Dynatrace
JULY 6, 2020
Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.
Scalegrid
MAY 13, 2020
When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
All Things Distributed
SEPTEMBER 29, 2016
As a result, we have opened 35 Availability Zones (AZs), across 13 AWS Regions worldwide. After the launch of the French region there will be 10 Availability Zones in Europe. We couldn’t have launched this industrial IoT project without the AWS flexibility.”. The new region in France will be ready for customers to use in 2017.
All Things Distributed
JUNE 20, 2017
The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. The new AWS Asia Pacific (Hong Kong) Region will have three Availability Zones and be ready for customers for use in 2018.
All Things Distributed
JUNE 26, 2016
Today, I’m happy to announce that the Asia Pacific (Mumbai) Region is generally available for use by customers worldwide. Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices.
ScaleOut Software
JUNE 15, 2020
thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.
ScaleOut Software
JUNE 15, 2020
thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.
Expert insights. Personalized for you.
148 
Let's personalize your content