AWS Machine Learning Blog

APRIL 16, 2024

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.

SQL 126

SQL AWS Database Data Scientist 126

Data Science Dojo

MARCH 27, 2023

From vCenter, administrators can configure and control ESXi hosts, datacenters, clusters, traditional storage, software-defined storage, traditional networking, software-defined networking, and all other aspects of the vSphere architecture. VMware “clustering” is purely for virtualization purposes.

Clustering 195

Clustering Database SQL 195

AWS Machine Learning Blog

JULY 17, 2023

In this post, we walk through step-by-step instructions to establish a cross-account connection to any Amazon Redshift node type (RA3, DC2, DS2) by connecting the Amazon Redshift cluster located in one AWS account to SageMaker Studio in another AWS account in the same Region using VPC peering.

Clustering 88

Clustering AWS ML ML 88

Flipboard

AUGUST 17, 2023

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. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster.

ML 123

ML ML AWS Data Warehouse 123

phData

MARCH 22, 2024

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"

SQL 52

SQL AWS Database Data Lakes 52

Cambridge Intelligence

OCTOBER 19, 2023

Relational databases (with recursive SQL queries), document stores, key-value stores, etc., Running graph queries in SQL, while possible, isn’t always simple – especially when building complex queries to join data from multiple source tables. can handle many graph-type problems.

Database 59

Database Azure SQL Analytics 59

AWS Machine Learning Blog

OCTOBER 11, 2024

Amazon Bedrock Knowledge Bases provides industry-leading embeddings models to enable use cases such as semantic search, RAG, classification, and clustering, to name a few, and provides multilingual support as well.

Database 107

Database AWS Clustering AI 107