On June 14th, the first Big data +AI Meetup jointly organized by the Computing Platform Business Division and The Ali Cloud developer community will be launched. Many technical experts from Ali, Databricks, Kuaihand and netease Cloud Music will gather here to discuss hot topics in the field of big data and AI!
Meetup highlights
- Flink 1.11, Spark 3.0, Alink 1.1.1 and other big data hot open source software core developers help you circle the highlights of the latest release
- What the real-time data warehouse, data lake, and HSAP architecture can do once and for all
- More frontline production environment combat, Spring Festival Gala Fast hands project, netease cloud music Flink + Kafka landing practice of exclusive precious experience sharing
- The audience super luxury guest lineup, broadcast room has prepared a variety of exquisite gifts, on-site delivery
How to watch
- Time: 10:00 — 18:00, June 14
- Live links: booking developer.aliyun.com/live/2894?s…
For more Meetup information, scan the qr code below for group consultation.
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(Big data + AI Meetup Group)
** * one Welfare: **
Forward this article to moments to participate in the lucky draw, 10 Flink paper learning materials waiting for you! Wechat scan code, contact the squirrel to participate in the lottery:
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Full agenda for Meetup
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The agenda for this Meetup afternoon is brief as follows.
01 “Flink + KafKa in the actual application of netease Cloud Music”
Yue fierce | netease cloud music real-time computing platform r&d engineers
Introduction:
This share mainly introduces the application practice based on Flink + Kafka in cloud music, including kafka flow table metadata management and use, using Flink + Kafka to build real-time data distribution function and based on flink+ Kafka real-time feature construction scenario some strategies and thinking.
02 how Delta Lake Helps Cloud Users To Solve real-time Data Warehousing Problems
XinYong | alibaba technical experts
Introduction:
Delta Lake has received a lot of attention in the industry since its release. Its ACID support, historical version backtracking, UPDATE/DELETE/MERGE INTO syntax support and other features perfectly fit the needs of users for data Lake content management. The multi-Hop architecture of the integrated flow and batch design greatly simplifies the cost of user operation and maintenance of the data pipeline, enabling the traditional ETL process to evolve into a more flexible ELT+ process. In this talk, we will share how EMR is using Delta Lake to help users with real-time data warehousing, and what we have done to improve and explore Delta Lake in the process.
# # “gala activity quickly under real-time link security practices” jian-gang liu | well quickly development engineers
Introduction:
This sharing mainly introduces the guarantee work done by Kuaishou to ensure the company’s real-time link business requirements under the 2020 Spring Festival Gala. It includes hierarchical guarantee scheme for real-time tasks, overall link stability guarantee, typical service scenarios and pressure measurement guarantee scheme, etc. Finally, under a series of guarantees, the real-time link successfully withstood the pressure of the Spring Festival Gala and ensured the smooth completion of the activities.
04 “Flink 1.11 Table & SQL in-depth Interpretation”
DJ dee (letter) | alibaba technical experts
Introduction:
Flink SQL 1.11 is a new version of Flink SQL 1.11, which includes a number of features to improve the ease of use and functionality of SQL. It not only enhances the ease of use and flexibility in the field of stream processing, but also greatly develops the role of Flink in the unified architecture of stream batch.
- DDL ease of use improved
- Change the table refactoring
- Hive Streaming Source&Sink&Join
- Hive DDL Dialect
- Filesystem connector
The above is the detailed introduction of this Meetup afternoon. We are looking forward to your coming at 10:00 on June 14 at the Big data +AI Meetup live broadcast room. There are more exquisite gifts, you can get them if you participate in the interaction! Click the link below to schedule Meetup live ~
Meet up live > > developer.aliyun.com/live/2894?s…