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June 13, 2019

Real-Time Data: Satisfying the Need for Speed in BI

Business Intelligence (BI) transforms how enterprises make decisions by delivering insights across the entire business. These insights are limited only by the curiosity of the people asking the questions and the speed at which the systems and software that support analytics can perform. BI relies on acceleration and performance (a.k.a. “speed”) to enable data exploration and data mining at a tempo that keeps the human brain engaged.

June 13, 2019

What is Unified Data, and Why Do You Need It?

The concept of virtualization is powerful and nuanced. There are many ways to virtualize data, and AtScale employs several of these methods to make deploying data services faster, more performant, secure and correct. One such interpretation of virtualization is representing diverse data from different origins as one “unified” database. What is Unified Data? Unified data […]

June 11, 2019

In search of $DATA

Salesforce acquires Tableau for $16B, adding momentum to the rapidly growing analytics space and further highlighting the need for AtScale's unique analytics architecture.

June 7, 2019

One CEO’s Perspective On Google’s Acquisition of Looker

AtScale CEO Chris Lynch provides his perspective on the exciting acquisition of Looker by Google.

June 5, 2019

Data Architecture Modernization: AtScale’s Release 2019.1 Enables Data Transformation Without Disruption

AtScale’s newest release 2019.1 helps us stay true to our mission of helping enterprises realize the value of their legacy platform investments and capitalize on the speed at which data is proliferating, specifically addressing the challenges associated with migrating from on-prem to cloud, RDBMS to Hadoop, and legacy BI to advanced analytics. Read on for more information about this product release.

June 3, 2019

GDPR Anniversary Renews Focus on Data Integrity

On May 25th, 2018 the EU enacted the new General Data Protection Regulations (GDPR). Now, one year on, the tentative returns are in. If you’re in the business of cloud transformation and responsible data deployment, you need to put a spotlight on data integrity and governance.

May 15, 2019

Data Virtualization: The Champion Of The Hybrid Cloud

Data virtualization connects data silos and enables a single view of data without having to physically integrate it. Learn more about data virtualization in the enterprise.

May 6, 2019

Seamless Adoption of Snowflake in the Cloud: Rakuten with AtScale

Rakuten, a leading cashback and rewards website, initially used AtScale to improve analytics performance on Hadoop. AtScale enabled Rakuten to seamlessly migrate to Snowflake while continuing to optimize performance on their new cloud data platform.

April 29, 2019

CDO Version.2019: Seven Keys To Defining The Job

The CDO presents an opportunity to define the priorities and pain points for a company’s most important asset: Data. Understand the 7 keys to this role.

April 25, 2019

How AtScale Helps Enterprises Improve Performance on Snowflake

Snowflake's cloud-based data warehouse enables companies to improve performance while minimizing cost when moving over from traditional data stores. AtScale's intelligent data fabric further augments the business benefits Snowflake provides.

April 19, 2019

Analyzing Gartner’s 2019 Magic Quadrant for Analytics

As the BI market continues to mature, Tableau and Microsoft retain their positions as the dominant players in Gartner's 2019 magic quadrant on BI and Analytics. ThoughtSpot and Looker are the two emerging vendors to watch.

April 9, 2019

Snowflake & AtScale, A Perfect Fit

As part of its new partnership with Snowflake, AtScale has implemented features that augment Snowflake's use of different-sized warehouses to optimize cost and compute.

March 7, 2019

Cloud Cost Optimization: How to Reduce Cloud Data Warehouse Costs

Learn how AtScale enables enterprises to optimize cloud costs and increase query performance on any cloud environment.

March 7, 2019

Gartner Magic Quadrant for Business Intelligence (BI) 2018: The Good, The Bad, The Ugly…

Every year, many of you reach out to thank us for our analysis of Gartner's famous Magic Quadrant for Business Intelligence. Thank you all for your feedback! This year, we've decided to go one step further: in addition to our written analysis, we will be sharing our perspective as part of our..

March 7, 2019

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

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....

March 7, 2019

10 AtScale Scientific Observations

As an organization, AtScale prides itself on our ability to learn and adapt to observed empirical evidence, so over the five years and hundreds of customers, we’ve made some observations that have been consistent enough that I submit that they are in fact worthy of the term I just made up...

March 6, 2019

What You Might Have Missed in March 2018

Wonder what happened in March in the world of Big Data? Check out this blog for what you might have missed in March 2018.

March 6, 2019

The True Cost of Doing Big Data…the Old Fashioned Way…

Despite the challenges associated with data warehousing, enterprise IT leaders have accepted it as a necessary evil...

March 6, 2019

TECH TALK: BI-on-Hadoop Engine Wars Continue…Everybody Wins

Business Intelligence on Hadoop Benchmark

March 6, 2019

TECH TALK: AtScale, Hive, Druid: A Match Made In Heaven

The rapidly exploding demand for BI on big data is nothing new - this trend is clearly indicated in the latest Big Data Maturity surveys (2015 and 2016).