Flink SQL: From Real-time Pattern Detection to Online View Maintenance
In this talk, we’ll explore the basics of Flink SQL and showcase how you can easily build and deploy analytical applications ranging from real-time pattern detection to online view maintenance.
As stream processing becomes the standard for real-time analytics and event-driven applications, the pressure to efficiently derive insights from an ever-growing amount of data is unparalleled. While we have more powerful tools than ever to build scalable and reliable data pipelines, the time and expertise required to master them is significant. SQL is making a comeback as a way to lower the entry barrier of this fast-paced data world, making the inherent potential of streaming data more accessible and more broadly used across organizations. Flink SQL is a high-level abstraction that is widely used to power business-critical applications at companies like Alibaba, Yelp, Uber or Huawei. In this talk, we’ll explore the basics of Flink SQL and showcase how you can easily build and deploy analytical applications ranging from real-time pattern detection to online view maintenance.
Author Name: Big Data LDN
Author Description:
Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.
Table of Contents
- Flink SQL: From Real-time Pattern Detection to Online View Maintenance
31mins
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