Software Alternatives & Reviews

Machine Learning Best Practices for Public Sector Organizations

Amazon SageMaker AWS Deep Learning AMIs Amazon Kinesis Video Streams Amazon Kinesis Firehose AWS Greengrass AWS Glue Amazon EMR Amazon Elastic File System AWS Database Migration Service
  1. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
    Amazon SageMaker is a comprehensive service that provides purpose-built tools for every step of ML development and implementation.

    #Data Science And Machine Learning #Data Science Tools #Machine Learning 36 social mentions

  2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
    AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances.

    #Development #Diagnostics Software #Domains 3 social mentions

  3. Securely stream video from edge devices to AWS in order to capture, process, and store data for analysis and integration with machine learning models.
    Ingestion of streaming videos can be done using Amazon Kinesis Video Streams.

    #Video #Video Converter #Application And Data 5 social mentions

  4. Amazon Kinesis Firehose can capture, transform, and load streaming data into AWS.
    Amazon Kinesis Data Firehose is a service that can be used to deliver real-time streaming data to a chosen destination.

    #Data Dashboard #Data Management #Data Warehousing 6 social mentions

  5. Local compute, messaging, data caching, and synch capabilities for connected devices
    In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices.

    #Data Dashboard #IoT Platform #Analytics 5 social mentions

  6. Fully managed extract, transform, and load (ETL) service
    AWS Glue is a fully managed ETL service that makes it simple and cost-effective to categorize, clean, enrich, and migrate data from a source system to a data store for ML.

    #Data Integration #ETL #Data Workflow 13 social mentions

  7. Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
    Amazon EMR: Many organizations use Spark for data processing and other purposes such as for a data warehouse. Amazon EMR, a managed service for Hadoop-ecosystem clusters, can be used to process data.

    #Big Data #Big Data Tools #Big Data Infrastructure 10 social mentions

  8. Amazon Elastic File System is a cloud-native and serverless data store that provides simple saleable elastic shared file storage for Linux-based business applications.
    AWS DataSync is a data transfer service that simplifies, automates, and accelerates moving and replicating data between on-premises storage and AWS storage services such as Amazon Elastic File System (EFS) and Amazon S3.

    #File Management #Work Collaboration #Project Management 22 social mentions

  9. AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.
    With AWS Database Migration Services (AWS DMS), you can replicate and ingest existing databases while the source databases remain fully operational.

    #Data Integration #ETL #Integrations Platform As A Service 30 social mentions

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