))
Mastering Database Performance: Optimizing Large Tables for Read and Write Workloads
Arkiverad serie ("Inaktivt flöde" status)
When?
This feed was archived on October 05, 2024 11:36 (
Why? Inaktivt flöde status. Våra servar kunde inte hämta ett giltigt podcast-flöde under en längre period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 435232502 series 3594244
Innehåll tillhandahållet av Crashcasts. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Crashcasts eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Dive into the world of database performance optimization for large-scale systems with expert insights from seasoned database professional Victor.
In this episode, we explore:
- Fundamental optimization techniques for massive tables, including indexing and partitioning
- Strategies for enhancing read-heavy workloads through caching and replication
- Tactics to boost write-heavy scenarios using write-back caching and sharding
- Advanced optimization methods and long-term performance maintenance
Tune in for a comprehensive guide to mastering database performance and ace your next backend engineering interview.
Want to dive deeper into this topic? Check out our blog post here: Read more
26 episoder
Dela
