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Cloud Data Science News Beta #2

Data Science 101

Amazon AWS. If you would like to get the Cloud Data Science News as an email, you can sign up for the Cloud Data Science Newsletter. GitHub Actions for Azure go GA GitHub actions can now deploy databases and fire off pipelines in Azure Announcing FarmBeats All about using AI and ML on the farm.

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. Microsoft Azure Cloud is favored by many companies, especially for European industrial companies, due to its scalability, flexibility, and industry-specific solutions.

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What is Salesforce Data Cloud for Tableau?

Tableau

Allison (Ally) Witherspoon Johnston Senior Vice President, Product Marketing, Tableau Bronwen Boyd December 7, 2022 - 11:16pm February 14, 2023 In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important. Up to date. Let’s explore how.

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Driving Business Value and ROI from a Hybrid Cloud Data Lake

Alation

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models.

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How Alation & Snowflake Integrate the Cloud Data Management Capabilities Framework (CDMC)

Alation

In 2019 the EDM Council decided that a new extension for managing sensitive data in the cloud was required, so they created the Cloud Data Management Capability (CDMC) working group. The working group produced a new Cloud Data Management Framework for sensitive data, which was announced earlier this month.

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Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

How to Learn Machine Learning

Data Storage and Management Once data have been collected from the sources, they must be secured and made accessible. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

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Discovering the Role of Data Science in a Cloud World

Pickl AI

Each platform offers unique capabilities tailored to varying needs, making the platform a critical decision for any Data Science project. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.