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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.

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By Chris Lynch
June 11, 2019
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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.

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By Chris Lynch
June 7, 2019
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June 5, 2019

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.

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By Matt Baird
June 5, 2019
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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.

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By John Gaffney
June 3, 2019
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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.

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By John Gaffney
May 15, 2019
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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.

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By John Gaffney
April 29, 2019
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April 18, 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.

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By Dan Schulwolf
April 18, 2019
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April 8, 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.

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By Matt Baird and Chris Oshiro
April 8, 2019
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March 19, 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.

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By Cort Johnson
March 19, 2019
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February 11, 2019

Why You Need a Virtual Data Warehouse

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.

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By Dan Schulwolf
February 11, 2019
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February 8, 2019

How to Connect Excel and Google BigQuery

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

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By Dan Schulwolf
February 8, 2019
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February 5, 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.

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By Matt Baird
February 5, 2019
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January 7, 2019

Which Cloud Data Warehouse Should I Migrate to: Redshift, BigQuery or Snowflake?

Enterprises are trusting cloud data warehouses with greater frequency. Amazon Redshift, Google, and Snowflake are three of the main players in the CDW space.

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By Denis Dubeau
January 7, 2019
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December 18, 2018

The 1990’s called, they want their OLAP back.

OLAP emerged in the 1990s with the releases of tools like Essbase and Microsft SQL Server Analysis Services. However, OLAP has been plagued by inefficiency as data volumes have exploded. AtScale's Virtual Data Warehouse empowers enterprises to realize strong BI performance with OLAP.

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By Mike Haynes
December 18, 2018
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December 11, 2018

How to Improve BI Performance on Hadoop

Hadoop was created with the goal of lowering the cost of analyzing data, but implementations often resulted in similar BI performance challenges. AtScale's use of in-memory aggregates alleviates many of the inefficiencies of BI on Hadoop.

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By Arnold Yeung
December 11, 2018
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December 4, 2018

Modeling Advanced Business Logic in AtScale, Part Two

Data architects often have to go to great lengths to model complex business logic in a scalable fashion. AtScale enables this modeling to take place away from BI consumers, allowing more efficient analysis of complex business information.

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By Mike Westlein
December 4, 2018
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November 27, 2018

Modeling Advanced Business Logic in AtScale

Most enterprises have data architects that create a data model for how their organization's business intelligence users consume data. AtScale enables these architects to model advanced business logic that doesn't fit into a traditional schema in a manner that can be easily interpreted by BI users.

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By Mike Westlein
November 27, 2018
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November 19, 2018

IMPROVE BI PERFORMANCE THROUGH EFFICIENT TIME-SPECIFIC CALCULATIONS

Financial Services organizations run frequent time specific calculations to measure the health of their businesses. New data platforms have made running these calculations increasingly arduous. AtScale's Intelligent Data Fabric enables business analysts to execute these calculations efficiently.

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By Arnold Yeung
November 19, 2018
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November 12, 2018

PUDDLES ON THE DATA LAKE

The ability of a Data Lake to store vast amounts of information carries enormous potential to an enterprise. However, many organizations that employ Data Lakes struggle with BI performance against that data, resulting in individual users creating extracts that detract from the Data Lake's value.

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By Kaleb Northrup
November 12, 2018
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October 30, 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.

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By Dan Schulwolf
October 30, 2018
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