675 million users today, LinkedIn is a company that can boast of having one of the largest user bases in the world. How these users interact with the site and react to recomme
msykt 2020/02/23
kafka

datamanagement
リンク
- 2020年2月25日
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