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Stay in Control of Your Data with a Secure and Compliant Sovereign Cloud

CIO Business Intelligence

Regulations, compliance, and how data is controlled and managed is becoming more of a critical factor globally, with more than 157 countries around the world having some form of data privacy laws, and thus putting a spotlight on sovereign clouds. There are four key use cases to consider around sovereign cloud. based company.

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Scaling Kafka Brokers in Cloudera Data Hub

Cloudera

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Balancing performance and cloud costs requires that administrators scale up or scale down accordingly.

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Setting up and Getting Started with Cloudera’s New SQL AI Assistant

Cloudera

or higher on the public cloud. Getting started with the SQL AI Assistant Later in this blog we will walk you through the steps of how to configure your Cloudera environment to use the SQL AI Assistant with your supported LLM of choice. The SQL AI Assistant can be configured with many pre-trained models for better multi-lingual support.

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What Is Cloud Data Security?

Laminar Security

Shifting to the cloud is a necessary step for today’s businesses to get and stay ahead. The cloud allows employees to access data from almost anywhere at any time, which enhances resource accessibility, improves team collaboration, and simplifies administration. But, securing data in today’s fast-paced cloud ecosystems is a tall order.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Cloud gets introduced: Amazon AWS launched in public beta in 2006. Cloud evolves. It’s a multi-cloud world. It’s a hybrid-cloud world. the flywheel effect.

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Implement Apache Flink near-online data enrichment patterns

AWS Big Data

Based on the sensor ID, we enrich this sensor information from the Sensor Info API (3), which provide us with information of the brand, location, and an image. It first retrieves the sensor info as a Java Future , which represents the result of an asynchronous computation. toCompletableFuture().get();

Testing 89
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Implement Apache Flink real-time data enrichment patterns

AWS Big Data

Based on the sensor ID, we enrich this sensor information from the Sensor Info API (3), which provide us with information of the brand, location, and an image. It first retrieves the sensor info as a Java Future , which represents the result of an asynchronous computation. toCompletableFuture().get();

Testing 52