HDP-HDF Auto Scaling on Azure Using Cloudbreak
Data-driven technology! That’s where every business is betting their services to expand their approach of being relevant in the market. Cloud services are becoming native solution to host business infrastructure for the economies of scale, scalability and reliability solution. If data is huge and complexity is deepen then Hadoop solution, is considered as one of the top most preferable option. But how Hadoop can deal with a scalable infrastructure solution?
This space was bridged by public cloud service providers to present their managed solution such as AWS EMR and Azure HDInsights. However, with some limitation of customization. Then, how can a business (so, does our client) can achieve a secured, scalable, reliable, cost effective and customizable solution on cloud? The answer is Hortonworks and its acquisition of SequenceIQ for presenting cloud scalable deployment solution with Cloudbreak.
This relevant gap for our client has presented us an opportunity to create an integrated and secured framework of Hortonworks Data platform (HDP) and Hortonworks Data flow (HDF) on Microsoft Azure IaaS using Cloudbreak. So that, it can not only help our clients to make faster business decisions or analytics but also to achieve economies of scale with highly scalable infrastructure solution.
Смотрите видео HDP-HDF Auto Scaling on Azure Using Cloudbreak онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь DataWorks Summit 23 Апрель 2019, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 51 раз и оно понравилось людям.