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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.

Analytics 146
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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

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It’s time to abandon business intelligence tools

TechCrunch

Charles Caldwell is VP of product management at Logi Analytics , which empowers the world’s software teams with intuitive, developer-grade embedded analytics solutions. He has more than 20 years’ experience in the analytics market, including 10+ years of direct customer implementation experience. Charles Caldwell. Contributor.

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Implementing a Version Control System for AWS QuickSight

Xebia

Introduction In today’s data-driven world, business intelligence tools are indispensable for organizations aiming to make informed decisions. However, as with any data analytics platform, managing changes to reports, dashboards, and data sets is a critical concern.

AWS 130
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Analytics operating system Redbird makes data more accessible to non-technical users

TechCrunch

Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. Erin formerly worked at McKinsey, helping companies set up and run data analytics capabilities, while Deren was chief product officer at Saks Fifth Avenue.

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The future of data: A 5-pillar approach to modern data management

CIO

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. They must also select the data processing frameworks such as Spark, Beam or SQL-based processing and choose tools for ML.

Data 167
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Can AI solve your technical debt problem?

CIO

Just as generative AI tools are fundamentally changing the ways developers write code, theyre being used to refactor code as well. AI tools can be adept at spotting code that technically works but is poorly designed and could give rise to future problems exactly the sort of code you need to eliminate to pay down tech debt.