Updated March 8, 2019
IMPROVE BI PERFORMANCE THROUGH EFFICIENT TIME-SPECIFIC CALCULATIONSThe more things change, the more they stay the same. There is tremendous push towards new platforms capable of dealing with massive amounts of data. Data is flowing at a scale once considered impossible, and the sources of data are…
Updated 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…
Updated 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…
Updated March 4, 2019
Two Ways That AtScale Delivers Faster Time To Insight: Dynamic BI Modeling and Improving Query ConcurrencyIn 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…
Updated March 4, 2019
TECH TALK: SQL-on-Hadoop Benchmark: A Bit of a Tortoise and Hare StoryTrystan 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…
Updated March 4, 2019
TECH TALK: Multi-Level Metric Analysis. Uncover the Hidden RelationshipsI’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…
Updated March 4, 2019
TECH TALK: BI Performance Benchmarks with BigQuery from GoogleIn 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…
Updated March 4, 2019
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…
Updated 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…
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…
