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Enterprise Scale Data Pipeline Orchestration with Automated Data Governance 

Now that we have assisted you with the ingestion of your data, let us help you validate, transform, capture and augment your data and its governance with BDM Control. 
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A new approach to your data 

BDM Control allows you to move beyond the ingestion of your data into your cloud environment, and enables you automate and simplify your pipeline creation and management.

Our product provides you with Discrete Data Management functionality allowing you control your information at a granular level,  while being secure in the knowledge that your data has been fully validated for Data Governance. 
 

BDM Control provides you with Enterprise Scale Data Pipeline Orchestration capability, allowing you guarantee the requisite agility, scale and resilience you require to meet your data management needs.

Product Overview

BDM Control’s automation of data governance ensures all data pipeline operations are captured and stored in your data catalogue, augmenting the data as required, guaranteeing that the view of your data in its catalogue is always consistent with the data that is currently in your data lake.

Fully integrated with Control-M from BMC, we provide a dashboard of all data pipeline activity, along with an easy to use drag and drop interface for pipeline workflow creation

BDM Control provides automated functionality to validate the completeness and integrity of your data as it moves into and within your data lake. The integrity validation functionality is customizable and extensible to ensure all data types and formats can be validated.

Enhanced Data Transformation

BDM Control provides over 250+ functions for data transformations, incorporating both Python and SQL programming disciplines, ensuring all technical disciplines are catered for.

Highly secure and easy to use Tokenization functionality ensures your data is always protected to the highest levels.

Easy to create templating, combined with smart scheduling options, enables Self Service data for data consumers - both business and technical users.

What makes our platform special

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How BDM Control Works

Platform-agnostic software works with all environments

BDM's architecture is designed to be compatible and interoperable with all major enterprise data management, data governance and ETL tools. No matter what toolset you are using, BDM Control will allow you integrate all of your tools to give you one centralized view of your data from which you can implement your data strategy. 

Simplify vendor management 

Our platform doesn’t just free your enterprise from the frustrations of incompatibility —it allows you to integrate your current and future investments so that you can create the data platform that works for your business.

Connected Solutions, Managed in One Place

This platform can easily adapt to your requirements with elastic scalability to meet the peak demands of ever-increasing data, users, and complexity of use cases.

Risk reduction

With businesses investing more in centralised governance control, you can integrate enterprise data protection into the data pipeline process to help reduce risks specific to data quality across the organisation.

Security and compliance

By being able to protect and anonymize data, not only can your enterprise ensure it is always compliant with ever-changing regulations, but you can also take advantage of advanced analytics, machine learning, and AI with confidence.

Supports all major cloud environments

BDM Control provides the ability to deploy and manage Spark on Kubernetes on your cloud of choice (AWS, Azure, GCP) with native Kubernetes as a Service offering.

Bluemetrix will integrate with all major on-cloud data storage and data management tools, simplifying the integration of your data on the cloud.

At all times, your data will remain in your cloud environment and will only be accessible to your data engineering team, guaranteeing the security and provenance of your data.

Cloud Deployment

Frequently Asked Questions

Select from the following list of Product and Technical FAQs. Browse through these FAQs to find answers to commonly raised questions about creating Pipelines, configuring Sources and Destinations, and working with Models. 

FAQ
  • How do I learn more about BDM Ingest?
    Reach out here to learn more with BDM Ingest for free and automate data pipeline management with a visual low code builder. Alternatively, you can request a personalized demo from our team.
  • What data sources does BDM Ingest offer connectors for?
    Bluemetrix offers a full suite of Connection Profiles for major data sources - Mainframes, Data Warehouse, Files, Streaming Data - and destinations that includes, Databases: JDBC, etc. Files: JSON, CSV, AVRO, EBCDIC, Text, Parquet, ORC, etc Streams: Kafka & Spark Structured Streaming We also add new connectors based on customer requests. The more requests we get for a source, the higher we prioritize building the new connectors.
  • How does BDM Ingest automate the ingestion of data?
    Bluemetrix has been working with Hadoop and other Data Lake technologies since 2009, and in that time we have built over 400 enterprise Data Lakes. Using this experience we have developed our own proprietary technology to create an intelligent ingestion engine that simplifies the ingestion of data at scale. The functionality includes: Templates: The ability to build and use templates to ingest complex data sources Variables: The ability to use variables in templates to ingest complex data sources Large Scale Ingest: We have custom solutions to work with most data sources Orchestration: We support multiple scheduler tools to automate the execution of the ingestion Pipelines: BDM Ingest automates the creation and the management of your pipelines
  • How does Bluemetrix handle changes in the source, such as schema or API changes?"
    Our pipelines are configured to handle new fields or tables added to your source automatically, so you don’t need to make manual adjustments in the UI. As the schema of your data changes at source, we implement these changes at the destination plus we inform all pipeline owners that consume the source of the changes as they happen, so that they can change their pipelines if necessary. We constantly monitor and stay ahead of API changes or deprecations so you don’t need to think about it.
  • Do I have to do anything if an API endpoint is changed?
    No, the Bluemetrix team will update the connector. BDM Ingest is fully managed, including managing your destination schema in addition to staying ahead of API changes for all connectors.
  • How do I learn more about BDM Ingest?
    Reach out here to learn more with BDM Ingest for free and automate data pipeline management with a visual low code builder. Alternatively, you can request a personalized demo from our team.
  • What data sources does BDM Ingest offer connectors for?
    Bluemetrix offers a full suite of Connection Profiles for major data sources - Mainframes, Data Warehouse, Files, Streaming Data - and destinations that includes, Databases: JDBC, etc. Files: JSON, CSV, AVRO, EBCDIC, Text, Parquet, ORC, etc Streams: Kafka & Spark Structured Streaming We also add new connectors based on customer requests. The more requests we get for a source, the higher we prioritize building the new connectors.
  • How does BDM Ingest automate the ingestion of data?
    Bluemetrix has been working with Hadoop and other Data Lake technologies since 2009, and in that time we have built over 400 enterprise Data Lakes. Using this experience we have developed our own proprietary technology to create an intelligent ingestion engine that simplifies the ingestion of data at scale. The functionality includes: Templates: The ability to build and use templates to ingest complex data sources Variables: The ability to use variables in templates to ingest complex data sources Large Scale Ingest: We have custom solutions to work with most data sources Orchestration: We support multiple scheduler tools to automate the execution of the ingestion Pipelines: BDM Ingest automates the creation and the management of your pipelines
  • How does Bluemetrix handle changes in the source, such as schema or API changes?"
    Our pipelines are configured to handle new fields or tables added to your source automatically, so you don’t need to make manual adjustments in the UI. As the schema of your data changes at source, we implement these changes at the destination plus we inform all pipeline owners that consume the source of the changes as they happen, so that they can change their pipelines if necessary. We constantly monitor and stay ahead of API changes or deprecations so you don’t need to think about it.
  • Do I have to do anything if an API endpoint is changed?
    No, the Bluemetrix team will update the connector. BDM Ingest is fully managed, including managing your destination schema in addition to staying ahead of API changes for all connectors.
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