Remove tag Business architecture for business analysts
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Automated data governance with AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation

AWS Big Data

Poor data quality can lead to erroneous decisions, inefficient operations, and compromised business performance. In this post, we showcase how to use AWS Glue with AWS Glue Data Quality , sensitive data detection transforms , and AWS Lake Formation tag-based access control to automate data governance.

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Accelerate release lifecycle with pathway to deploy: Part 1

IBM Big Data Hub

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations). Those objectives require a target operating model.

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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. The company has previously created a business unit tenant in CDP Public Cloud. Assumptions.

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Automate alerting and reporting for AWS Glue job resource usage

AWS Big Data

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. Picture a scenario where you, the VP of Data and Analytics, are in charge of your data and analytics environments and workloads running on AWS where you manage a team of data engineers and analysts.

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How Huron built an Amazon QuickSight Asset Catalogue with AWS CDK Based Deployment Pipeline

AWS Big Data

This is a guest blog post co-written with Corey Johnson from Huron. It helps engineers, analysts and businesses access the most up-to-date release of the software asset that bring accuracy to the decision-making process. To help address its clients’ growing cloud needs, Huron is an AWS Partner.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work. How can organizations prepare for AGI?

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Ontotext Invents the Universe So You Don’t Need To

Ontotext

As engineers we can sometimes get lost in the details of the implementation, the architecture, the construction, and we can lose sight of the business need that necessitated the development project in the first place. After all, you just want some pie. Discoverability, Insights and Decision-Making.