AWS Public Sector

JUNE 5, 2024

It simplifies the process of data preparation, model training, and hosting a secure inference endpoint into a set of workbench magic commands that can be end-to-end in a Neptune graph notebook. Once graph data is exported, Neptune ML makes it easy to train the ML model and deploy it to an Amazon SageMaker endpoint.

Data 81

Data Export Sustainability Networking 81

AWS Public Sector

SEPTEMBER 13, 2024

In order to use Neptune ML, the graph data is exported back to Amazon S3 using the Neptune-Export service. Export graph data to Amazon S3 for use with Neptune ML Training a GNN using Neptune ML requires that training data is provided and formatted such that it can be used by the Deep Graph Library.

Data 78

Data Export Sustainability Capacity 78

AWS Public Sector

OCTOBER 23, 2024

In this post, we present an end-to-end analytical workflow to predict rideshare demand, with a special focus on data engineering—a crucial and often time-consuming step in any data science project that uses location analytics. . Aggregate data to H3 bins (resolution 8) - an example chicago_trips_h3bins = trip_data_cleaned1.withColumn("bin",

Demand 59

Demand Engineering Data Export 59

FedScoop

OCTOBER 31, 2024

“Typically, agencies advise employees to either take a screenshot of the message and forward it to their official accounts or to use an export feature in the app, if available. NARA has a website with more information available about managing email and emessages.”

Electronics 117

Electronics Logistics End to End Accountability 117

AWS Public Sector

FEBRUARY 7, 2025

One such requirement is the United States International Traffic in Arms Regulations (ITAR) , which restricts and controls the export of defense and military-related technologies in order to safeguard US national security. However, Trusted Secure Enclaves allows national organizations to use the cloud to support ITAR data.

Data 59

Data Export End to End Management 59