Streaming Analytics
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Explore more → **Streaming Analytics**
What is Streaming Analytics?
Streaming analytics is the real-time analysis of data in motion. It is used to quickly identify patterns, anomalies, and trends in continuous data streams, enabling immediate action and decision-making. Common use cases include fraud detection, real-time marketing, IoT data analysis, and network monitoring.
What other technologies are related to Streaming Analytics?
Streaming Analytics Complementary Technologies
Azure Event Hub
A fully managed, real-time data ingestion service that's simple, trusted, and scalable. Often used as a source for streaming analytics.
Azure Data Factory
A cloud-based data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Can be used for pre-processing or post-processing data around streaming analytics.
Azure SQL
A family of managed, secure, and intelligent SQL cloud database services. Can be used to store the results of streaming analytics.
Number of organizations that mention technology
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Which job functions commonly mention Streaming Analytics?
Data Architect
0.1% of all Data Architect jobs mention Streaming Analytics
View 34
jobs on Sumble
Data Engineer
129 Data Engineer jobs mention Streaming Analytics
View 129
jobs on Sumble
Data, Analytics & Machine Learning
124 Data, Analytics & Machine Learning jobs mention Streaming Analytics
View 124
jobs on Sumble
Software Engineer
270 Software Engineer jobs mention Streaming Analytics
View 270
jobs on Sumble
Engineer
281 Engineer jobs mention Streaming Analytics
View 281
jobs on Sumble
Which organizations are mentioning Streaming Analytics?
GSK
Health Care and Social Assistance
esentri AG
Professional Services
Early Warning Services
Finance and Insurance
Mastercard
Finance and Insurance
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