Spark on Zeppelin

主题：
Spark on Zeppelin

时间：
5月21日 19：00

参与方式：
扫描下方海报二维码加入钉钉群
或者
届时点击直播间直接观看（回看链接）

https://developer.aliyun.com/live/2871

讲师介绍：
章剑锋（简锋），开源界老兵，Apache Member，曾就职于 Hortonworks，目前在阿里巴巴计算平台事业部任高级技术专家，并同时担任 Apache Tez、Livy 、Zeppelin 三个开源项目的 PMC ，以及 Apache Pig 的 Committer。

直播简介：
Apache Zeppelin 是一个交互式的大数据开发Notebook，从一开始就是为Spark定制的。Zeppelin Notebook的开发环境与传统IDE开发环境相比有几大优势：不需要编译Jar，环境配置简单，交互式开发，数据结果可视化等等。本次直播将会介绍Spark on Zeppelin的一些基本使用方式以及应用场景。

阿里巴巴开源大数据EMR技术团队成立Apache Spark中国技术社区，定期打造国内Spark线上线下交流活动。请持续关注。

邀请你加入钉钉群聊阿里云E-MapReduce交流2群，点击进入查看详情 https://qr.dingtalk.com/action/joingroup?code=v1,k1,cNBcqHn4TvG0iHpN3cSc1B86D1831SGMdvGu7PW+sm4=&_dt_no_comment=1&origin=11

邀请你加入钉钉群聊Apache Spark中国技术交流社区，点击进入查看详情 https://qr.dingtalk.com/action/joingroup?code=v1,k1,X7S/0/QcrLMkK7QZ5sw2oTvoYW49u0g5dvGu7PW+sm4=&_dt_no_comment=1&origin=11

微信公众号：Apache Spark技术交流社区

展开查看详情

1. Zeppelin Zeppelin Spark We are hiring P7 jeffzhang.zjf@alibaba-inc.com

2.Spark on Zeppelin Jeff Zhang

3.Who is Jeff Zhang 2008 2011 2013 2014 2018

4.Pain points of Big Data ● Hard to Test ● Hard to move development to production ● Hard to integrate with downstream application ● Hard to integrate with other tools

5.What is Apache Zeppelin Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala, Python and more.

6.Usage Scenarios ● Ad-hoc analytics ● ETL ● Build dashboard ● Machine Learning

7.Zeppelin Architecture Spark Interpreter Zeppelin Server WebSocket RPC Interpreter Client Launcher Jdbc Interpreter Rest Notebook Interpreter Manager Manager Shell Interpreter

8.Multiple language support SparkContext / SparkSession

9.Multiple spark version support Spark 1 Spark 2 Zeppelin Server Spark 3

10.Multiple mode support ● Local ● Standalone ● Yarn ● K8s

11.Inline Visualization

12.Dynamic forms TextBox Select Checkbox

13.Other features ● Inline Configuration ● Hive Integration ● Multiple user support Impersonation ● ZeppelinContext

14.Demo ● Configure & Start Zeppelin ● Configure Spark Interpreter ● Run Spark Tutorial ● Rest API

15.Pain points of Big Data ● Hard to Test ● Hard to move development to production ● Hard to integrate with downstream application ● Hard to integrate with other tools

16. Zeppelin Zeppelin Spark We are hiring P7 jeffzhang.zjf@alibaba-inc.com