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…
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,…
Every year, many of you reach out to thank us for our analysis of Gartner's famous Magic Quadrant for Business Intelligence. Thank you all for your feedback! This year, we've decided to go one step further: in addition to our…
Yesterday, Gartner published the 2018 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade. It is THE document of reference for buyers of Business Intelligence technology. At face value, not…
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…
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…
March 6, 2019
What You Might Have Missed in March 2018March 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…
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…
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…
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…
