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March 4, 2019

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.

March 4, 2019

How To Load Data Into Hadoop

How to Load Data into Hadoop

March 4, 2019

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.

March 4, 2019

How to Become Data Driven in Four Easy Steps

Becoming data-driven is easier said than done. It means more than just investing in the latest data, analytics, and machine-learning software.

March 4, 2019

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.

March 4, 2019

How a Unified Semantic Layer Can Help Business Intelligence

Research shows that the average enterprise has at least 6 to 10 Business Intelligence tools. Microsoft Excel, the world's most prevalent analysis tool is used by 1 Billion users. Other tools like Tableau, Qliktech, MicroStrategy or Business Objects have had great success too. However...

March 4, 2019

Hortonworks chooses AtScale as its standard for BI-on-Hadoop

We started AtScale because we believe that everyone should be able to use all data for all their decisions. We believe that people should have...

March 4, 2019

Gartner Magic Quadrant for Business Intelligence (BI) 2016: The Good, The Bad, The Ugly…

Gartner published yesterday the 2016 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 4, 2019

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.

March 4, 2019

Conceiving Valuable Data Driven Insights

The investment in big data made in recent years by companies has been significant. Many are now looking to capitalize on the insights to be discovered in their expansive data lakes. Developing an analytic solution is a difficult and laborious process.

March 4, 2019

CDOs: They Are Not Who You Think They Are

Google the word “CDO” today and your search will mostly results return articles about the “Chief Digital Officer”. However, if you came to look for guidance...

March 4, 2019

Big Data: The Unknown Unknowns

Business leaders know that their challenges with data analytics spread across 4 areas...

March 4, 2019

Big Data: Hope or Hype?! What the research says…

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Charles Amara

March 4, 2019

BI Tools: The Do’s and Don’t’s of Integrating Hadoop

You've heard about Hadoop and what it means for your BI. But here we get down to the nitty gritty in the Do's and Don'ts of Integrating Hadoop.

March 4, 2019

BI-‘in’-Hadoop is Dead

Thomas Dinsmore, Hadoop, BI in Hadoop, Analytics , big data, business intelligence, BI, data lake

March 4, 2019

API – Using AtScale’s Webhooks

Often times, customers approach me with questions around AtScale’s ability to integrate into customer’s operational stack. As part of these blog series, I wanted to highlight a component of AtScale’s Development Extensions called Webhooks.

March 4, 2019

Announcing AtScale 6.5

With the release of AtScale 6.5, we’ve continued to build on and expand AtScale’s ability to uniquely deliver on the promise of Data Lake Intelligence. If this sounds like something you might be interested in knowing more about…

March 4, 2019

2018 Dataworks Sessions You Should Check Out

Dataworks Summit is just around the corner. Here are a few sessions you should check out.

February 19, 2019

The 6 Principles of Modern Data Architecture

Learn the 6 principles of modern data architecture from companies who have recently updated their data architecture. Do you follow these principles?

February 12, 2019

How to Connect Excel and Google BigQuery

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