Remove Data Processing Remove Publishing Remove Testing
article thumbnail

Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

We want to publish this data to Amazon DataZone as discoverable S3 data. Custom subscription workflow architecture diagram To implement the solution, we complete the following steps: As a data producer, publish an unstructured S3 based data asset as S3ObjectCollectionType to Amazon DataZone.

article thumbnail

Eight Top DataOps Trends for 2022

DataKitchen

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. Model developers will test for AI bias as part of their pre-deployment testing. Companies Commit to Remote.

Testing 245
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Integrate custom applications with AWS Lake Formation – Part 2

AWS Big Data

Solution overview AWS AppSync creates serverless GraphQL and pub/sub APIs that simplify application development through a single endpoint to securely query, update, or publish data. For simplicity, we use the Hosting with Amplify Console and Manual Deployment options. The base application is shown in the workspace browser.

article thumbnail

Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

Collaborating closely with our partners, we have tested and validated Amazon DataZone authentication via the Athena JDBC connection, providing an intuitive and secure connection experience for users. Publish data assets – As the data producer from the retail team, you must ingest individual data assets into Amazon DataZone.

article thumbnail

Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

For each service, you need to learn the supported authorization and authentication methods, data access APIs, and framework to onboard and test data sources. The SageMaker Lakehouse data connection testing capability boosts your confidence in established connections. On your project, in the navigation pane, choose Data. Choose Next.

article thumbnail

Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. You need to determine if you are going with an on-premise or cloud-hosted strategy. Finalize testing. Train end-users.

article thumbnail

Perform Amazon Kinesis load testing with Locust

AWS Big Data

Building a streaming data solution requires thorough testing at the scale it will operate in a production environment. However, generating a continuous stream of test data requires a custom process or script to run continuously. In our testing with the largest recommended instance (c7g.16xlarge),

Testing 87