Orion Governance offers its revolutionary Enterprise Information Intelligence Graph (EIIG), a cutting-edge self-defined data fabric and the next generation of active metadata management and data governance platforms in the market. One of EIIG’s key differentiations is its unwavering commitment to comprehensive technology support.
By “support,” we mean an automated scanning process that effortlessly sifts through selected technology sources, intelligently assembling the extracted information into a knowledge graph, all without requiring human intervention. In our book, true support means full automation and nothing less.
The depth and breadth of EIIG’s technology coverage are unparalleled. Delving into the depths, EIIG offers an unmatched granularity, providing insights down to the minutiae of field-level details. It doesn’t stop there; EIIG offers lineage with multiple layers, encompassing all details, systems, applications, domains, organizations, lines of business, and entities. This unique capability empowers various user personas to effortlessly visualize the information they desire by simply clicking through layers in a drill-down menu.
In today’s corporate landscape, enterprises embrace a diverse array of complex technologies, spanning from legacy systems to modern solutions. With EIIG’s extensive support for over 70 technologies, enterprises can rest easy, knowing they can automatically establish connectivity both within and between systems, regardless of the technologies employed in their data environment. EIIG covers not only DBMS, ETL, and reporting tools but also more intricate and dynamic technologies like mainframes, AS/400, NoSQL, and programming languages such as Java and Python. Allow us to delve into specific examples that exemplify the breadth of EIIG’s technology support.
While numerous vendors may claim to support mainframes, merely parsing COBOL and JCL scripts or covering aspects of Db2 zOS falls far short of what’s truly needed. Comprehensive mainframe support entails coverage of PL1, JCL (including Db2 load/unload, FTP, and custom utilities), COBOL (encompassing definitions, copybooks, variable substructures, and other variations like Fujitsu and HP Non-stop COBOL), and support for Db2 and IMS.
Beyond this, users must consider the platform’s ability to handle derived fields, referential modifications, or trace transformation logic, and extract essential details. Moreover, understanding how mainframe data integrates with the broader data landscape is paramount for organizations aiming to integrate legacy data into modern cloud infrastructures or migrate workloads to the cloud. It’s the fine details that can determine success or failure when leveraging mainframe data, making EIIG’s comprehensive support of mainframe systems indispensable for data-driven organizations operating within a multi-cloud environment.
Modern enterprises often grapple with managing programming languages like Python. Python stands as one of the most popular and effective programming languages, boasting an array of libraries and frameworks. Given the large and growing number of Python frameworks, attempting to support all of them out of the box is not realistic. The optimal approach to comprehensive Python support necessitates a repeatable and foundational method for handling Python scripts while covering the most popular frameworks out of the box. This is precisely what EIIG offers.
With EIIG, there’s no need for additional code insertion for extraction; it enables enterprises to capture intermediate transformations comprehensively. EIIG automatically ingests metadata from many of the most popular Python frameworks, providing application development, data analytics, and data science teams with enhanced visibility into their Python code and improved code quality. EIIG also seamlessly builds cross-system integration between Python data assets and other technologies.
Other Examples of Supported Technologies:
- Teradata: Supporting Teradata is common, but certain situations require special capabilities. For instance, automatically scanning ETL jobs coded in Perl can pose a challenge for some enterprises. EIIG swiftly resolves this issue, ensuring seamless data lineage establishment for the Teradata environment and its connection with other systems.
- NoSQL Databases (e.g., MongoDB): The proliferation of NoSQL databases like MongoDB presents challenges due to unstructured data and recursive data schemas. EIIG has developed a solution to overcome these obstacles, streamlining metadata ingestion from NoSQL databases and making it as efficient as that from relational databases.
- IBM AS/400: With numerous companies still relying on IBM AS/400 and its rebranded Power Systems, EIIG’s support for RPG is invaluable, since, for decades, many applications have been developed in this language. This support provides enterprises with more accurate and complete data, enabling better business decision-making and unified views of data systems. In retail environments, this data transparency enhances lineage continuity and mitigates potential disruptions to critical systems like order processing, scheduling, and inventory management. EIIG offers a unified data governance solution which is a foundation for retailers’ unified commerce initiative.
- Data Lakehouse: The Data Lakehouse has gained popularity as an enterprise infrastructure platform bridging data warehouses and data lakes. It involves various technologies such as Hive, SQL warehouses, ETL tools, and BI tools. For effective data governance, compliance, and analytics, gaining a detailed view of data traversing the Data Lakehouse pipeline is essential. EIIG’s full support for technologies in a Lakehouse platform, including Sqoop, empowers customers to capture transformations dynamically, facilitating the creation of a comprehensive data catalog and granular data lineage within the entire Lakehouse environment.
These examples vividly illustrate the extraordinary power of EIIG’s comprehensive technology support. With EIIG, enterprises can effortlessly map their entire portfolio of enterprise information assets, regardless of their data environment’s complexity, and quickly unlock the full potential of their data.
To learn more about how EIIG can transform your data governance and management, please click here to schedule a demo session.
About the Author: Niu Bai, Ph.D. is the Head of Global Business Development at Orion Governance, Inc. Connect with Niu on LinkedIn.