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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

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?

In business intelligence (BI), also sometimes referred to as analytics, the key abstraction used in the majority of implementations is called the “semantic layer”.... ‘ Semantic ’, in the context of data and data warehouses, means ‘from the user’s perspective’; which sounds like a nice clean solution to a nasty unbounded complexity problem.... The semantic layer is not entirely new. In fact the concept was originally patented in 1991 by Business Objects and was successfully challenged by Microstrategy in 2003.

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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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August 22, 2016

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...

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By Bruno Aziza
August 22, 2016
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June 28, 2016

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...

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By Dave Mariani
June 28, 2016
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June 10, 2016

OLAP, MOLAP, ROLAP? Why Should BI Care? Which Should You Choose?

OLAP vs. MOLAP vs. ROLAP: What's the difference? And which one is right for you?

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By Ashley Huang
June 10, 2016
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June 2, 2016

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...

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By Ashley Huang
June 2, 2016
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May 20, 2016

How To Load Data Into Hadoop

How to Load Data into Hadoop

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By Ashley Huang
May 20, 2016
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