Remove Customer Analytics Remove Data Processing Remove Metadata
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Announcing the 2021 Data Impact Awards

Cloudera

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. SECURITY AND GOVERNANCE LEADERSHIP.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers. Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs. Data and Metadata: Data inputs and data outputs produced based on the application logic.

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Key Takeaways from AWS re:Invent 2024

Cloudera

We also shared our Accelerators for Machine Learning Projects, or AMPs, which are templates for machine learning/AI models that customers can deploy with the click of a button and start to customize, reducing the time it takes to get models into production. This year, it seemed the table format needed no introduction.

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What Is Embedded Analytics?

Jet Global

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent. addresses).