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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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October 23, 2018

3 Ways an Intelligent Data Fabric Improves Tableau Performance on an Enterprise Data Warehouse

Tableau is one of the most popular business intelligence tools on the market, and is widely used by the majority of large enterprises. An intelligent data fabric can enhance companies' tableau performance by solving three challenges that occur frequently in large tableau implementations.

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By Dan Schulwolf
October 23, 2018
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October 15, 2018

How AtScale Helps Enterprises Improve Performance and Cost 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.

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By Dan Schulwolf
October 15, 2018
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October 2, 2018

Three Important Questions to ask about Chief Data Officers

Chief Data Officers play an increasingly important role at large organizations. While most global enterprises have hired a Chief Data Officer or plan to hire one soon, there is a lack of consensus on a CDO's mandate. It is likely that CDOs will drive cloud data transformation projects.

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By Dan Schulwolf
October 2, 2018
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September 27, 2018

Two Ways that AtScale Delivers Faster Time to Insight: Dynamic BI Modeling and Improving Query Concurrency

Businesses are using Google BigQuery, Amazon Redshift, and Microsoft Azure to host vast quantities of data. Much of this data remains unused due to slow time to insight. AtScale alleviates the causes of slow time to insight, which enables businesses to derive more value from their data.

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By Dan Schulwolf
September 27, 2018
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September 20, 2018

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.

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By Dan Schulwolf
September 20, 2018
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September 18, 2018

How AtScale uses Machine Learning to help Enterprises efficiently leverage Google BigQuery

Cloud environments such as Google BigQuery are the optimal solution for big data workloads due to their ability to easily deliver elastic computing and storage at relatively low cost. AtScale employs aggregation to help enterprises using BigQuery further reduce their storage and processing costs.

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By Dan Schulwolf
September 18, 2018
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August 3, 2018

The Ultimate Big Data Architecture Checklist

Big Data have been able to provide enterprises competitive advantage and reduce operational costs across a wide variety of scenarios. However, setting up a big data environment is not for the faint-hearted, or is it?

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By Rudy Widjaja
August 3, 2018
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July 2, 2018

What You Might Have Missed in June 2018

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

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By Ashley Huang
July 2, 2018
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June 28, 2018

Three Trends From Dataworks Summit 2018

We did it again! The AtScale team was present at the Dataworks Summit 2018 in San Jose, California. We hope you had the opportunity to be part of this great event and attended the great sessions that we suggested. If you missed the event, don’t worry, we have prepared a great summary for you.

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By Lucio Daza
June 28, 2018
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June 26, 2018

It's Always "Day 1": AtScale's New CEO

When we started AtScale 5 years ago, there were just 5 of us, driven by the desire to change the way enterprises deliver analytics to the business.

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By Dave Mariani
June 26, 2018
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June 22, 2018

Data Lake Intelligence with Amazon Redshift Spectrum and AtScale

This post will dive deeper into the core components of the cloud data lake and show how customers are now able to deliver modern, agile business intelligence on top of the data stored in these lakes.

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By Denis Dubeau
June 22, 2018
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June 12, 2018

Make Big Data Work on Any Cloud

Announcing AtScale Cloud, try AtScale on Amazon AWS, Google Cloud Launcher and Microsoft Azure.

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By Lucio Daza
June 12, 2018
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June 2, 2018

What You Might Have Missed in May 2018

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

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By Ashley Huang
June 2, 2018
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