Regional Scrum Gathering Tokyo 2018 セッション「Panel - 実感駆動でものづくり ー 協調学習過程としてのスクラム。欲しいものを、どうやって知るか。」にて使用したスライドです。(補足情報を追記しております) https://confengine.com/regional-scrum-gathering-tokyo-2018/proposal/5132/panel-Read less
![カネとAgile #RSGT2018](https://cdn-ak-scissors.b.st-hatena.com/image/square/f56e86595a6170721c6a73758a93fabf552cbc29/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Frsgt2018-180113034721-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)
Regional Scrum Gathering Tokyo 2018 セッション「Panel - 実感駆動でものづくり ー 協調学習過程としてのスクラム。欲しいものを、どうやって知るか。」にて使用したスライドです。(補足情報を追記しております) https://confengine.com/regional-scrum-gathering-tokyo-2018/proposal/5132/panel-Read less
The WHERE clause restrictions depend on the type of statement, type of column, and whether a secondary index is used. For SELECT statements on partition keys, either all keys must be restricted or none. Clustering columns cannot be restricted if preceding ones are not. Secondary indexes allow restricting columns not in the primary key.Read less
kubernetes上で自社サービスを動かしているのですが、そこでどのようにdatadogを動かして利用しているかを説明しています。半分以上kubernetesの説明になっています。
C* Summit 2013: Real-time Analytics using Cassandra, Spark and Shark by Evan Chan This session covers our experience with using the Spark and Shark frameworks for running real-time queries on top of Cassandra data.We will start by surveying the current Cassandra analytics landscape, including Hadoop and HIVE, and touch on the use of custom input formats to extract data from Cassandra. We will then
AWS Storage and Database Architecture Best Practices (DAT203) | AWS re:Invent 2013 Learn about architecture best practices for combining AWS storage and database technologies. We outline AWS storage options (Amazon EBS, Amazon EC2 Instance Storage, Amazon S3 and Amazon Glacier) along with AWS database options including Amazon ElastiCache (in-memory data store), Amazon RDS (SQL database), Amazon Dy
This document discusses Kafka, a distributed messaging system originally created by LinkedIn and now an Apache project. It provides an overview of how Kafka works and how various companies use it, including for log processing (LinkedIn), analytics (Facebook, Twitter, Google), and integrating with other technologies like Hadoop, Zookeeper, HBase and Storm. It also covers Kafka's scalability, perfor
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