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Data Engineering Weekly #161

Data Engineering Weekly

There will be food, networking, and real-world talks around data engineering. These improvements, part of Project Lightspeed, aim to reduce latency and increase throughput for stateful streaming queries, making them more efficient and cost-effective. Visit rudderstack.com to learn more.

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Data Pipelines in the Healthcare Industry

DareData

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

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Top Companies for Full Stack Developer [2023]

Knowledge Hut

In other words, a Full Stack Developer is comfortable working with HTML, CSS, JavaScript, and PHP, as well as databases like MySQL. Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB. The company is headquartered in Gurgaon, India.

Food 52
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Unlocking the Future of Blockchain: Recent Trends and Potential

Edureka

Traditional centralized databases are prone to data breaches and hacking, which frequently results in exposed personal and financial information. Blockchain may be used to monitor the path of commodities from source to consumer in industries dealing with provenance difficulties, such as the diamond business or organic food supply chains.

Medical 52
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How a Fortune500 CPG Leader Takes a Proactive Approach to Data Quality

Monte Carlo

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” If you’re a data leader, investing in your data quality isn’t a project for tomorrow. It’s really fueling our everyday decisions.

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How a Fortune100 CPG Leader Takes a Proactive Approach to Data Quality

Monte Carlo

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” If you’re a data leader, investing in your data quality isn’t a project for tomorrow. It’s really fueling our everyday decisions.

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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

RAG involves integrating a real-time database into the LLM’s response generation process, while fine-tuning trains models on targeted datasets to improve domain-specific responses. That implies working with new patterns like vector databases.” RAG workflow. Image Courtesy of Monte Carlo. “I That’s how I felt.