У нас вы можете посмотреть бесплатно Eliminate Data Lake Ops and Shrink Your Presto & Trino Clusters | Varada.io или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Presto and Trino deliver tremendous value with a distributed query engine, that runs directly on YOUR data lake and in YOUR cloud environment. But you are likely struggling with enormous clusters for your data lake analytics (if not, you’ll get there soon). Partitioning may sound like the right solution, brute force technology makes it far less effective due to the high dimensionality of modern data schemas and the rising level of selectivity data consumers demand. Varada's autonomous indexing platform delivers is a zero dataops solution to ensure performance requirements are met without losing control over your cluster. Varada easily connects to existing Presto or Trino clusters via a connector. That’s it for you. It’s totally hands-free. Based on a smart observability layer, the data indexing software knows which index to use on each dataset, which data to accelerate, and when. Varada is very light on compute, so you can shrink the cluster back to a predictable and manageable size, and reduce data scans by at least an order of magnitude. 🌟The result is queries that run 10x-100x faster and TCO reduction of 40%-60%! Interested to dig deeper? Book a live demo go to: https://get.varada.io/letstalk ✿ Social Links: LinkedIn: / varadaio Twitter: / varadaio 🌐Check Out Our Website! https://varada.io 🔔 SUBSCRIBE IF YOU ARE NEW AND TURN THE BELL ON Watch More Videos: ▶️ Leverage the Power of Big Data Index to Dramatically Accelerate Queries on AWS Athena • The Data Virtualization Evolution: Presto ... Thanks for being with us! 👍 Like the video 💬 Comment if you made it till the end! 🔗 Share the video with anyone you think it might help :)