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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 190
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Dynatrace unveils Security Analytics to elevate threat detection, forensics, and incident response

Dynatrace

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Unraveling these hidden threats requires a proactive and adaptive approach, leveraging advanced technologies and threat intelligence to uncover vulnerabilities and mitigate potential risks.

Analytics 220
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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 242
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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database. Dynatrace extensions can easily query data from various databases and store the results in Grail™, the Dynatrace data lakehouse. This can be accomplished using Dynatrace extensions.

Database 228
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Adding business analytics data to your observability strategy delivers better business outcomes

Dynatrace

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. In the process, they’re adopting more tools and technologies. These technologies generate a crush of observability data. Data silos.

Analytics 191
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment.