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    MDACA Data Flow with Keycloak

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    MDACA Data Flow (DF) provides a powerful enterprise-grade platform to collect, route, enrich, transform, and process data in a reliable and scalable manner. It automates the movement of data between disparate data sources and systems, making data ingestion fast, easy and secure. It provides real time and batch data ingestion and transfer between different sources and destination. DF provides real-time control to easily manage the movement of data between any source and any destination. The web-based user interface provides a seamless experience between design, control, feedback, and monitoring. It is extendable to support disparate and distributed data sources of differing formats, schemas, protocols, speeds and sizes such as machines, geolocation devices, click streams, files, social feeds, log files, videos and more. It supports the automation and movement of data, making data ingestion fast, easy and secure with nearly 300 out-of-the-box processors.
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    MDACA Data Flow with Keycloak

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    Overview

    MDACA DF is based on the industry leading Apache NiFi with enhanced features and security configurations. DF has been upgraded to support enterprises with advanced DoD-grade security features, additional connectors, functions, and performance optimizations. Our DF AWS AMI includes Keycloak as part of the baseline configuration, supporting advanced enterprise security and master data management needs; this supports enterprise single-sign-on and user federation, strong authentication, user management, fine-grained authorization, and more.

    Government and commercial entities challenged with requirements to obtain data from multiple sources like legacy systems, databases, ERP, CRM, files, HTTP links, IoT data, etc. into an enterprise data repositories can leverage MDACA Data Flow to maximize the value of their data. MDACA DF is designed for ingesting data from various sources by providing industry leading, easy to use, well-rounded, scalable, fault tolerant solutions to handle entire data flow logistics of an enterprise. MDACA Data flow provides a single platform, supporting 300 different sources and having the ability for batch ingestion and streaming ingestion into the platform. MDACA DF supports rapid development, providing the tools to developers and business analysts in support of a reliable, flexible, scalable data delivery solution designed to handle large data sets. DF is the tool for handling the data flow management for an enterprise supporting multiple sources and targets.

    MDACA Data Flow accelerates data availability of the enterprise data and acts as a catalyst for Big Data project execution and business value extraction. It supports master data management, Analytics, Insights, AI/ML, and legacy data migration initiatives while reducing cost. It integrates with, as well as complements, various Big Data projects and is operationally optimized for AWS with easy integration with AWS core service offerings such as Redshift, Aurora, RDS, Lake Formation, Glue, S3, Quick Sights, EMR, and SageMaker. Additionally, easily integrate with MDACA enterprise tools through single sign-on (sso) with MDACA products such as Big Data Virtualization (BDV) and Data Lake - all designed to provide advanced enterprise capabilities for big data solutions. MDACA is powered by SpinSys, an AWS Advanced Tier partner offering Professional Services support through the AWS Marketplace.

    MDACA Data Flow is a comprehensive platform designed for:

    • Data acquisition, transportation, and guaranteed data delivery
    • Data-based event processing with buffering and prioritized queuing
    • Accommodating highly complex and diverse data flows
    • Providing a user-friendly visual interface for development, configuration, and control

    Key features/benefits of MDACA Data Flow include:

    • User Friendly UI - Easy to use Web UI, providing the tools to design, control, and monitor flow execution.
    • Real-time Data flow - Real-time control to help manage the transfer of data between various sources and destinations.
    • Scalable - Easily Scale out clusters in order to ensure data delivery.
    • Highly Configurable - Easily configure directed graphs of data routing, transformation, and system mediation logic.
    • Extendability - Extendable framework facilitating the building of custom processors supporting agile and rapid development and effective testing
    • Automation - Automate the flow of data within a convenient drag and drop, configurable user
    • Master Data Management - Enforce data provenance, data quality, data cleansing and additional rules where data governance, history and accuracy is of the utmost importance.
    • Security - Advanced integration with enterprise user management with support for SSL, SSH, HTTPS, encrypted content with advance authorization and policy management

    Highlights

    • Optimized for deployment on AWS (both Commercial and GovCloud) with advanced security integration using Keycloak
    • Automates the movement of data between disparate data sources and systems, making data ingestion fast, easy and secure to maximize the value of your data
    • Provides real-time control, making it easier to manage the movement of data between any source and any destination

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t3.large) in the US East (N. Virginia) Region. View pricing details

    $2.823/hour

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    MDACA Data Flow with Keycloak

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (3)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t3.medium
    $1.37
    $0.042
    $1.412
    t3.large
    Recommended
    $2.74
    $0.083
    $2.823
    t3.xlarge
    $4.11
    $0.166
    $4.276

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    no refunds

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Additional details

    Usage instructions

    Please view the MDACA Data Flow Launch Guide: https://mdaca.io/support/documentation/data-flow/launch-guide/ 

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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