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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

With Hadoop Summit San Jose just around the corner, I thought it might be helpful to preview what to watch out for a the conference. In some ways, not much...

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By Joshua Klahr
January 19, 2018
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January 15, 2018

What is a “Semantic Layer” and Why Would You Want One?

A semantic layer is a business abstraction of data that lets you access data all at once. But why do you need one?

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By Matthew Baird
January 15, 2018
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January 15, 2018

5 Steps for Making and Keeping Your Resolutions

Big Data, Analytics, Data Maturity Survey , Cloud, Resolutions

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By Donald Farmer
January 15, 2018
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November 29, 2017

Revolutionizing The Cloud with AtScale and Amazon RedShift

Data engineers, data analysts, developers and pretty much anyone involved in the data stewarding process is looking to migrate their data to the cloud.

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By Lucio Daza
November 29, 2017
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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 20, 2017

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?!"...

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By Bruno Aziza
April 20, 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 19, 2017

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 19, 2017
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