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Navigate end-to-end data compliance through effective log management

Dynatrace

This holistic approach is particularly critical in industries handling sensitive data, such as the healthcare and financial sectors. These logs contain sensitive healthcare data. Build trust with your customers: Consumer trust is vital in sectors like e-commerce and healthcare.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum’s polymorphic data storage allows you to control the configuration for your table and partition storage with the freedom to execute and compress files within it at any time.

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 242
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Dynatrace AI-powered platform operates on AWS Tokyo

Dynatrace

However, discussions with Dynatrace customers and prospects indicate that Japanese customers often require their data to be stored in Japan, especially in highly regulated industries like finance and healthcare. Domain-specific guidelines recommend local data storage in Japan.

AWS 278
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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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Kubernetes in the wild report 2023

Dynatrace

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Note: The survey excluded all commercial observability offerings, including Dynatrace. Databases : Among databases, Redis is the most used at 60%.

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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. – DevOps Engineer, large healthcare company. To know which services are impacted, DevOps teams need to know what’s happening with their messaging systems. This is great!

Analytics 246