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March 4, 2019

CDOs: They Are Not Who You Think They Are

Google the word “CDO” today and your search will mostly results return articles about the “Chief Digital Officer”. However, if you came to look for guidance...

March 4, 2019

Big Data: The Unknown Unknowns

Business leaders know that their challenges with data analytics spread across 4 areas...

March 4, 2019

Big Data: Hope or Hype?! What the research says…

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Charles Amara

March 4, 2019

BI Tools: The Do’s and Don’t’s of Integrating Hadoop

You've heard about Hadoop and what it means for your BI. But here we get down to the nitty gritty in the Do's and Don'ts of Integrating Hadoop.

March 4, 2019

BI-‘in’-Hadoop is Dead

Thomas Dinsmore, Hadoop, BI in Hadoop, Analytics , big data, business intelligence, BI, data lake

March 4, 2019

API – Using AtScale’s Webhooks

Often times, customers approach me with questions around AtScale’s ability to integrate into customer’s operational stack. As part of these blog series, I wanted to highlight a component of AtScale’s Development Extensions called Webhooks.

March 4, 2019

Announcing AtScale 6.5

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…

March 4, 2019

2018 Dataworks Sessions You Should Check Out

Dataworks Summit is just around the corner. Here are a few sessions you should check out.

February 19, 2019

The 6 Principles of Modern Data Architecture

Learn the 6 principles of modern data architecture from companies who have recently updated their data architecture. Do you follow these principles?

February 12, 2019

How to Connect Excel and Google BigQuery

AtScale empowers enterprises to benefit from Google BigQuery while keeping analysts on Microsoft Excel.

February 12, 2019

Why You Need An Adaptive Analytics Fabric

Enterprises need a Virtual Data Warehouse to provide a single view of their data regardless of where it is stored, accelerate time to insight, and keep data secure.

January 25, 2019

AtScale Enables Enterprises to Optimize Usage and Save on Costs with AWS Cloud Storage

AtScale's machine learning allows enterprises to efficiently use business intelligence tools with Amazon's cloud storage solutions. AtScale provides an opportunity for enterprises to save on AWS costs by enabling them to keep more data in S3 without compromising performance.

January 23, 2019

3 Ways Data Fabric Improves Tableau Performance

An intelligent data fabric can enhance companies' tableau performance on an enterprise data warehouse by solving 3 challenges that occur frequently in large tableau implementations.

December 6, 2018

IBM and AtScale Agree: There are 34 Billion Reasons Why Enterprises Should Move Data to the Cloud

IBM's record breaking purchase of Red Hat is a clear indicator of the opportunity in front of cloud technology providers. Enterprises that migrate data to the cloud in the near term will be able to take the greatest advantage of the cost and performance benefits of doing so.