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

datapine

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

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Dynamic DAG generation with YAML and DAG Factory in Amazon MWAA

AWS Big Data

Dynamic DAGs helps you to create, schedule, and run tasks within a DAG based on data and configurations that may change over time. By harnessing the power of YAML files and the DAG Factory library, we unleash a versatile approach to building and managing DAGs, empowering you to create robust, scalable, and maintainable data pipelines.

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CIOs not entirely sold on generative AI copilots

CIO Business Intelligence

AI tools can help coders clean up logic and coding errors and find security problems, and they may also help to accelerate programmers’ skills, cutting the sunk cost of internal training, he suggests. But Microsoft still has work to do on its value proposition. Right now, am I inclined to pay at scale? No,” he says. Yeah, that makes sense.”

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Getting Started with Data Storytelling

Juice Analytics

How to get started with data storytelling? For the beginner — and even for the experienced data analyst or data scientist — data storytelling can be a vague, disorientating concept. The “last mile” of analytics Data storytelling is about helping make your work pay off. How do they best absorb data?

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The quest for high-quality data

O'Reilly on Data

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

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An AI Chat Bot Wrote This Blog Post …

DataKitchen

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

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How Data Storytelling Can Build Better Customer Connections

Juice Analytics

The same is true about delivering data to your customers. It is a delightful journey through personalized data and a reminder of how much you have enjoyed the service throughout the year. But what if Hubspot’s reporting had more ambitious goals than a simple data access interface? Spotify is more the exception than the rule.