March 7, 2019

Cloud Cost Optimization: How to Reduce Cloud Data Warehouse Costs

I’ve never seen a faster adoption of a new technology platform than I have with the introduction of cloud-based Data Warehouses. Companies of all sizes have embraced the power and ease of use of BigQuery, RedShift, Azure SQL Data Warehouse,…

Posted by: Matt Baird

10 AtScale Scientific Observations

Five years ago we had a hypothesis that Business Intelligence (BI) needed a reboot. We planned to take the best parts of original BI ideas and merge them with modern engineering and data analytics to build a platform for delivering…

Posted by: Matthew Baird

How to Become Data Driven in Four Easy Steps

Does your decision-making process need an overhaul? In 2015, over 60% of the decisions made by companies were still based on ‘intuition’ or ‘experience’ of their executive team. With the rise of big data, it is imperative that we make…

Posted by: Lucio Daza

March 6, 2019

What You Might Have Missed in March 2018

March is gone and Spring has arrived, at least for many of us. A lot happened in March, and we certainly don't want you to miss out on what’s big on big data. Without further ado, here is what you…

Posted by: Ashley Huang

The True Cost of Doing Big Data…the Old Fashioned Way…

Despite the challenges associated with data warehousing, enterprise IT leaders have accepted it as a necessary evil of deriving value from information within Hadoop and other Big Data ecosystems. How much does it cost to create data warehouses or datamarts…

Posted by: Bruno Aziza

TECH TALK: BI-on-Hadoop Engine Wars Continue…Everybody Wins

Just this week, AtScale published the Q4 Edition of our BI-on-Hadoop Benchmark, and we found 1.5X to 4X performance improvements across SQL engines Hive, Spark, Impala and Presto for Business Intelligence and Analytic workloads on Hadoop. Bottom line, the benchmark…

Posted by: Joshua Klahr

TECH TALK: AtScale, Hive, Druid: A Match Made In Heaven

The rapidly exploding demand for business intelligence on big data is nothing new - this trend is clearly indicated in recent Big Data Maturity surveys. As shown in the graphic below, 75% of respondents are planning on deploying BI workloads…

Posted by: Joshua Klahr