Remove Big Data Remove Data Engineering Remove Healthcare Remove IoT
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How IoT Drives the Need for Network Management Tools

Kentik

Looking into Network Monitoring in an IoT enabled network. Whether financial, healthcare, energy, manufacturing, or web enterprises, across all industries, a common goal is digitizing the organization as fast as possible. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT).

IoT 40
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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? How can it be used in healthcare besides informing individual users of their activity level? What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big?

Big Data 116
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Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. But it requires a different engineering approach and not just because of its amount. Data engineering vs big data engineering.

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Why Are We Excited About the REAN Cloud Acquisition?

Hu's Place - HitachiVantara

REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78
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Data Lake Engineering Services

Mobilunity

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

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Personalized Insurance: Auto and Telematics, Health, and Other Success Stories

Altexsoft

On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. The platform facilitates the customer’s interaction with their healthcare professionals. You’ll need a data engineering team for that.