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This capability could make interoperability a reality for the healthcare industry, which has struggled to share data across physician offices, hospitals, and insurance companies. The Kafka interface also provides onramps and offramps for data from the stream to share information with customers, partners, or third parties. “The cloud democratizes this.” Real-time updates of health informationĪlthough healthcare companies were not the initial customers for this kind of database management, there is a lot of potential to manage complex event processing, such as drug interactions during clinical trials or patients receiving care from multiple specialists. “Without the cloud, the complexity is really high, and normal companies don’t have all of the computer science talent to support that,” he said. Rosanova said that cloud computing is the other key element of the Confluent platform. SEE: Big data: How wide should your lens be? It depends on your use (TechRepublic)

When a security team develops a new model, they could rerun every transaction for the last 30 days to see if the new model catches fraudulent transactions. Rosanova said that one common application for this replay functionality is in fraud detection.

The ability to capture events and rerun them at a later date.

The ability to create custom views of the same stream of data.

The ability to build onramps and offramps from the main stream.

Managing events in a stream creates three new capabilities: “A salesperson could set an alert to get an alert any time a customer has more than three support tickets within a week and is above some threshold of spend,” he said. Instead of manually combining information from databases from sales, customer service, and fulfillment, companies can use Kafka to create an ongoing feed of everything that is happening in a company. This means seeing actions–such as a sale or a customer service interaction–as an event and using the data from that event to power real-time recommendations, decisions, or related actions.ĭan Rosanova, head of product management for Confluent Cloud, said every company is expected to have this level of data management sophistication, which requires a new kind of data infrastructure. The idea was to bring the real-time data management used by tech companies like Netflix and Uber to other industries. They left the networking platform to launch Confluent to use Kafka to create a “central nervous system” for managing corporate data.

Jay Kreps, Neha Narkhede, and Jun Rao created Apache Kafka while they were at LinkedIn. To do this, Humana turned to Confluent, a company using Apache Kafka to create a new way of managing a company’s data.

Mail merge on mac frustrating pdf#

SSEE: Managing the multicloud (ZDNet/TechRepublic special feature) | Download the free PDF version (TechRepublic) The health insurance company is using event streaming technology to turn data silos into one merged data stream. The goal is to make sure everyone in the healthcare world is working from the same and most up-to-date information. Humana is taking on this problem by modernizing its data management architecture. At best, this problem is annoying and at worst it can be life-threatening.

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These disconnected data points make it hard for doctors to see the full pictures and for patients to get coordinated care.

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One provider often doesn’t have the latest update from another, and it’s frequently up to the patient to connect the dots. Patient data lives in multiple silos-the pharmacy record, the home healthcare visit, the specialist’s recommendations, the electronic medical record at the local hospital.

Mail merge on mac frustrating Pc#

Windows 365 is the long-awaited Microsoft Cloud PC serviceĪWS Lambda, a serverless computing framework: A cheat sheet (free PDF)Ĭloud data warehouse guide and checklist (TechRepublic Premium)