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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems are typically implemented as lightweight storage represented by queues or topics. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. – DevOps Engineer, large healthcare company. This is great! New to Dynatrace?

Analytics 186
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Causal AI use cases for modern observability that can transform any business

Dynatrace

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.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321
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Privacy spotlight: Retain data in Grail with 1-day precision, for up to 10 years

Dynatrace

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Other data types will be available soon). What’s next?

Storage 166
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.

Analytics 136
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What Is PostgreSQL Used For?

Percona

It’s used for data management (shocker), application development, and data analytics. 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. What is PostgreSQL used for?

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Act locally, connect globally with IoT and edge computing

All Things Distributed

Healthcare providers can provide remote monitoring of patient health—improving patient care. Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning.

IoT 126