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AI-Driven Intent-Based Networking: The Future of Network Management Using AI

DZone

We are living in a world where the internet is an inseparable part of our lives, and with the growth of Cloud computing and increased demand for AI/ML-based applications, the demand for network capacity is unstoppable. It translates high-level business intent into network policies to configure the underlying network.

Network 162
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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. This information is essential for later advanced analytics and aircraft tracking. The ADS-B protocol differs significantly from web technologies.

IoT 264
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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 264
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Simplify complex cloud-native environments with AI-driven observability

Dynatrace

Monitor your cloud OpenPipeline ™ is the Dynatrace platform data-handling solution designed to seamlessly ingest and process data from any source, regardless of scale or format. Furthermore, OpenPipeline is designed to collect and process data securely and in compliance with industry standards.

Cloud 299
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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. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321
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Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study.

Analytics 191
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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

Insecure design This broad category refers to fundamental design flaws in the application caused by a failure to implement necessary security controls during the design stage. Use a safe development life cycle with secure design patterns and components. Apply threat modeling and plausibility checks.