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February 27, 2018

Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2018: What's New?!

Yesterday, Gartner published the 2018 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. At face value, not much seems to have changed...BUT, if you take a closer look, you'll notice that some of the biggest changes in the history of the Magic Quadrant just occurred....

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By Bruno Aziza
February 27, 2018
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February 26, 2018

Supercharge Your Percentile Calculations for Big Data (Part II)

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...

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By Daren Drummond
February 26, 2018
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February 25, 2018

Gartner Magic Quadrant for Business Intelligence (BI) 2018: The Good, The Bad, The Ugly...

Every year, many of you reach out to thank us for our analysis of Gartner's famous Magic Quadrant for Business Intelligence. Thank you all for your feedback! This year, we've decided to go one step further: in addition to our written analysis, we will be sharing our perspective as part of our..

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By Bruno Aziza
February 25, 2018
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February 23, 2018

Supercharge Your Percentile Calculations for Big Data (Part I)

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...

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By Daren Drummond
February 23, 2018
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February 18, 2018

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.

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By Bruno Aziza
February 18, 2018
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February 7, 2018

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.

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By Lucio Daza
February 7, 2018
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January 26, 2018

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?

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By Javier Guillen
January 26, 2018
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January 19, 2018

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?

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By Joshua Klahr
January 19, 2018
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January 15, 2018

What is a 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.

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By Matt Baird
January 15, 2018
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November 2, 2017

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.

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By Joshua Klahr
November 2, 2017
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October 10, 2017

TECH TALK: AtScale 6.0 brings Universal Semantic Layer Benefits to Google Cloud

It’s hard to believe that October is here. It feels like only a few days ago that we released AtScale 5.0 and AtScale 5.5. Both releases contained a number of..

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By Joshua Klahr
October 10, 2017
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August 16, 2017

The True Cost of Doing Big Data...the Old Fashioned Way...

Despite the challenges associated with data warehousing, enterprise IT leaders have accepted it as a necessary evil...

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By Bruno Aziza
August 16, 2017
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June 22, 2017

Big Data: The Unknown Unknowns

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

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By Bruno Aziza
June 22, 2017
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May 11, 2017

TECH TALK: AtScale, Hive, Druid: A Match Made In Heaven

The rapidly exploding demand for BI on big data is nothing new - this trend is clearly indicated in the latest Big Data Maturity surveys (2015 and 2016).

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By Joshua Klahr
May 11, 2017
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April 17, 2017

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? 

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By AtScale
April 17, 2017
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April 6, 2017

TECH TALK: BI Performance Benchmarks with BigQuery from Google

Big Data, Analytics, Hadoop, Josh Klahr, AtScale

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By Joshua Klahr
April 6, 2017
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March 2, 2017

TECH TALK: Multi-Level Metric Analysis. Uncover the Hidden Relationships

Big Data, Analytics, Hadoop, Josh Klahr, AtScale

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By Joshua Klahr
March 2, 2017
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February 15, 2017

TECH TALK: Solving the Unrelated Dimension Dilemma. A Connect the Dots Story of Sorts.

Big Data, Analytics, Hadoop, Josh Klahr, AtScale

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By Joshua Klahr
February 15, 2017
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December 5, 2016

BI-'in'-Hadoop is Dead

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

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By Thomas W. Dinsmore
December 5, 2016
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October 18, 2016

TECH TALK: BI-on-Hadoop Engine Wars Continue...Everybody Wins

Business Intelligence on Hadoop Benchmark

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By Joshua Klahr
October 18, 2016
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