VoltDB

FEBRUARY 29, 2024

The sheer volume of data that needs to be processed and transferred can introduce delays, especially if the underlying infrastructure is not optimized. Globalization and distributed systems Businesses operate on a global scale, and applications often rely on distributed systems and cloud services located in various geographical regions.

Latency 52

Latency Games Traffic Network 52

Percona

AUGUST 17, 2023

Healthcare organizations: PostgreSQL is used to store patient records, medical history, and other healthcare data. To make PostgreSQL work across the enterprise, you have to acquire a multitude of additional components, including tools for high availability, disaster recovery, monitoring, and observability.

Open Source 77

Open Source Healthcare Social Media Database 77

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. As such, fault tolerance is more expensive to implement because it requires dedicated infrastructure that completely mirrors the primary system. Some disruption might occur, but it will be minimal.

Availability 105

Availability Database Open Source Hardware 105

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This gives users all of the capabilities of the ScaleOut Digital Twin Streaming Service with complete infrastructure control.

IoT 52

IoT Azure Analytics Healthcare 52

Percona

MARCH 30, 2023

Companies can more easily scale infrastructure — up or down — to meet economic conditions and changing business objectives. Data portability Open source freedom enables an organization to deploy databases anywhere and move them at any time — to cloud, on-premises, or hybrid environments.

Open Source 73

Open Source Database Storage Scalability 73

The Morning Paper

JULY 7, 2019

As you might imagine, these are underpinned by a wide variety of different ML models. The teams doing the work are also varied in their make-up, some containing data scientists with many years of experience, and others just starting out.

Software Engineering 92

Software Engineering Engineering Software Software 92

Percona

SEPTEMBER 1, 2023

Here are a few examples: Audit Logging : In compliance-driven industries like finance or healthcare, it’s crucial to maintain an audit trail of database changes. For instance, in a healthcare database, triggers can restrict access to sensitive patient data to authorized personnel only.

Cache 60

Cache Database Games Healthcare 60

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) Which Model?

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112