March 4, 2019

TECH TALK: BI Performance Benchmarks with BigQuery from Google

In the world of Business Intelligence and Big Data there continue to be a number of exciting innovations as new and improved options for processing large data sets appear on the market. You may be familiar with AtScale’s BI-on-Hadoop Benchmarks…

Posted by: Joshua Klahr

Supercharge Your Percentile Calculations for Big Data (Part I)

Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. A new and powerful method of computing percentile estimates on Big Data is now available to you! By combining the well known t-Digest algorithm with AtScale’s semantic layer and smart aggregation…

Posted by: Daren Drummond

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

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

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

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

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

TECH TALK: BI Performance Benchmarks with BigQuery from Google

In the world of Business Intelligence and Big Data there continue to be a number of exciting innovations as new and improved options for processing large data sets appear on the market. You may be familiar with AtScale’s BI-on-Hadoop Benchmarks…

Posted by: Joshua Klahr

Supercharge Your Percentile Calculations for Big Data (Part I)

Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. A new and powerful method of computing percentile estimates on Big Data is now available to you! By combining the well known t-Digest algorithm with AtScale’s semantic layer and smart aggregation…

Posted by: Daren Drummond

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

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

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

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

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