Home » com.amazonaws » aws-java-sdk-sagemakerfeaturestoreruntime » 1.12.776

AWS Java SDK For Amazon SageMaker Feature Store Runtime » 1.12.776

The AWS Java SDK for Amazon SageMaker Feature Store Runtime module holds the client classes that are used for communicating with Amazon SageMaker Feature Store Runtime Service

LicenseApache 2.0
Tagssagemakerawsamazonsdk
HomePage https://aws.amazon.com/sdkforjava 🔍 Inspect URL
DateOct 19, 2024
Filespom (3 KB)  jar (97 KB)  View All
RepositoriesCentralMulesoft
Ranking#235094 in MvnRepository (See Top Artifacts)
Used By2 artifacts

Note: There is a new version for this artifact

New Version1.12.793

Scope:
Scope:
Format:
Scope:
Scope:
Scope:
Scope:
Scope:
Scope:

Compile Dependencies (2)

Category/License Group / ArtifactVersionUpdates
Cloud Computing
Apache 2.0		com.amazonaws » aws-java-sdk-core 1.12.7762.38.7
JSON Query
Apache 2.0		com.amazonaws » jmespath-java 1.12.7761.12.793

Test Dependencies (1)

Category/License Group / ArtifactVersionUpdates
Testing
Apache 2.0		com.amazonaws » aws-java-sdk-test-utils 1.12.7762.38.7

Licenses

LicenseURL
Apache License, Version 2.0 https://aws.amazon.com/apache2.0

Developers

NameEmailDev IdRolesOrganization
amazonwebservicesdeveloperAmazon Web Services

Related Books

AWS SageMaker for Beginners: Cloud Machine Learning Made EasyAWS SageMaker for Beginners: Cloud Machine Learning Made Easy (2025)
by Calado, Leandro
System Design on AWS: Building and Scaling Enterprise SolutionsSystem Design on AWS: Building and Scaling Enterprise Solutions (2025)
by Kumar, Jayanth, Singh, Mandeep
Engineering Resilient Systems on AWS: Design, Build, and Test for ResilienceEngineering Resilient Systems on AWS: Design, Build, and Test for Resilience (2024)
by Schwarz, Kevin, Moran, Jennifer, Bachmeier, Nate
Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKSJava Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS (2024)
by Christudas, Binildas A.
Building and Delivering Microservices on AWS: Master software architecture patterns to develop and deliver microservices to AWS CloudBuilding and Delivering Microservices on AWS: Master software architecture patterns to develop and deliver microservices to AWS Cloud (2023)
by Singh, Amar Deep, Carpenter, Jeff
Amazon Web Services in Action, Third Edition: An in-depth guide to AWSAmazon Web Services in Action, Third Edition: An in-depth guide to AWS (2023)
by Wittig, Andreas, Wittig, Michael
Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMakerComputer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker (2023)
by Mullennex, Lauren, Bachmeier, Nate, Rao, Jay
Getting Started with Amazon SageMaker Studio: Learn to build end-to-end machine learning projects in the SageMaker machine learning IDEGetting Started with Amazon SageMaker Studio: Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE (2022)
by Hsieh, Michael
AWS Cookbook: Recipes for Success on AWSAWS Cookbook: Recipes for Success on AWS (2022)
by Culkin, John, Zazon, Mike
Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists, 2nd EditionLearn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists, 2nd Edition (2021)
by Simon, Julien
Amazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMakerAmazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker (2021)
by Muppala, Sireesha, DeFauw, Randy, Eigenbrode, Shelbee
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning PipelinesData Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines (2021)
by Fregly, Chris, Barth, Antje
Programming AWS Lambda: Build and Deploy Serverless Applications with JavaProgramming AWS Lambda: Build and Deploy Serverless Applications with Java (2020)
by Chapin, John, Roberts, Mike
Machine Learning for Business: Using Amazon SageMaker and JupyterMachine Learning for Business: Using Amazon SageMaker and Jupyter (2020)
by Doug Hudgeon, Richard Nichol
Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon RekognitionMachine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition (2019)
by Mishra, Abhishek
Learning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS CloudLearning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS Cloud (2019)
by Wilkins, Mark
Serverless Programming Cookbook: Practical solutions to building serverless applications using Java and AWSServerless Programming Cookbook: Practical solutions to building serverless applications using Java and AWS (2019)
by Kanikathottu, Heartin
Practical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWSPractical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWS (2017)
by Gulabani, Sunil