March 7, 2019
Cloud Cost Optimization: How to Reduce Cloud Data Warehouse CostsI’ve never seen a faster adoption of a new technology platform than I have with the introduction of a cloud Data Warehouse. Companies of all sizes have embraced the power and ease of use of BigQuery, RedShift, Azure SQL Data Warehouse,…
March 6, 2019
Hadoop: What has changed?!Every once in awhile, our team gets questions about the validity of Hadoop. Why it exists, why people should consider using it, etc. In the below video, I provide a few examples of cases across common industries like financial services…
March 4, 2019
Unprecedented Concurrency with AtScale and Cloudera ImpalaJust last week Cloudera released some impressive performance numbers showing how the Impala SQL-on-Hadoop engine scales to support concurrent query workloads. The Cloudera blog post confirms what we at AtScale have experienced with real-world customer installations – that Impala plus…
In the fifteen years since Tableau was founded, it has emerged as one of the preeminent business intelligence software tools, to the extent that only Microsoft Excel is utilized by more enterprises to analyze data. Tableau’s popularity stems in many…
Trystan here, Software Engineer and doer of all things technical at AtScale. Which SQL-on-Hadoop engine performs best? We get this question all the time! We looked around and found that no one had done a complete and impartial benchmark test…
I’ve asked it before and I’ll ask it again. Wouldn’t it be great if you could easily analyze ALL your data from a Excel single file? We all know this isn’t feasible; especially when dealing with big data and complex…
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…
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…
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…
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…
