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AtScale Blog

Gartner Magic Quadrant for Cloud Infrastructure as a Service 2018: What Just Happened?!

Posted by Bruno Aziza on May 23, 2018

Yesterday, Gartner published the 2018 Magic Quadrant for Cloud Infrastructure as a Service.  If you're not familiar with Gartner Magic Quadrants (or MQ for short), you should know that they are THE document of reference for buyers in the technology space.

This year's edition shocked many reviewers.  Why?  Read our quick analysis for context...

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Topics: Tableau, Gartner, Business Intelligence, BI on Big Data, Microsoft, Amazon, google

What You Might Have Missed in March 2018

Posted by Ashley Huang on Apr 2, 2018

 

March is gone and Spring has arrived, at least for many of us. A lot happened in March, and we certainly don't want you to miss out on what’s big on big data. Without further ado, here is what you might have missed in March.

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Topics: Business Intelligence, Cloud, BI, Analytics, Data

Conceiving Valuable Data Driven Insights

Posted by James Burr on Mar 13, 2018


How valuable is an insight if you don’t know what’s driving it?

The investment in big data made in recent years by companies has been significant. Many are now looking to capitalize on the insights to be discovered in their expansive data lakes. Developing an analytic solution is a difficult and laborious process. More than a few projects have been abandoned long before any conclusive benefit is realized. Some efforts end due to constraints on time and money, others as a result of bad design or poor end user adoption. That last point is significant. You’re going to spend considerable resources to empower your decision makers. If you build it, and they don’t come, then what?


See AtScale Intelligence Platform in action, Sign up for this webinar!


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Topics: Business Intelligence, Big Data, Semantic Layer, Analytics, BI on Big Data, Data Lake, data driven

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

Announcing AtScale 6.5

Posted by Joshua Klahr on Mar 6, 2018

Data Lake Intelligence with AtScale

In my recent Data Lake 2.0 article I described how the worlds of big data and cloud are coming together to reshape the concept of the data lake. The data lake is an important element of any modern data architecture, and the data lake footprint will continue to expand. However, the data lake investment is only one part of delivering a modern data architecture. At Yahoo!, in addition to building a Hadoop-based data lake, we also needed to solve the problem of connecting traditional business intelligence workloads to this Hadoop data. Although the term “Data Lake” didn’t exist back then, we were solving the problem of: “How can you deliver an interactive BI experience on top of a scale-out Data Lake” - it turns out we were pioneers in delivering Data Lake Intelligence.


See AtScale Intelligence Platform in action, Sign up for this webinar!


Our experiences and learnings from those initial efforts led to the architecture that sits at the core of the AtScale Intelligence Platform. Because AtScale has been built from the ground up to deliver business-friendly insights from the vast amounts of information in data lakes, AtScale has experienced tremendous success and adoption in enterprises ranging from financial services, to retail to digital media. With the release of AtScale 6.5, we’ve continued to build on and expand AtScale’s ability to uniquely deliver on the promise of Data Lake Intelligence. If this sounds like something you might be interested in knowing more about… keep reading!

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Topics: Business Intelligence, bi-on-hadoop, Big Data, Cloud, BI, Analytics, BI on Big Data, Data Strategy, data driven

What You Might Have Missed in February 2018

Posted by Ashley Huang on Mar 1, 2018

Poor February. The short month is dismissed for its brevity (let’s not talk about the weather) but a lot transpired the past 28 days, especially in big data and analytics. ICYMI, here’s a recap of the top stories:

 

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Topics: Business Intelligence, bi-on-hadoop, Big Data, Cloud, BI, Analytics, BI on Big Data, Data Strategy, data driven

Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2018: What's New?!

Posted by Bruno Aziza on Feb 27, 2018

Yesterday, Gartner published the 2018 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.

At face value, not much seems to have changed...BUT, if you take a closer look, you'll notice that some of the biggest changes in the history of the Magic Quadrant just occurred....

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Topics: Tableau, Gartner, Business Intelligence, GartnerBI, BI on Big Data, Microsoft, Amazon, microstrategy, google

What You Might Have Missed in January 2018

Posted by Bruno Aziza on Feb 1, 2018

 

We’ve put January back in cold storage!  Don’t be frozen out of the month’s Big Data stories though!  Catch up on January’s Big Data BIG news...

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Topics: Business Intelligence, Big Data, Cloud, BI, Analytics, Data, BI on Big Data

It’s all about security: AtScale True Delegation explained

Posted by David Schreibman on Jan 31, 2018

With the recent GDPR policy, security with data is becoming a bigger concern for enterprise. In this post, you will learn about True Delegation and how it helps enterprises achieve their data security and governance requirements. You will also learn about the challenges, the Hadoop authorization landscape, and the unique solution that AtScale provides.


To Learn More About Universal Semantic Layer, Check Out This Webinar


 

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Topics: Hadoop, Business Intelligence, impala, Semantic Layer, Cloud, BI, Analytics, Data, BI on Big Data, Data Lake, security

The Hidden Costs of Self-Service BI Initiatives 

Posted by Javier Guillen on Jan 26, 2018

While it may be tempting to focus our efforts only on self-service BI in terms of security and access control mechanisms, it is important to also place emphasis on economies to achieve success.  When an enterprise develops a self-service BI environment, it undoubtedly means that their IT team adopts the role of a service provider. Data and services become available to internal business users for a price. What are these hidden costs?

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Topics: Business Intelligence, Big Data, BI, Data, BI on Big Data

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