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Cloud Data Science 9

Data Science 101

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3.

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Cloud Data Science News – Beta #4

Data Science 101

Sign Up for the Cloud Data Science Newsletter. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. It has a companion blog post: Deep Learning vs Machine Learning. We will have to wait and see. Announcements. Thanks for reading.

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How to Use Custom SQL and CSVs in Sigma Computing

phData

Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. One of Sigma’s key features is its support for custom SQL queries and CSV file uploads.

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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

A provisioned or serverless Amazon Redshift data warehouse. Basic knowledge of a SQL query editor. Implementation steps Load data to the Amazon Redshift cluster Connect to your Amazon Redshift cluster using Query Editor v2. For this post we’ll use a provisioned Amazon Redshift cluster. A SageMaker domain.

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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

By automating the provisioning and management of cloud resources through code, IaC brings a host of advantages to the development and maintenance of Data Warehouse Systems in the cloud. So why using IaC for Cloud Data Infrastructures? appeared first on Data Science Blog.

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Top 5 Fivetran Connectors for Healthcare

phData

In our previous blog, Top 5 Fivetran Connectors for Financial Services , we explored Fivetran’s capabilities that address the data integration needs of the finance industry. Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen.

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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.