AtScale Blog

How Do you 'Do Big Data Analytics Right'?

Posted by AtScale on Feb 1, 2017

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Yes, there are actually ways to 'Do Big Data Analytics Right'.  

Leaders and innovators in the Big Data space have learned the hard way, and now those of you looking to dip your toe, or jump head first, into the BI on Big Data waters can capitalize on their early experiences. Let go of the fear or ego or whatever may be holding you back and take the chance to learn from those who took the early adopter risk. 

Avoid the Traps and Embrace Guiding Principles

For those of you who were unable to join our webinar last week, 5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics, you can now view it on-demand whenever it's most convenient for you. 

Listen and learn from Analytics and Big Data industry veterans Josh Klahr, AtScale’s V.P. of Product Management, along with Thomas Dinsmore, Author and Big Data Advisor, and Hal Lavender, AVP & Global Leader of Information Architecture at Cognizant, as they share challenges and guidelines to help you stay on the right track for Big Data success in 2017.

This on-demand webinar delves in delivering business user access, along with security and governance controls; why and what leading enterprises are choosing for their Big Data Analytics tools and platforms; how 75% of enterprises are planning to drive Big Data value; and many other important pressing BI on Big Data topics.

 Set aside an hour from your busy schedule for this must watch webinar. Once you’ve taken the time to digest the wealth of information offered, we’d love to hear your feedback on what you took away from the panel’s discussion on Big Data Analytics.

Listen. Learn. Share

Watch the on-demand webinar in its entirety HERE

Now we know we can't cover 'everything' in a 1-hour webinar, so please share any best practices or experiences (the good, bad and ugly) of your own that weren't included.  We all get better and stronger by sharing and capitalizing on each others' experiences.

~ Thanks and until next time, The AtScale Team

Topics: Hadoop, bi-on-hadoop, Big Data, Cloud, Analytics, Data, Webinar, BI on Big Data, Data Lake

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