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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics. After the data is in Amazon Redshift, dbt models are used to transform the raw data into key metrics such as ticket trends, seller performance, and event popularity.

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AI Product Management After Deployment

O'Reilly on Data

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today. Structured Query Language (SQL) is the most popular language utilized to create, access, manipulate, query, and manage databases. The best part is you’ll learn SQL methodically, systematically, and simply – in 22 short, quick lessons.

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Amazon OpenSearch Service launches flow builder to empower rapid AI search innovation

AWS Big Data

These innovations run AI search flows to uncover relevant information through semantic, cross-language, and content understanding; adapt information ranking to individual behaviors; and enable guided conversations to pinpoint answers. The visual designer is recommended for helping you manage workflow projects.

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Write queries faster with Amazon Q generative SQL for Amazon Redshift

AWS Big Data

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. Custom context enhances the AI model’s understanding of your specific data model, business logic, and query patterns, allowing it to generate more relevant and accurate SQL recommendations.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

How do you get into this field? What does a profession in this field look like? This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. Do you need a good business intelligence resume?

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. When customer records are duplicated or incomplete, personalization fails.