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Cloud Analytics Powered by FinOps

Cloudera

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. Cloudera FinOps Capabilities CDP is a cloud-native platform helping companies accelerate cloud adoption to run their data and analytics workloads.

Cloud 74
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Data security vs usability: you can have it all

Cloudera

Provided new data is automatically classified and tagged, the right data access rules can be applied based on that data’s characterization. Attribute or tag-based data access (ABAC) policies ensure the same data can be presented to different users or groups in the appropriate format: as-is, obfuscated, or hidden.

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From Big Data to Better Data: Ensuring Data Quality with Verity

Lyft Engineering

Finally, as the subject of this blog post, we can assess data quality via batch compute analytics on our data warehouse, providing a comprehensive albeit slower evaluation compared to the previously mentioned methods. Our Analytic Event Lifecycle below demonstrates the workflow of how much of our data gets to Hive.

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One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

Related but different, CDSW can automate analytics workloads with an integrated job-pipeline scheduling system to support real-time monitoring, job history, and email alerts. Impala vs Spark Use Impala primarily for analytical workloads triggered by end users. Visit our Data and IT Leaders page to learn more.

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Scalable Annotation Service?—?Marken

Netflix Tech

Annotations Sometimes people describe annotations as tags but that is a limited definition. All data should be also available for offline analytics in Hive/Iceberg. We will cover more details on Semantic Search support in a future blog article. We support semantic search using Open Distro for ElasticSearch .

Algorithm 113
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Five Ways A Modern Data Architecture Can Reduce Costs in Telco

Cloudera

Reducing cost with modern data architecture A recent report from McKinsey says that “Telcos’ success hinges on leveraging data and deploying advanced analytics, AI, and automation at scale to drive new growth and change the broader economics of the business.” Offload data from legacy, on-premises analytic platforms and appliances.

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Data Collection And Management To Power Sound Recognition At Audio Analytic

Data Engineering Podcast

The team at Audio Analytic are working to impart a sense of hearing to our myriad devices with their sound recognition technology. Can you start by describing what you are building at Audio Analytic? The team at Audio Analytic are working to impart a sense of hearing to our myriad devices with their sound recognition technology.