AtScale Blog

Bruno Aziza

Find me on:

Recent Posts

Up And To The Right!

Posted by Bruno Aziza on May 20, 2016

What a week! You might have already read some of the press that covered the AtScale news this or even read our CEO blog, as he expands on the details of our announce...

Read More

Topics: Hadoop, Business Intelligence, Big Data

Excel is more a Friend than Foe...

Posted by Bruno Aziza on May 14, 2016

This week-end, we came across Professor Clint Tuttle, a very creative MIS teacher at University of Texas at Austin.  You'll be blown away by what he does during his lectures. 

Read More

Topics: Hadoop, Business Intelligence, Big Data

The BB-8 Reasons You Should Care About BI-on-Hadoop

Posted by Bruno Aziza on Mar 19, 2016

The BI on Hadoop market is at an interesting intersection...even event-wise.  This past week, the Gartner Business Intelligence Summit gathered over 2,000 Analytics enthusiasts, and next week the O'Reilly Strata Conference will see 4,000 Big Data nerds like me discuss the future of Hadoop.  The space is evolving fast.  It's possible you might have missed a few things.  Below a "re-cap" of the Gartner BI Summit and a "pre-cap" of the O'Reilly Strata San Jose event.

Read More

Topics: Hadoop, Tableau, Gartner, forrester, GartnerBI, Microsoft Excel

Spark Summit: 5 Things You Should Know

Posted by Bruno Aziza on Feb 13, 2016

Spark Summit 2016 kicks off next week in NYC and thousands are expected to attend the event, whose theme this year is "Data Science and Engineering At Scale". Great companies will be presenting - from Comcast to Thales and Viacom...

Read More

Topics: Hadoop, spark

Gartner Magic Quadrant for Business Intelligence (BI) 2016: The Good, The Bad, The Ugly...

Posted by Bruno Aziza on Feb 5, 2016

Yesterday, Gartner published the 2016 Magic Quadrant for Business Intelligence.  The MQ research for BI has been in existence for close to a decade; it is THE document of reference for buyers of Business Intelligence technology.

Read More

Topics: Gartner

What Gartner, IDC & Forrester say about BI on Hadoop...and real world examples...

Posted by Bruno Aziza on Jan 22, 2016

Forrester recently released great insights about the state of the Hadoop market.  The research study acts as yet another data point for what we have been calling the "no-so-silent data revolution".... 

In 2015, AtScale experienced tremendous acceleration and we have welcomed a large number of enterprises onto our platform.  Please see more about our "2015 Highlights" summary here.

Additionally, if you are curious to hear about one of these enterprises, tune in for our "Best Practices Session" on March 10 at 10am PST, when Seetha Chakrapany, Macy's Director of Analytics discusses organizations can modernize their Data Architecture for BI on Hadoop.  Reserve your spot here today!

Read More

The "Easy Button" for BI on Hadoop.  AtScale brings simplicity, speed and security for Tableau on Hadoop

Posted by Bruno Aziza on Jan 11, 2016

We're opening 2016 with great news for anyone who's trying to make BI work on Hadoop!  We’ve partnered with Tableau to bring to market an offer that, we believe, will eradicate the issues customers run into when connecting Tableau to Hadoop directly.

Read More

Topics: Hadoop, Tableau, Big Data

Lessons in Entrepreneurship and Big Data: 4 Must-Read Books

Posted by Bruno Aziza on Dec 22, 2015

2016 is bound to bring a wake-up call to tech industry observers. Many will find out that their favorite “unicorns” were actually “donkeys”, and that forgetting to focus on revenue is a capital sin in the enterprise software world.

Read More

The Future is Here.  It's Just Not Evenly Distribut...

Posted by Bruno Aziza on Dec 14, 2015

One of my favorite business quotes is the one featured in this blog's photo:  "The future is here.  It's just not evenly distributed yet" (William Gibson).

When I look back at 2015 and the amazing accomplishments of our team and our customers, I can't help to think that, we are building the future here.  And while many got access to it in 2015 already, many more will be able to benefit from it very soon.

We've had a great time serving you and the community in 2015: 

We can't wait to meet you all at next year's Big Data events such as the Strata Conferences, Gartner BI as well as many of our partners' events and roadshows!  If you ever have a question about our direction, please email me directly at  

As you consider AtScale, understand what we ARE, and what we are NOT.  We are NOT another "Tableau 2.0" company.  We are NOT a replacement for your entire BI stack: we are the "Business Interface for Hadoop".  

  • Not clear about what that means?  Simply watch this 2-minute video.
  • For a quick answer to what we are NOT, what the below 2-minute interview

Happy Holidays to all and...Analytically Yours!

Read More

Topics: Hadoop, Tableau, Business Intelligence

Has Spark Killed Hadoop?!

Posted by Bruno Aziza on Dec 11, 2015

One of the "buzziest" subjects of conversation in the Big Data scene this past year has been Spark.  The powerful open source processing engine developed in 2009 has gotten some great traction and many have covered the stories of community adoption and growth.  

As one would expect though, some of the buzz spun out of control, so much, some went on to write that "Hadoop was dead" or that "Spark would eventually replace Hadoop".  

Such reports are misinformed, overly sensational and inaccurate.  If you have a few minutes, I propose you watch the below 2 minute-video on the key role that Spark plays and its relationship with Hadoop.  In this interview, we talk about security, speed and other key items that make Hadoop relevant to business users.  

For a deeper understanding on the topic, check out the great piece that our VP of Product Management, Josh Klahr, authored for ReadWrite last week.  My favorite passage is below (the full piece is here):

"We need to stop playing Spark and Hadoop off each other and understand how they will coexist.  Hadoop will continue to be used as a platform for scale-out data storage, parallel processing, and clustered workload management.  Spark will continue to be used for both batch-oriented and interactive scale-out data-processing needs."

Read More

Topics: Hadoop, Tableau, Business Intelligence, spark

Learn about BI & Hadoop

The AtScale Blog is the one-stop shop for cutting edge news and insights about BI on Hadoop and all things AtScale.

Subscribe to Email Updates