大資料分析JavaOne2017

weixin_34239169發表於2017-11-06

摘要: 先來分享下我下載到的slides,應該能下載的大部分都在裡面了Slides。也可以前往遜堯的分享下載部分PPT和了解更多JAVAONE內容www.atatech.org/articles/91… JavaOne的資料分析 我們也來一把標題黨,是不是大資料分析不重要,本文絕對有助於大家全面瞭解JavaOne。

先來分享下我下載到的slides,應該能下載的大部分都在裡面了Slides。也可以前往遜堯的分享下載部分PPT和了解更多JAVAONE內容www.atatech.org/articles/91…

JavaOne的資料分析
我們也來一把標題黨,是不是大資料分析不重要,本文絕對有助於大家全面瞭解JavaOne。從我自己開發的"NLP"工具對session title進行了分析,不能做到極其嚴謹,因為有的session跟我不一樣,是真正的標題黨。

1)先來總結一下吧

此次JavaOne共有個498個Session,總結來看JAVA和ORACLE是完全認知和擁抱雲端計算和大資料這個已經到來的未來。微服務技術更加成熟,業內有了更多的思考。DOCKER,DEVOPS,KUBERNETS被提及也處於前列。而JAVA技術本身在往微服務,非同步化(訊息化),Steams,REACTIVE,函式式方向發展。業內也出現了一些較新的技術和理念,像Serverless,Event Sourcing,CQRS等等,這些其實也都是在圍繞微服務展開。

2) Session詳情

1) 此次JavaOne被提及5次以上的topic及數量如下。

Topic: JAVA with counts 187
Topic: JAVA9 with counts 83
Topic: JAVAEE with counts 82
Topic: CLOUD with counts 45
Topic: MICROSERVICES with counts 30
Topic: ORACLE with counts 28
Topic: DATA with counts 27
Topic: APPLICATIONS with counts 24
Topic: APPS with counts 17
Topic: WEB with counts 17
Topic: DATABASE with counts 17
Topic: DEVELOPERS with counts 17
Topic: ORACLECLOUD with counts 15
Topic: KUBERNETES with counts 15
Topic: APACHE with counts 15
Topic: DOCKER with counts 15
Topic: BUILDING with counts 15
Topic: DEVOPS with counts 15
Topic: DEVELOPMENT with counts 13
Topic: TOOLS with counts 13
Topic: JAVAFX with counts 13
Topic: API with counts 13
Topic: APPLICATION with counts 12
Topic: CODE with counts 12
Topic: MOBILE with counts 11
Topic: BUILD with counts 11
Topic: OPEN with counts 11
Topic: JAVASCRIPT with counts 11
Topic: SECURITY with counts 10
Topic: MACHINELEARNING with counts 10
Topic: PERFORMANCE with counts 10
Topic: PATTERNS with counts 10
Topic: CONTAINERS with counts 10
Topic: IOT with counts 10
Topic: JVM with counts 10
Topic: REACTIVE with counts 10
Topic: OPENSOURCE with counts 10
Topic: KOTLIN with counts 9
Topic: SYSTEMS with counts 9
Topic: DESIGN with counts 8
Topic: GUIDE with counts 8
Topic: STREAMS with counts 8
Topic: DEVELOPER with counts 8
Topic: COMMUNITY with counts 8
Topic: ENTERPRISE with counts 8
Topic: PRACTICES with counts 8
Topic: KAFKA with counts 8
Topic: SPARK with counts 8
Topic: MODULES with counts 7
Topic: FUNCTIONAL with counts 7
Topic: SCALE with counts 7
Topic: JAVADEVELOPERS with counts 7
Topic: JAVA8 with counts 7
Topic: BESTPRACTICES with counts 7
Topic: ONORACLECLOUD with counts 7
Topic: PROGRAMMING with counts 6
Topic: JAVAAPPS with counts 6
Topic: DEVELOPING with counts 6
Topic: SERVERLESS with counts 6
Topic: CLOUDNATIVE with counts 6
Topic: SCALA with counts 6
Topic: REALTIME with counts 6
Topic: BLOCKCHAIN with counts 6
Topic: ECLIPSE with counts 6
Topic: SERVICE with counts 6
Topic: SQL with counts 5
Topic: BIGDATA with counts 5
Topic: JSON with counts 5
Topic: ANALYTICS with counts 5
Topic: DESIGNPATTERNS with counts 5
Topic: NODEJS with counts 5
1.3 一點感想

說實話我們可裡在大規模系統的建設上是全世界所有公司需要學習的。但是最新技術的探索使用,在效率、標準化、擁抱生態等方面,我們還是相對落後的,業內討論最多的一些技術我們甚至都沒聽說過。是不是有的時候應該有人稍微停下來,審視下我們的技術與業內的GAP,取長補短,這樣長此一往,我們不僅scalable, resilient方面很強,我們的效率還是最好的。

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