The Cloudera blog post confirms what we at AtScale have experienced with real-world customer installations – that Impala plus AtScale is a scalable solution for running concurrent, interactive business intelligence (BI) queries on Hadoop.
By Joshua Klahr
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.
By Dan Schulwolf
If you are like me, a Tableau fan, you’ve probably used Tableau for many years, attended numerous Tableau Conferences, and cheered with great enthusiasm when the engineers at Tableau demonstrated the latest and greatest enhancements to the software.
By AtScale
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.
By Lucio Daza
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.
By Dan Schulwolf
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?
By Rudy Widjaja
When enterprises develop a self-service BI environment, data and services become available to internal business users for a price. What are these hidden costs?
By Javier Guillen
If you're a sucker for great market data like I am, you must have heard of Mary Meeker. She' a partner at Kleiner Perkins Caufield & Byers and is known in the Valley as a specialist in digital businesses. She has been credited with having a deep understanding of what makes businesses succeed & fail.
By Bruno Aziza
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.
By Mike Haynes
Business Intelligence on Hadoop Benchmark
By Trystan Leftwich
Big Data, Analytics, Hadoop, Josh Klahr, AtScale
By Joshua Klahr
First and Last Child Measures in Hadoop
By Joshua Klahr
Big Data, Analytics, Hadoop, Josh Klahr, AtScale
By Joshua Klahr
First and Last Child Measures in Hadoop
By Joshua Klahr
Big Data, Analytics, Hadoop, Josh Klahr, AtScale
By Joshua Klahr
AtScale announces the release of a new and powerful method of computing percentile estimates on Big Data by combining the well known t-Digest algorithm...
By Daren Drummond
AtScale announces the release of a new and powerful method of computing percentile estimates on Big Data by combining the well known t-Digest algorithm...
By Daren Drummond
AtScale announces the release of a new and powerful method of computing percentile estimates on Big Data by combining the well known t-Digest algorithm...
By
Choosing the right big data use case may not be the easiest thing, but it will bring great benefits to your organization.
By Monoo Prasad
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.
By Kaleb Northrup
