Cloudera's Edge AI Solutions Simplify Multisource Datastreams
Colin Smith — September 15, 2023 — Tech
References: cloudera
Cloudera is a company that helps businesses use data from different sources and locations to power their data-driven applications. Cloudera’s Edge to AI platform offers various products and services that make it easy for customers to work with data from the edge to AI across different clouds.
One of the important parts of Cloudera’s Edge to AI platform is Cloudera Edge Management (CEM), which is a solution that lets customers manage, monitor, and control data flows from many edge devices and sources. CEM works with Cloudera DataFlow (CDF), which is a solution that helps customers ingest, manage, analyze, and transform data in real time using streaming analytics, data processing, and machine learning. CDF uses Apache NiFi, Apache Kafka, Apache Spark, and other open-source technologies to build data pipelines from the edge to AI.
Image Credit: Shutterstock
One of the important parts of Cloudera’s Edge to AI platform is Cloudera Edge Management (CEM), which is a solution that lets customers manage, monitor, and control data flows from many edge devices and sources. CEM works with Cloudera DataFlow (CDF), which is a solution that helps customers ingest, manage, analyze, and transform data in real time using streaming analytics, data processing, and machine learning. CDF uses Apache NiFi, Apache Kafka, Apache Spark, and other open-source technologies to build data pipelines from the edge to AI.
Image Credit: Shutterstock
Trend Themes
1. Edge AI Solutions - Opportunity for businesses to streamline dataflows from edge devices to AI through Cloudera's Edge Management and DataFlow solutions.
2. Multisource Datastreams - Ability for businesses to easily manage and analyze data from multiple sources and locations using Cloudera's Edge to AI platform.
3. Real-time Streaming Analytics - Potential for businesses to leverage Cloudera's DataFlow solution to process and transform data in real time, enabling faster decision-making.
Industry Implications
1. Iot - Cloudera's Edge AI Solutions could revolutionize the way IoT data is managed and leveraged for insights.
2. Big Data - Opportunity for Big Data companies to enhance their data processing capabilities through Cloudera's Edge to AI platform.
3. Machine Learning - Cloudera's Edge to AI platform presents an opportunity for Machine Learning industry to easily access and analyze data from edge devices for model training and predictions.
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