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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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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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Advancing Data Fabric with Micro-segment Creation in IBM Knowledge Catalog

IBM Data Science in Practice

Recently introduced as part of I BM Knowledge Catalog on Cloud Pak for Data (CP4D) , automated microsegment creation enables businesses to analyze specific subsets of data dynamically, unlocking patterns that drive precise, actionable decisions. Step 4: Press SelectColumn Select the column you want to base segmentation on.

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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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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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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

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The data in Amazon Redshift is transactionally consistent and updates are automatically and continuously propagated. Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization.

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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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