大數據分析JavaOne2017

先來分享下我下載到的slides，應該能下載的大部分都在裏面了Slides。也能夠前往遜堯的分享下載部分PPT和了解更多JAVAONE內容https://www.atatech.org/articles/91571

JavaOne的數據分析

咱也來一把標題黨，是否是大數據分析不重要，本文絕對有助於你們全面瞭解JavaOne。從我本身開發的"NLP"工具對session title進行了分析，不能作到極其嚴謹，由於有的session跟我不同，是真正的標題黨。

1）先來總結一下吧

這次JavaOne共有個498個Session，總結來看JAVA和ORACLE是徹底認知和擁抱雲計算和大數據這個已經到來的將來。微服務技術更加成熟，業內有了更多的思考。DOCKER，DEVOPS，KUBERNETS被說起也處於前列。而JAVA技術自己在往微服務，異步化(消息化)，Steams，REACTIVE，函數式方向發展。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) 這次JavaOne被說起5次以上的topic及數量以下。

• 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

說實話咱們可裏在大規模系統的建設上是全世界全部公司須要學習的。可是最新技術的探索使用，在效率、標準化、擁抱生態等方面，咱們仍是相對落後的，業內討論最多的一些技術咱們甚至都沒據說過。是否是有的時候應該有人稍微停下來，審視下咱們的技術與業內的GAP，取長補短，這樣長此一往，咱們不只scalable, resilient方面很強，咱們的效率仍是最好的。