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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. We also lacked a data buffer, risking potential data loss during outages.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. Why do risk and opportunity events matter?

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GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction

Ontotext

In today’s world, we increasingly interact with the environment around us through data. For all these data operations to flow smoothly, data needs to be interoperable, of good quality and easy to integrate. ” “How does this region/event compare to other regions/events?”

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud. Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics.

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New Amazon CloudWatch log class to cost-effectively scale your AWS Glue workloads

AWS Big Data

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. For example, AWS Glue Auto Scaling and AWS Glue Flex can help you reduce the compute cost associated with processing your data. Choose Save.

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Announcing the GA of Cloudera DataFlow for the Public Cloud on Microsoft Azure

Cloudera

Solving Common Data Integration Use Cases with CDF-PC on Azure. CDF-PC helps Azure customers implement key data integration use cases that require data movement, filtering and transformation at scale. Figure 2: Moving application log data from Azure Event Hub to ADLS Gen2 and SIEM systems.

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What is a customer data platform? A unified customer database

CIO Business Intelligence

By applying machine learning to the data, you can better predict customer behavior. Gartner has identified four main types of CDPs: marketing cloud CDPs, CDP engines and toolkits, marketing data-integration CDPs, and CDP smart hubs. Customer data platform vendors. Salesforce Interaction Studio. Types of CDPs.