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Snowflake’s AWS re:Invent Highlights for Fast-Tracking ML, Gen AI and Application Innovations 

Snowflake

We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. But without a governed data foundation, you can’t trust results or unlock all that’s possible with these breakaway technologies.

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Easy and Secure LLM Inference and Retrieval Augmented Generation (RAG) Using Snowflake Cortex

Snowflake

While every organization should keep both options on the table, to quickly deliver value, the key is to identify and deploy use cases that can deliver value using prompt engineering and retrieval augmented generation (RAG), as these can be fast and cost-effective approaches to get value from enterprise data with LLMs. What is RAG?

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Data Science vs Cloud Computing: Differences With Examples

Knowledge Hut

In this case, there is a higher risk of a security breach. All cloud models and resources can be accessible from the internet. Access to these resources is possible using any browser software or internet-connected device. With the rise of new technologies, there has been an overflow of large chunks of data.

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Cloudera Data Platform extends Hybrid Cloud vision support by supporting Google Cloud

Cloudera

One of our customers, Commerzbank, has used the CDP Public Cloud trial to prove that they can combine both Google Cloud and CDP to accelerate their migration to Google Cloud without compromising data security or governance. . Data Preparation (Apache Spark and Apache Hive) .

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Power BI vs DevOps: Which is Better?

Knowledge Hut

It transforms data from many sources in order to create dynamic dashboards and Business Intelligence reports. Data preparation, modelling, and visualization are expedited by this simple, low-cost method. Use the Power BI mobile app to access the dashboards, or use email, Teams, Weblink, or embedded into a website.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

Role Level: Intermediate Responsibilities Develop and enforce data governance policies, standards, and procedures in Azure environments. Implement data security measures, access controls, and encryption mechanisms to protect sensitive data.