{"id":12047,"date":"2023-06-08T10:04:31","date_gmt":"2023-06-08T17:04:31","guid":{"rendered":"https:\/\/www.pingcap.com\/?post_type=event&p=12047"},"modified":"2024-06-17T18:38:00","modified_gmt":"2024-06-18T01:38:00","slug":"why-distributed-sql-for-elastic-data-performance","status":"publish","type":"event","link":"https:\/\/www.pingcap.com\/ko\/event\/why-distributed-sql-for-elastic-data-performance\/","title":{"rendered":"Why Distributed SQL for Elastic Data Performance"},"content":{"rendered":"
Software as a Service (SaaS) companies are experiencing rapid growth as buying habits shift from analog, in-person interactions to fully-digital transactions. This increase in demand impacts all facets of a SaaS business, but none more so than its data.<\/p>\n\n\n\n
Many SaaS applications need to process mission-critical data, display data on multiple views, support complex ad-hoc queries on arbitrary fields, and make frequent schema changes. As a result, these applications must be highly available, provide sub-second latency, and scale to handle 10K+ tenants.<\/p>\n\n\n\n
In this webinar, we\u2019ll explore the challenges of scaling modern SaaS applications and how they can be solved with a distributed SQL database. You\u2019ll discover:<\/p>\n\n\n\n
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Why a distributed SQL database is an ideal solution for extreme application scalability, reliability, and versatility<\/li>\n\n\n\n
Distributed SQL architecture and how it works in a typical SaaS use case<\/li>\n\n\n\n
The true facts behind popular distributed SQL myths<\/li>\n<\/ul>\n\n\n\n
By the end of this webinar, you\u2019ll be ready to take your SaaS application to the next level with a future-proof transactional database. You\u2019ll also have all the knowledge you need to find the signal in the noise that is the distributed SQL database landscape.<\/p>\n\n\n\n
<\/div>\n\n\n\n
Speaker: <\/strong><\/p>\n\n\n\n
<\/div>\n\n\n\n
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\n<\/figure>\n<\/div>\n\n\n\n
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Liquan Pei<\/strong><\/p>\n\n\n\n
Technology Evangelist<\/strong><\/p>\n\n\n\n
Liquan is a Technology Evangelist at PingCAP. Before PingCAP, he was the tech lead of the ads stream processing system at Pinterest. Prior to that, he worked at Confluent, focusing on Kafka and Kafka Connect. He is an open-source contributor to Apache Kafka and Apache Spark and was a speaker at Kafka Summit 2018 and 2019. <\/p>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"
Software as a Service (SaaS) companies are experiencing rapid growth as buying habits shift from analog, in-person interactions to fully-digital transactions. This increase in demand impacts all facets of a SaaS business, but none more so than its data. Many SaaS applications need to process mission-critical data, display data on multiple views, support complex ad-hoc […]<\/p>\n","protected":false},"featured_media":12421,"template":"","categories":[25],"tags":[147,16,9,196],"region":[216],"location":[207],"class_list":["post-12047","event","type-event","status-publish","has-post-thumbnail","hentry","category-company","tag-distributed-sql","tag-distributed-system","tag-scalability","tag-transactional-database","region-north-america","location-virtual"],"acf":[],"yoast_head":"\n
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![\"\"](\"https:\/\/static.pingcap.com\/files\/2023\/05\/18091459\/Liquan-Profile-Picture-modified.png\")
<\/figure>\n<\/div>\n\n\n\n