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Data Science vs Cloud Computing: Differences With Examples

Knowledge Hut

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds.

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

Cloudera

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

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Cloudera Named a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS)

Cloudera

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. We do it today when data is even bigger, and hybrid — and clouds — are expensive. This is unique.

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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. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas.

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What are the Features of Big Data Analytics

Knowledge Hut

These technologies are necessary for data scientists to speed up and increase the efficiency of the process. The main features of big data analytics are: 1. Data wrangling and Preparation The idea of Data Preparation procedures conducted once during the project and performed before using any iterative model.

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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.

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

Knowledge Hut

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.