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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. Snowflake users can connect directly from Amazon SageMaker Canvas to generate accurate ML predictions without any code required.

AWS 101
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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

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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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

Snowflake Features that Make Data Science Easier Building Data Applications with Snowflake Data Warehouse Snowflake Data Warehouse Architecture How Does Snowflake Store Data Internally? Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

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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.