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June 21, 2019

Why AtScale Wins in the Cloud Data Platform Ecosystem

"Never make permanent decisions on temporary feelings". Technology is risky, and architectural decisions can have a considerable effect on the viability of your business. This post lays out strategies to future-proof your data architecture including rules around virtualization, security, reducing complexity.

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By Matt Baird
June 21, 2019
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June 20, 2019

What is a Cloud Data Warehouse?

We’re now witnessing a third wave of innovation in data warehousing technology with the advent of cloud data warehouses. As enterprises move to the cloud, they are abandoning their legacy on-premise data warehousing technologies, including Hadoop, for these new cloud data platforms. This post covers the benefits of a cloud data warehouse and factors to consider when you're ready to make the move.

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By Dave Mariani
June 20, 2019
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June 18, 2019

Can the Cloud Rescue Retail?

Competition for consumer spend is a make-or-break proposition. Will retailers know their customer? Will they act with the speed and scale necessary to compete? If they take steps to fully leverage the cloud, they will.

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By John Gaffney
June 18, 2019
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June 14, 2019

What is Data Transformation?

Data transformation is the T in ETL - it's one-third of the holy trinity of Extract, Translate & Load (ETL). In the ETL process, Transform is the process of converting the extracted data from its previous form into the form it needs to be in so that it can be placed into another database.

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By Matt Baird
June 14, 2019
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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.

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By John Gaffney
June 13, 2019
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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.

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By Chuck Smith
June 13, 2019
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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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