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Data Warehouse vs Big Data

Knowledge Hut

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. Data warehousing offers several advantages.

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Gen AI Perspectives from Industry Leaders Shaping the Future

Snowflake

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data. That day, you should know, has passed.”

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Data Engineering Weekly #166

Data Engineering Weekly

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. The emerging of composable data stack, and open data stack is certainly an interesting trend to watch.

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Data Engineering Weekly #161

Data Engineering Weekly

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. The article concludes with a look at data contracts as a concrete example of these principles in practice.

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Optimizing the Value of AI Solutions for the Public Sector

Cloudera

Defense and Intelligence Communities : The defense and intelligence communities face significant cybersecurity threats, with malicious actors trying to penetrate their systems continually. Limit access and capabilities initially. Trust your data. Our government leaders had several suggestions: Start small.

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How to get datasets for Machine Learning?

Knowledge Hut

B ut it is a great resource for u sers /learners to get better conne cted with the data and draw insights from it by applying different types of algorithms on it. Data science and its associated fields use algorithms, processes, and other modern tools and techniques to draw insights from vast amounts of structured and unstructured data.

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3 Use Cases for Generative AI Agents

DareData

In this blog post, we'll delve into some of our project portfolio in the Generative AI space and understand how we are deploying GenAI at our customers. Positioned as the first commercial application of its kind within NOS , this chatbot serves as a gateway for customers to access information about NOS services seamlessly.