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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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Data Science vs Cloud Computing: Differences With Examples

Knowledge Hut

To further understand cloud computing vs. data science, here are some essential differences that need to be noted: 1. Cloud computing is an infrastructure or technology to give dynamic and continuous IT services. Cloud Computing provides storage, scalable compute, and network bandwidth to handle substantial data applications.

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

Knowledge Hut

Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service. Role Level: Intermediate Responsibilities Develop and enforce data governance policies, standards, and procedures in Azure environments.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing.

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

Cloudera

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. Data Preparation (Apache Spark and Apache Hive) .

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. Multi-Cloud Support- Snowflake is a fully managed data warehouse deployed across various clouds while maintaining the same intuitive user interface.

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50 Artificial Intelligence Interview Questions and Answers [2023]

ProjectPro

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.