AtScale Blog

The Ultimate Big Data Architecture Checklist

Posted by Rudy Widjaja on Aug 3, 2018

22706473_l.jpg The joy of working as a Customer Success Solution Architect is that I have the opportunity to work with many different customers and each challenges us with a different Big Data use case.

I've worked with enterprises that offload their Netezza database into the cloud. I've seen companies analyze social media data in real-time. I've helped teams streamline operational processes and increase efficiency in production lines. Big Data provides enterprises a competitive advantage and reduces operational costs across a these varied scenarios. However, setting up a big data environment is not for the faint-hearted - or is it?

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Topics: BI, Analytics, Data, BI on Big Data, Data Lake, best practices

API - Using AtScale’s Webhooks

Posted by Vadim Gekhman on Apr 9, 2018

Often times, customers approach me with questions around AtScale’s ability to integrate into the customer’s operational stack.  Today, I want to highlight a component of AtScale’s Development Extensions called Webhooks.

 A webhook (also called a web callback or HTTP push API) is a way for an application to provide other applications with real-time information. A webhook delivers data to other applications as certain events occur, meaning you get data immediately as opposed to a REST API which you would need to poll for data very frequently in order to get it close to real-time. This makes webhooks much more efficient for both provider and consumer.

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Topics: BI, Analytics, Data, BI on Big Data, best practices, webhooks, API

Through the Eyes of a BI Author: Why Tableau and AtScale make a great solution together

Posted by Wendy Gradek on Mar 21, 2018

If you are like me, a Tableau fan, you’ve probably used Tableau for many years, attended numerous Tableau Conferences, and cheered with great enthusiasm when the engineers at Tableau demonstrated the latest and greatest enhancements to the software.  You may also be very accustomed to creating your own calculations based on the row level data you are connected to.  You enjoy the freedoms that Tableau offers.   

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Topics: Tableau, bi-on-hadoop, Analytics, BI on Big Data, best practices

Happy Data = Happy Users? Maximizing AtScale and Tableau

Posted by Tricia Lord on Mar 8, 2018

Congratulations!  Your data is controlled, aggregated and turbocharged in your AtScale virtual cube.  You have Tableau to create remarkable visualizations. Your data is happy! But are your cube designers and business users too? For instance, did you know that centralizing calculations in your AtScale Virtual Cube eliminates TDE perpetuation, 3rd party ETL processes and version control headaches?  For an enhanced AtScale experience, here are 5 Best Practices you should be implementing in order to maximize AtScale on Tableau.


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Topics: Business Intelligence, Big Data, BI, Analytics, BI on Big Data, best practices

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