March 4, 2019

Supercharge Your Percentile Calculations for Big Data (Part II)

Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. In the previous post, we discussed typical use cases for percentiles and the advantages of percentile estimates. In this post, we illustrate how to model percentile estimates with AtScale and use…

Posted by: Daren Drummond

Supercharge Your Percentile Calculations for Big Data (Part III)

Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. In the previous post we demonstrated how to model percentile estimates and use them in Tableau without moving large amounts of data. You may ask, "how accurate are the results and…

Posted by: AtScale

Performance on Hadoop, Now!

If your team has been trying to connect your Business Intelligence (BI) tools to your Hadoop environment, you're familiar with the typical issues: performance, security and the inability to model the data in a way that business users like to…

Posted by: Bruno Aziza

Modeling Advanced Business Logic in AtScale, Part Two

Modeling Multi-Level Facts In our last Advanced Modeling blog post we looked at using bridge tables to resolve many-to-many relationships. In this post, we are going to expand that use case and look into how to model facts that apply…

Posted by: Mike Westlein

Modeling Advanced Business Logic in AtScale

Part One - Modeling Many-to-Many Relationships Using Bridge Tables I have been fortunate throughout my career to work with a range of companies, from some of the largest enterprises in the world to smaller companies that are disrupting industries with…

Posted by: Mike Westlein

Founders’ Story

Like many people these days, I really love data. I started my career in the 90s evangelizing business intelligence (BI) and invented one of the first BI platforms for the enterprise. For the past 10 years, at companies like Yahoo!…

Posted by: Dave Mariani

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 decisions. We believe that people should have unencumbered and secured access to information, work with data of all shapes, at lightning speed and…

Posted by: Dave Mariani

BI-‘in’-Hadoop is Dead

Congratulations! Your Hadoop cluster is up and running. Your data feeds work; your team knows how to manage the cluster, and expert users mine the data with Hive, Pig, Spark. But your executives aren’t satisfied. “Where is the business value?”…

Posted by: Thomas W. Dinsmore

API – Using AtScale’s Webhooks

Often times, customers approach me with questions around AtScale’s ability to integrate into the customer’s operational stack. Today, I want to highlight a component of AtScale’s Development Extensions called Webhooks. A webhook (also called a web callback or HTTP push…

Posted by: Vadim Gekhman

Announcing AtScale 6.5

Data Lake Intelligence with AtScale In my recent Data Lake 2.0 article, I described how the worlds of big data and cloud are coming together to reshape the concept of the data lake. The data lake is an important element…

Posted by: Joshua Klahr