{"id":14590,"date":"2023-11-13T03:10:07","date_gmt":"2023-11-13T11:10:07","guid":{"rendered":"https:\/\/www.pingcap.com\/?post_type=event&#038;p=14590"},"modified":"2024-06-03T07:20:40","modified_gmt":"2024-06-03T14:20:40","slug":"practical-use-cases-for-database-optimization-while-gaining-performance","status":"publish","type":"event","link":"https:\/\/www.pingcap.com\/ko\/event\/practical-use-cases-for-database-optimization-while-gaining-performance\/","title":{"rendered":"Practical use cases for database optimization while gaining performance"},"content":{"rendered":"<p><strong>Date and Time:<\/strong>&nbsp; December 13 from 17:30 &#8211; 20:30 <\/p>\n\n\n\n<p><strong>Location<\/strong>: JuggleHUB Coworking, Christburger Stra\u00dfe 23, 10405 Berlin ( <a href=\"https:\/\/www.google.com\/maps\/place\/juggleHUB+Coworking\/@52.5344635,13.4141692,13z\/data=!4m6!3m5!1s0x47a84e08b49fa627:0xb31625fd2bcacb97!8m2!3d52.5346972!4d13.4305139!16s%2Fg%2F11cnctryjc?entry=ttu\">google map <\/a>) <\/p>\n\n\n\n<p><strong>Registration link:<\/strong> <a href=\"https:\/\/www.meetup.com\/real-time-data-at-scale-berlin\/events\/297333057\/?isFirstPublish=true\">https:\/\/www.meetup.com\/real-time-data-at-scale-berlin\/events\/297333057\/?isFirstPublish=true<\/a><\/p>\n\n\n\n<p>As businesses grow and data volumes increase, the demand for scalable and high-performance databases has never been more critical.&nbsp;<\/p>\n\n\n\n<p>You\u2019re invited to our upcoming meetup where we\u2019ll explore Distributed SQL\u2019s transformative impact on database performance.&nbsp;<\/p>\n\n\n\n<p>Join us for enlightening sessions where you\u2019ll dive into the intricacies of Distributed SQL. You\u2019ll discover how this evolved database category solves scalability and sharding challenges often faced by traditional relational databases.<\/p>\n\n\n\n<p><strong>Agenda:<\/strong><\/p>\n\n\n\n<p>17:30 &#8211; 18:00 networking<\/p>\n\n\n\n<p>18:00 &#8211; 18:40 Introduction to Distributed SQL &#8211; TiDB (Mattias Jonsson &#8211; Senior Database Engineer)<\/p>\n\n\n\n<p>18:45 &#8211; 1910 How Bolt built a tiered database solution with TiDB, MySQL and DM. (by Andrei Fedorov)<\/p>\n\n\n\n<p>19:15 &#8211; 19:30 BREAK<\/p>\n\n\n\n<p>19:35 &#8211; 20:15 TiDB Demo (Daniel Van Eeden &#8211; Technical Solutions Engineer)<\/p>\n\n\n\n<p>20:15 &#8211; 20:30 Networking<\/p>\n\n\n\n<p><strong>Who Should Attend:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>IT Professionals<\/li>\n\n\n\n<li>Database Administrators<\/li>\n\n\n\n<li>Developers<\/li>\n\n\n\n<li>Data Engineers<\/li>\n\n\n\n<li>Technology Enthusiasts<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Date and Time:&nbsp; December 13 from 17:30 &#8211; 20:30 Location: JuggleHUB Coworking, Christburger Stra\u00dfe 23, 10405 Berlin ( google map ) Registration link: https:\/\/www.meetup.com\/real-time-data-at-scale-berlin\/events\/297333057\/?isFirstPublish=true As businesses grow and data volumes increase, the demand for scalable and high-performance databases has never been more critical.&nbsp; You\u2019re invited to our upcoming meetup where we\u2019ll explore Distributed SQL\u2019s transformative [&hellip;]<\/p>\n","protected":false},"featured_media":14618,"template":"","categories":[18],"tags":[],"region":[215],"location":[206],"class_list":["post-14590","event","type-event","status-publish","has-post-thumbnail","hentry","category-community","region-emea","location-in-person"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Practical Use Cases for Database Optimization | PingCAP<\/title>\n<meta name=\"description\" content=\"Discover how distributed SQL database solves scalability and sharding challenges often faced by traditional relational databases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pingcap.com\/ko\/event\/practical-use-cases-for-database-optimization-while-gaining-performance\/\" 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