InfoWorld Big Data and Analytics Report

April 03, 2019

Review: OmniSci GPU database lifts huge data sets

GPU acceleration of database, rendering, and visualization enables interactive exploration of data sets with billions of rows Read more ▶

Your Must-Read Stories

•	How to use anomaly detection in Azure machine learning

•	How to eliminate the security risk of redundant data

•	Pub/sub messaging: Apache Kafka vs. Apache Pulsar

•	How to model time series anomaly detection for IoT

•	Tidy eval in R: A simple example

Video/Webcast: Infoblox

Sensitive Data Everywhere: Results of SANS 2017 Data Protection Survey

Sensitive data is everywhere, and promises of end-to-end data protection have failed to materialize. Do organizations know where their sensitive data is? And if they do, how are they assessing and protecting that data? Read more ▶

How to use anomaly detection in Azure machine learning

Machine learning is about more than vision and speech, as Azure's latest machine learning service shows Read more ▶

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How to eliminate the security risk of redundant data

Most enterprises bring all their redundant data to the cloud, along with the security risk such redundancy creates. Here's how to fix it Read more ▶

Pub/sub messaging: Apache Kafka vs. Apache Pulsar

Apache Kafka set the bar for large-scale distributed messaging, but Apache Pulsar has some neat tricks of its own Read more ▶

How to model time series anomaly detection for IoT

Machines fail. By creating a time series prediction model from historical sensor data, you can know when that failure is coming Read more ▶

Tidy eval in R: A simple example

Do you want to use ggplot2, dplyr, or other tidyverse functions in your own functions? This easy example shows how Read more ▶

White Paper: Softchoice & AWS

MaRS supports innovation with Softchoice and AWS

Softchoice worked with MaRS to implement the desired solution from the blueprint leveraging AWS EC2 for SQL Virtual Machinesin Dev, UATand Production environments. Read more ▶