English | Size: 245.67 MB
Genre: eLearning
Working with streaming data at scale is hard. Before you realize, you can end up with a very sophisticated architecture with different moving parts you need to secure, monitor, and scale independently. In this session, you will learn how to work with real-time data, at any scale, by leveraging open source tools, managed services provided by Amazon Web Services, or a combination of both. Key takeaways from Javier Ramirez’s talk include identifying the challenges of streaming data, learning different patterns in stream data processing, and moving from on-prem to serverless auto-scaling streaming analytics.
nitroflare.com/view/C427D9BE9FA5D43/PL.Real.Time.Data.Analytics.At.Scale.Using.Cloud.Services.18.4.part1.rar
nitroflare.com/view/34132D7337DFD75/PL.Real.Time.Data.Analytics.At.Scale.Using.Cloud.Services.18.4.part2.rar
rapidgator.net/file/ab54903ed1aa7f4649671ffb4b7c5673/PL.Real.Time.Data.Analytics.At.Scale.Using.Cloud.Services.18.4.part1.rar.html
rapidgator.net/file/d04fcbe9f3bc58b1147c2170dc174756/PL.Real.Time.Data.Analytics.At.Scale.Using.Cloud.Services.18.4.part2.rar.html
If any links die or problem unrar, send request to
forms.gle/e557HbjJ5vatekDV9