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Getting Started with Google Cloud Platform in 5 Steps

KDnuggets

Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.

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Databricks Wins 2024 Google Cloud Partner of the Year Award

databricks

We're excited to announce that Databricks has been honored with the 2024 Google Cloud Technology Partner of the Year award for Data -.

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5 Simple Steps Series: Master Python, SQL, Scikit-learn, PyTorch & Google Cloud

KDnuggets

Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform.

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Why are Cloud Development Environments Spiking in Popularity, Now?

The Pragmatic Engineer

In this article, we cover a fresh industry trends: Cloud Developent Environments — which is analysis full subscribers have received 3 weeks ago. There is a quiet revolution unfolding at tech companies: cloud development environments (CDEs). The Cloud is spreading and offering more capabilities. Larger codebases.

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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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Creating a Data Pipeline with Spark, Google Cloud Storage and Big Query

Towards Data Science

On-premise and cloud working together to deliver a data product Photo by Toro Tseleng on Unsplash Developing a data pipeline is somewhat similar to playing with lego, you mentalize what needs to be achieved (the data requirements), choose the pieces (software, tools, platforms), and fit them together.

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The Stream Processing Model Behind Google Cloud Dataflow

Towards Data Science

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. Before we move on To avoid more confusing Dataflow is the Google stream processing model.