Updated March 4, 2019

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

Updated March 4, 2019

Selecting The Right Use Case For Your Big Data Implementation

Organizations have come to the realization that data is a core part of their strategy and a scalable distributed computing platform central to their technology investment. However, a challenge that big data practitioners face is what use case they should…

Posted by: Monoo Prasad

Updated March 4, 2019

PUDDLES ON THE DATA LAKE

Enterprise data management has changed immensely over the past few decades…we’ve lived through data warehousing and data marts, struggled with scaling to huge data volumes and slow query performance, so on and so forth. As time progressed, true Big Data…

Posted by: Kaleb Northrup

Updated March 4, 2019

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

Updated March 4, 2019

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

Updated March 4, 2019

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

Updated March 4, 2019

Make Big Data Work on Any Cloud

At the beginning of 2018 we predicted that cloud adoption would be one of the key strategic trends that would help enterprises succeed with Big Data. Managing on-premise data infrastructure requires a huge effort. And, as people become more adept…

Posted by: Lucio Daza

Updated March 4, 2019

Looking for the Perfect Date using AtScale and Tableau

My previous blog highlighted some best practices to gain immediate value from all the capabilities that AtScale offers when using Tableau as your BI tool of choice. One of those best practices is to use AtScale-created date dimensions to improve…

Posted by: Tricia Lord

Updated March 4, 2019

It’s Always “Day 1”: AtScale’s New CEO

When we started AtScale five years ago, there were just five of us, driven by the desire to change the way enterprises deliver analytics to the business. AtScale was born out of necessity. At Yahoo!, my team and I had…

Posted by: Dave Mariani

Updated March 4, 2019

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

Updated March 4, 2019

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

Updated March 4, 2019

Selecting The Right Use Case For Your Big Data Implementation

Organizations have come to the realization that data is a core part of their strategy and a scalable distributed computing platform central to their technology investment. However, a challenge that big data practitioners face is what use case they should…

Posted by: Monoo Prasad

Updated March 4, 2019

PUDDLES ON THE DATA LAKE

Enterprise data management has changed immensely over the past few decades…we’ve lived through data warehousing and data marts, struggled with scaling to huge data volumes and slow query performance, so on and so forth. As time progressed, true Big Data…

Posted by: Kaleb Northrup

Updated March 4, 2019

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

Updated March 4, 2019

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

Updated March 4, 2019

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

Updated March 4, 2019

Make Big Data Work on Any Cloud

At the beginning of 2018 we predicted that cloud adoption would be one of the key strategic trends that would help enterprises succeed with Big Data. Managing on-premise data infrastructure requires a huge effort. And, as people become more adept…

Posted by: Lucio Daza

Updated March 4, 2019

Looking for the Perfect Date using AtScale and Tableau

My previous blog highlighted some best practices to gain immediate value from all the capabilities that AtScale offers when using Tableau as your BI tool of choice. One of those best practices is to use AtScale-created date dimensions to improve…

Posted by: Tricia Lord

Updated March 4, 2019

It’s Always “Day 1”: AtScale’s New CEO

When we started AtScale five years ago, there were just five of us, driven by the desire to change the way enterprises deliver analytics to the business. AtScale was born out of necessity. At Yahoo!, my team and I had…

Posted by: Dave Mariani

Updated March 4, 2019

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
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer