Remove tag How to manage change requests
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Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes

AWS Big Data

Some of the important non-functional use cases for an S3 data lake that organizations are focusing on include storage cost optimizations, capabilities for disaster recovery and business continuity, cross-account and multi-Region access to the data lake, and handling increased Amazon S3 request rates. With the s3.delete.tags

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Data privacy examples

IBM Big Data Hub

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. A navigation app anonymizes activity data before analyzing it for travel trends.

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Cloud Analytics Powered by FinOps

Cloudera

The main challenges are pointed out as a lack of resources/expertise, security, and from a different perspective, cloud cost management. Besides the advantages and changes in the technical aspects cloud brings, it imposes a paradigm shift from the traditional way of managing costs and procurement. Why FinOps?

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Use IAM runtime roles with Amazon EMR Studio Workspaces and AWS Lake Formation for cross-account fine-grained access control

AWS Big Data

EMR Studio provides fully managed Jupyter notebooks and tools such as Spark UI and YARN Timeline Server via EMR Studio Workspaces. Data is often stored in data lakes managed by AWS Lake Formation , enabling you to apply fine-grained access control through a simple grant or revoke mechanism. This helps you reduce operational overhead.

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10 most in-demand generative AI skills

CIO Business Intelligence

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Assumptions. In our data adventure we assume the following: . Company data exists in the data lake.

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Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

In this post, we show how to process XML data using AWS Glue and Athena. This approach provides a user-friendly interface and is particularly suitable for individuals who prefer a graphical approach to managing their data. Firstly, XML files are used in many industries, including finance, healthcare, and government. xml and technique2.xml.