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AtScale Blog

2018 Datawork Sessions You Should Check Out

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

What You Might Have Missed in April 2018

Looking for the Perfect Date using AtScale and Tableau

10 AtScale Scientific Observations

Selecting The Right Use Case For Your Big Data Implementation

API - Using AtScale’s Webhooks

What You Might Have Missed in March 2018

The Ultimate Big Data Architecture Checklist

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

Is Cloud computing the perfect match for Big Data?

Conceiving Valuable Data Driven Insights

Happy Data = Happy Users? Maximizing AtScale and Tableau

Announcing AtScale 6.5

What You Might Have Missed in February 2018

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

Supercharge Your Percentile Calculations for Big Data (Part III)

Supercharge Your Percentile Calculations for Big Data (Part II)

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

Supercharge Your Percentile Calculations for Big Data (Part I)

Analytics Performance of Olympic Proportions

Happy Birthday George!

Your Strata San Jose 2018 Insider’s Guide

Gartner Summit 2018: Scale the Value of Data and Analytics, Texas Style!

It’s Complicated: The Love Hate Relationship with Data.

How to Become Data Driven in Four Easy Steps

The Data Visionary Award Goes to...

What You Might Have Missed in January 2018

It’s all about security: AtScale True Delegation explained

The Hidden Costs of Self-Service BI Initiatives 

The 6 Principles of Modern Data Architecture

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

5 Steps for Making and Keeping Your Resolutions

10 Big Data Moments You Might Have Missed in 2017

Above the Cloud: Big Data and BI

Revolutionizing The Cloud with AtScale and Amazon RedShift

AtScale and HDInsight on Microsoft Azure

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

Tableau on Big Data 2017!

The Business Intelligence Platforms of 2022

Ready for the Future of Big Data Analytics?!

The True Cost of doing Big Data...the old fashioned way...

Big Data is a big deal. Now What?!

Big Data: The Unknown Unknowns

Data is NOT the New Oil...

TECH TALK: Making Enterprise BI work on Big Data with Atscale 5.5

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

Do You Need A [New] Data Strategy?

What's the best BI tool for Hadoop?

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

TECH TALK: BI Performance Benchmarks with Google BigQuery

Announcing AtScale 5.0: Rapid Innovation for our Customers

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

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

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

How Do you 'Do Big Data Analytics Right'?

2017 BI and Big Data Trends

5 BI-on-Big Data Blogs You May Have Missed, But Shouldn't

Is your Big Data Strategy as Mature as your Competitors?

BIG BI:  Business Intelligence in Digital Transformation

BI-'in'-Hadoop is Dead

AtScale Delivers the Industry’s First Modern Business Intelligence Platform, enables BI on Hadoop and Big Data, On Premise and Cloud

BIG BI:  Running with the Red Queen: BI is Here to Stay

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

BIG BI: Data isn’t a Process. It’s an Asset.

How Much Dough is in Your Data?!

I like [ Big BI ] and I Cannot Lie...

CDOs: They Are Not Who You Think They Are

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

What is Spark and Why You Should Care

What to Watch for at Hadoop Summit San Jose (June 2016)

Mythbuster: Hadoop Not Just Cheap Storage

How We're Trying To Be Like The Warriors And How You Can Too

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

What Clique is Qlik Joining? A Few Things to Consider

How a Unified Semantic Layer Can Help Business Intelligence

Why and How to Scale-Out BI on Hadoop

Up And To The Right!

How To Load Data Into Hadoop

The More Things Change, The More They Stay The Same...

Excel is more a Friend than Foe...

What Is Hadoop?

Why BI on Hadoop?

TECH TALK: Scale-Out Business Intelligence with Hadoop

TECH TALK:  First-Child & Last-Child Measures in Hadoop

The BB-8 Reasons You Should Care About BI-on-Hadoop

TECH TALK:  SQL-on-Hadoop Benchmark: A Bit of a Tortoise and Hare Story

The Big 3 of Hadoop Summit 2016!

Spark Summit: 5 Things You Should Know

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

What Gartner, IDC & Forrester say about BI on Hadoop...and real world examples...

The "Easy Button" for BI on Hadoop.  AtScale brings simplicity, speed and security for Tableau on Hadoop

Lessons in Entrepreneurship and Big Data: 4 Must-Read Books

The Future is Here.  It's Just Not Evenly Distribut...

Has Spark Killed Hadoop?!

Hadoop: What has changed?!

What is Hadoop?

Performance on Hadoop, Now!

Gartner Magic Quadrant for Operational Database Management Systems

Tableau Conference is going to be YUUGE!

What to expect at the Tableau Conference   (aka #Data15)

What You Might Have Missed at Strata...

Spark, Hadoop and All Things Big Data

Strata + Hadoop World: Be a "BI on Hadoop" Hero!

Unprecedented Concurrency with AtScale and Cloudera Impala

The Future of Hadoop: Spark

Schema On Demand: Using Hadoop In Real-Time

Stay Open: Keeping Hadoop Accessible Means Limitless Possibilities

Unique Insights: What Hadoop Brings to Business Intelligence

Big Data Analytics With Hadoop: A Major Improvement Upon Traditional Approaches

Harness the Power of Hadoop Through Data Visualization Tools

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

5 Things You May Not Know About Hadoop

AtScale at the Microsoft Worldwide Partner Conference

What BI Pros Need

AtScale in the News!

The Do’s and Don’ts of BI on Hadoop

The Truth about Hadoop

The State of the Hadoop Nation

What's the Sqoop on Hadoop?

Introducing AtScale

Learn about BI & Hadoop

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