The Traditional Architectural Approach to Big Data Analytics Apps Won't Survive


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Abstract: Everyone knows the world is becoming more digitized every day, fueling an unprecedented growth in data. This has huge implications for how enterprises interact with that data to gain insight and a competitive edge. To survive, you need to tap into data-in-motion, shifting analytics to the point of data creation, before it lands in a data lake. Applications built on traditional architectures are becoming increasingly ill-equipped to keep pace with the need for fast, big data.
This webinar will explain why, and more importantly, how you can get ahead with pre-built, end-to-end applications designed to address virtually any use case for the freshest insights and action you need to make better business decisions.
Presenter: Nathan Trueblood, DataTorrent, VP Product Management
Please register for the webinar at:
https://attendee.gotowebinar.com/register/5833976097944657666
After registering, you will receive a confirmation email containing information about joining the webinar.
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Templates include the ability to parse, error check, transform, and act on before loading. Additionally, you can add/modify your custom logic on transformation, alerts, and actions. Templates include real-time dashboarding for instant views and historical views.
Brought to you by DataTorrent (https://www.datatorrent.com/?utm_source=meetup&utm_campaign=links_in_description&utm_medium=meetup_links).

The Traditional Architectural Approach to Big Data Analytics Apps Won't Survive