Architecture Healthcare Scalability Storage 
Dynatrace
JANUARY 22, 2024
Healthcare. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.
Scalegrid
MAY 13, 2020
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
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Dynatrace
JANUARY 16, 2023
Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. The different infrastructure setup reflects economic and technical considerations.
Dynatrace
JANUARY 12, 2022
Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. This is great!
Percona
AUGUST 17, 2023
PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. Healthcare organizations: PostgreSQL is used to store patient records, medical history, and other healthcare data.
Percona
JUNE 22, 2023
It also supports the flexibility and scalability of the database infrastructure. When planning your database HA architecture, the size of your company is a great place to start to assess your needs. This architecture spans data centers to add more layers of availability to the database cluster.
Percona
MARCH 30, 2023
This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing.
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