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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. All these architecture patterns are integrated with Amazon Kinesis Data Streams.

Analytics 111
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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud. Data governance was completely balkanized, if it existed at all. The Well-Governed Hybrid Data Cloud: 2018-today.

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When Private Cloud is the Right Fit for Public Sector Missions

Cloudera

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. It’s here where the private cloud delivers.

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4 paths to sustainable AI

CIO Business Intelligence

For example, using ML to route IoT messages may be unwarranted; you can express the logic with a rules engine.” Online gaming company Mino Games uses DataGPT, which integrates analytics, a caching database, as well as extract, translate and load (ETL) processes to speed queries, such as which new features to offer players.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated. Data streaming in real-time enables an organization to act in the moment, which eventually enables it to prosper.

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Surviving Radical Disruption with Data Intelligence

erwin

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role.