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Data ingestion pipeline with Operation Management

Netflix Tech

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. We store all OperationIDs which are in STARTED state in a distributed cache (EVCache) for fast access during searches. in a video file.

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Scalable Model Development and Production in Snowflake ML

Snowflake

Snowflake ML now also supports the ability to generate and use synthetic data, now in public preview. All customer accounts are automatically provisioned to have access to default CPU and GPU compute pools that are only in use during an active notebook session and automatically suspended when inactive.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment. This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority.

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Fueling the Future of GenAI with NiFi: Cloudera DataFlow 2.9 Delivers Enhanced Efficiency and Adaptability

Cloudera

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. and its potential to revolutionize data flow management. access our free 5-day trial now. If you can’t wait to try Apache NiFi 2.0,

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Introducing Compute-Compute Separation for Real-Time Analytics

Rockset

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

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Manufacturing Data Ingestion into Snowflake

Snowflake

Accessing data from the manufacturing shop floor is one of the key topics of interest with the majority of cloud platform vendors due to the pace of Industry 4.0 Working with our partners, this architecture includes MQTT-based data ingestion into Snowflake. Industry 4.0, Stay tuned for more insights on Industry 4.0

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How to Design a Modern, Robust Data Ingestion Architecture

Monte Carlo

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Data Storage : Store validated data in a structured format, facilitating easy access for analysis. A typical data ingestion flow.