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CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog

This includes the creation of SQL Code, DACPAC files, SSIS packages, Data Factory ARM templates, and XMLA files. Support for Various Data Warehouses and Databases : AnalyticsCreator supports MS SQL Server 2012-2022, Azure SQL Database, Azure Synapse Analytics dedicated, and more. pipelines, Azure Data Bricks.

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

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The ultimate guide to Hyper-V backups for VMware administrators

Data Science Dojo

Windows Failover Clustering is applied in a number of different use cases, including file servers and SQL clusters, as well as Hyper-V. It replaces the XML file found in 2012 R2 and earlier. VMware “clustering” is purely for virtualization purposes. Clustering is built on top of the Windows Failover Cluster technology.

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. You can use query_string to filter your dataset by SQL and unload it to Amazon S3.

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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Only the oldest historical data (2003–2012) had flight delays comparable to 2022.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

We had to migrate our AuthZ backend from Airbyte to native SQL replication so that it can support access management in near real time at scale. The integration of text-to-SQL will enable users to query structured databases using natural language, simplifying data access.

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How to Create Iceberg Tables in Snowflake

phData

c.i. { "Version": "2012-10-17", "Statement": [ { "Sid": "", "Effect": "Allow", "Principal": { "AWS": " " }, "Action": "sts:AssumeRole", "Condition": { "StringEquals": { "sts:ExternalId": " " } } } ] } Grant usage on external volume to the role used to create Iceberg tables. net.snowflake:snowflake-jdbc:3.14.2,software.amazon.awssdk:bundle:2.20.160,software.amazon.awssdk:url-connection-client:2.20.160"

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