ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

VoltDB

APRIL 25, 2024

Organizations that use private cellular networks don’t have to worry about running into performance issues during peak traffic periods. As a result, businesses can optimize network settings, prioritize traffic, and implement protocols that align with their requirements and use cases.

Network 52

Network IoT Wireless Infrastructure 52

Dynatrace

JULY 6, 2020

Azure Traffic Manager. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Azure Front Door enables you to define, manage, and monitor the global routing for your web traffic by optimizing for best performance and quick global failover for high availability.

Azure 144

Azure Cloud Big Data Virtualization 144

VoltDB

FEBRUARY 29, 2024

In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. THROUGHPUT: THE DATA HIGHWAY’S CAPACITY Throughput, on the other hand, is the highway’s capacity to handle traffic. It’s like a well-maintained highway where you can cruise without any traffic jams.

Latency 52

Latency Games Traffic Network 52

Adrian Cockcroft

FEBRUARY 13, 2023

SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. Partner oriented session getting everyone up to speed on what AWS sees as the customer needs, motivations, business outcomes and architectures around sustainability. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52