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March 6, 2019

Happy Data = Happy Users? Maximizing AtScale and Tableau

Congratulations! Your data is controlled, aggregated and turbocharged in your AtScale virtual cube. You have Tableau to create remarkable visualizations. Your data is happy! But are your cube designers and business users? For instance, did you know that centralizing calculations in your AtScale...

March 6, 2019

Hadoop: What has changed?!

Every once in a while, our team gets questions about the validity of Hadoop. Why it exists, why people should consider using it...etc. In the below video, I provide...

March 6, 2019

Gartner Magic Quadrant for Business Intelligence (BI) 2017: The Good, The Bad and The Wookie?!

Gartner published yesterday the 2017 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade; it is THE document of reference for buyers of Business Intelligence technology.

March 6, 2019

AtScale and HDInsight on Microsoft Azure

You don’t have to be a clairvoyant to know that there is an ever-increasing trend in cloud adoption among start-ups and enterprises alike.

March 6, 2019

What You Might Have Missed in April 2018

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

March 4, 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.

March 4, 2019

What’s the best BI tool for Hadoop?

Every once in awhile, the ultimate question comes up: "What is the best analysis tool for BI on Hadoop?!"...

March 4, 2019

What You Might Have Missed in May 2018

http://techgenix.com/data-analytics-business-intelligence/

March 4, 2019

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.

March 4, 2019

What is a Universal Semantic Layer? Why Would You Want One?

In BI, the key abstraction used in the majority of implementations is called the “semantic layer." Learn the uses of the semantic layer and if your business needs one.

March 4, 2019

What are the Costs of Building a Team of Data Scientists?

Most companies have to build data science teams to support ongoing business intelligence on Hadoop workloads. What's this costing them? 

March 4, 2019

Unprecedented Concurrency with AtScale and Cloudera Impala

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.

March 4, 2019

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.

March 4, 2019

Through the Eyes of a BI Author: Why Tableau and AtScale make a great solution together

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.

March 4, 2019

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.

March 4, 2019

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.

March 4, 2019

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?

March 4, 2019

The Hidden Costs of Self-Service BI Initiatives

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?

March 4, 2019

The Future of Tech: Cloud, AI and your budget…

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.

March 4, 2019

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.