Hitachi Vantara Accelerates Data Automation

Hitachi Vantara has just introduced new Lumada DataOps capabilities to accelerate the automation of data management and operation and Artificial Intelligence for all enterprise customers and Lumada Industrial DataOps, which provides advanced analytics capabilities for industrial use cases.

Data deployment and governance have become more difficult as data is increasingly distributed across the data center, the edge, and public and hybrid cloud infrastructures. This complexity can hamper an organization’s ability to convert data into business value. In a recent DataOps survey conducted by 451 Research, data privacy, compliance, access, and preparation are the top priorities for organizations focused on data privacy and compliance.

Hitachi Vantara’s additions to the Lumada DataOps offering enable organizations to create a seamless data fabric governed by an advanced data catalog to improve data quality and governance in an automated manner. With the latest updates to Pentaho-based Data Integration, customers can reduce the time and complexity to discover, access, prepare, and blend data across multiple data sources and locations. In addition, the new Lumada Industrial DataOps offering includes IoT analytics models for industrial environments that seamlessly merge IT and OT data to accelerate the digital transformation of this sector.

Hitachi Vantara additions to Lumada DataOps offering enable organizations to create a seamless data fabric

“Unlike traditional data management solutions that lock customers into proprietary technologies, the Lumada DataOps and Lumada Industrial DataOps offerings complement and streamline any ecosystem to manage and govern data from anywhere,” said Radhika Krishnan. , Chief Product Officer of Hitachi Vantara. “No matter where our clients’ data resides, we help them discover, analyze, govern and monetize it through Lumada DataOps, in conjunction with data and analytics consulting services, helping clients drive their business with better data insights.”

Smart data operations

Lumada DataOps enables you to automate daily data collection, integration, governance, and analysis tasks on an intelligent platform that provides an open, composable framework for all types of enterprise data, while providing self-service access and analytics not only within Lumada DataOps but to any solution part of the ecosystem of our clients. The updates we are announcing today in Lumada DataOps include:

• Data Catalog – Accelerate business insights with Data Catalog v7.0 that brings all the data and trust built with IO-Tahoe technology to the solution, including a powerful new user interface, data quality and Collibra connectivity.

• Data Integration – Data integration across the hybrid cloud with Pentaho v9.3 thanks to even more flexible cloud deployment and new connectors for native data stores like Snowflake, MongoDB Atlas, Teradata, Elastic Search7.x, and IBM MQ 9.2.

IT and OT data convergence

Lumada’s new Industrial DataOps offering enables real-time insights and results that drive critical operations to be more predictable and easily operable. Accelerate IT and OT data convergence by building a data fabric for analytics solutions from edge to multi-cloud. The Lumada Industrial DataOps IIoT solution automates the ingest and transport of data across OT and IT sources, powering industrial AI and ML models for predictive maintenance and operations optimization. Capabilities of the new Lumada Industrial DataOps offering include:

• IIoT Core – Accelerate application deployment and operations scalability with a comprehensive IIoT data platform that includes Core, Gateway, Digital Twins, and Machine Learning Services.

• IIoT Analytics – Facilitates the creation of AI and ML solutions through toolsets that simplify delivery through Digital Twins packaged with pre-trained ML models.

Armed with accurate, reliable, and out-of-the-box data, organizations can leverage advanced operational analytics capabilities like Digital Twins and AI/ML models to predict and prescribe operational decision-making.