Software for High Performance Advanced Analytics
Strata+Hadoop World week is a good opportunity to update the list of platforms for high-performance advanced analytics. Vendors are hustling this week to announce their latest enhancements; I’ll post...
View ArticleSAS Versus R Part Two
In a previous post, I summarized some myths about SAS and R — arguments offered by proponents of one or the other that deserve to be dismissed. In this post, I will review some arguments that do make...
View ArticleSAS Versus R (Part 1)
Which is better for analytics, SAS or R? One frequently sees discussions on this topic in social media; for examples, see here, here, here, here, here and here. Like many debates in social media,...
View ArticleDistributed Analytics: A Primer
Can we leverage distributed computing for machine learning and predictive analytics? The question keeps surfacing in different contexts, so I thought I’d take a few minutes to write an overview of the...
View ArticlePython for Analytics
A reader complains that I did not include Python in a survey of Machine Learning in Hadoop. It’s a fair point. There was a lively debate last year between R and Python advocates, variously described...
View ArticlePredictions for 2019
It’s that time of year again. Time to drive stakes in the ground about the year ahead. Looking Back First, a brief look back to see if last year’s predictions aged well. You can read them here. Recap...
View Article2018 in AI/ML
Well, 2018 is dead and gone. Time to take a look back at the year in AI/ML. A reminder that I work for DataRobot. This is my personal blog. Opinions are mine. On the Move It’s hard to believe that...
View ArticlePredicting the 2019 MQ
The die is cast. Last month, Gartner selected 16 vendors to include in its 2019 Magic Quadrant for Data Science and Machine Learning. Now, as Gartner prepares to publish the report early next year, I...
View ArticleData Science and Machine Learning Predictions
This is the time of year when everyone looks to the year ahead. Here are five four things in data science and machine learning that are utterly and completely predictable in 2018. Data Science Matures...
View ArticleThe Year in SQL Engines
As an addendum to my year-end review of machine learning and deep learning, I offer this survey of SQL engines. SQL is the most widely used language for data science according to O’Reilly’s 2016 Data...
View ArticleIBM and Spark (Updated)
Updated March 8, 2016. After publishing this post, I met with several IBM executives at Spark Summit East, who confirmed the accuracy of the original post and provided additional detail, which I’ve...
View ArticleBenchmark: Spark Beats MapReduce
A group of scientists affiliated with IBM and several universities report on a detailed analysis of MapReduce and Spark performance across four different workloads. In this benchmark, Spark...
View ArticleO’Reilly Data Science Survey 2015
O’Reilly releases its 2015 Data Science Salary Survey. The report, authored by John King and Roger Magoulas summarizes results from an ongoing web survey. The 2015 survey includes responses from...
View ArticleSpark 1.4 Released
On June 11, the Spark team announced availability of Release 1.4. More than 210 contributors from 70 different organizations contributed more than 1,000 patches. Spark continues to expand its...
View ArticleHow to Buy SAS Visual Analytics
Stories about SAS Visual Analytics are among the most widely read posts on this blog. In the last two years I’ve received many queries from readers who complain that it’s hard to get clear answers...
View ArticleSoftware for High Performance Advanced Analytics
Strata+Hadoop World week is a good opportunity to update the list of platforms for high-performance advanced analytics. Vendors are hustling this week to announce their latest enhancements; I’ll post...
View ArticleSAS Versus R Part Two
In a previous post, I summarized some myths about SAS and R — arguments offered by proponents of one or the other that deserve to be dismissed. In this post, I will review some arguments that do make...
View ArticleSAS Versus R (Part 1)
Which is better for analytics, SAS or R? One frequently sees discussions on this topic in social media; for examples, see here, here, here, here, here and here. Like many debates in social media,...
View ArticleSAS in Hadoop: An Update
SAS supports several different products that run “inside” Hadoop based on two different in-memory architectures: (1) The SAS High Performance Analytics suite, originally designed to run in dedicated...
View ArticleHow to Optimize Your Marketing Spend
There are formal methods and tools you can use to optimize marketing spend, including software from SAS, IBM and HP (among others). The usefulness of these methods, however, depends on basic...
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