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Noel   Yuhanna

Noel Yuhanna

VP, Principal Analyst Serving Enterprise Architecture Professionals

Noel covers big data, data warehouses, data fabric, data integration, data virtualization, Hadoop, Spark, in-memory, translytical, NoSQL, cloud, ETL, big data integration, data management, data tools, and data security for enterprise architecture professionals. His current focus is on new and emerging markets, modern data architectures, cloud and hybrid cloud deployments.

Previous Work Experience

Noel has more than 25 years of experience in IT and has held various technical and management positions. He came to Forrester through its acquisition of Giga Information Group in 2003. Prior to joining Giga, Noel spent several years at Exodus Communications and led a group responsible for planning and implementing mission-critical enterprise applications including ERP, CRM, and other internal apps. Prior to Exodus, he served as a principal consultant, benchmark specialist, and data architect for Amdahl Corporation. He worked on several very large database applications and deployed high-availability and high-scalability solutions for Fortune 100 companies. He was responsible for running the world’s fastest TPC-B benchmark on Informix at Amdahl in 1994 and built the first commercial terabyte-sized database on Oracle in the early 1990s. He worked on nCube MPP Database in the early '90s and helped enterprises scale their mission-critical applications. At his first job at Eicher Goodearth Corporation in the mid-1980s, he started working with COBOL programs and later expanded his knowledge toward data modeling, programming, and administration using RDBMS technologies.

Noel has spoken at numerous industry conferences around the globe and is quoted frequently in industry publications such as CNET News, Computerworld, eWeek, InfoWorld, InformationWeek, Forbes, Search.com, The Wall Street Journal, and The New York Times. He has taught several technical and management workshops on big data, data management, data integration, building scalable apps, in-memory platforms, and data virtualization.

Education

Noel holds a bachelor's degree in business and a postgraduate degree in business administration. He is the author of an Oracle book published by Manning Publications in 1999.

Noel Yuhanna

VP, Principal Analyst Serving Enterprise Architecture Professionals

Noel covers big data, data warehouses, data fabric, data integration, data virtualization, Hadoop, Spark, in-memory, translytical, NoSQL, cloud, ETL, big data integration, data management, data tools, and data security for enterprise architecture professionals. His current focus is on new and emerging markets, modern data architectures, cloud and hybrid cloud deployments.

Previous Work Experience

Noel has more than 25 years of experience in IT and has held various technical and management positions. He came to Forrester through its acquisition of Giga Information Group in 2003. Prior to joining Giga, Noel spent several years at Exodus Communications and led a group responsible for planning and implementing mission-critical enterprise applications including ERP, CRM, and other internal apps. Prior to Exodus, he served as a principal consultant, benchmark specialist, and data architect for Amdahl Corporation. He worked on several very large database applications and deployed high-availability and high-scalability solutions for Fortune 100 companies. He was responsible for running the world’s fastest TPC-B benchmark on Informix at Amdahl in 1994 and built the first commercial terabyte-sized database on Oracle in the early 1990s. He worked on nCube MPP Database in the early '90s and helped enterprises scale their mission-critical applications. At his first job at Eicher Goodearth Corporation in the mid-1980s, he started working with COBOL programs and later expanded his knowledge toward data modeling, programming, and administration using RDBMS technologies.

Noel has spoken at numerous industry conferences around the globe and is quoted frequently in industry publications such as CNET News, Computerworld, eWeek, InfoWorld, InformationWeek, Forbes, Search.com, The Wall Street Journal, and The New York Times. He has taught several technical and management workshops on big data, data management, data integration, building scalable apps, in-memory platforms, and data virtualization.

Education

Noel holds a bachelor's degree in business and a postgraduate degree in business administration. He is the author of an Oracle book published by Manning Publications in 1999.

Noel Yuhanna's Research

Most RecentMost Popular
  • For Enterprise Architecture Professionals

    REPORT: Enterprise Data Fabric Enables DataOps

    Advanced Level: Data Practices For Insights-Driven Businesses

    December 23, 2020Noel Yuhanna

    Business users want faster and easier access to trusted data to make accurate business decisions, while technology organizations want to simplify data management. Forrester invented the tech category "data fabric" that addresses these goals and continues to evolve to support data democratization. Our updated data fabric architecture reflects new technology enhancements and highlights new business opportunities for applications, insights, and analytics. Enterprise architecture (EA) pros should use data fabric to democratize data across the enterprise for various use cases. This is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.

  • For Enterprise Architecture Professionals

    REPORT: Now Tech: Cloud Data Lake, Q4 2020

    Forrester's Overview Of 16 Cloud Data Lake Providers

    November 30, 2020Noel Yuhanna

    You can use cloud data lake solutions to quickly build data lakes, support new business use cases, and lower costs. But to realize these benefits, you'll first have to select from a diverse set of vendors that vary by size, functionality, geography, and vertical market focus. Enterprise architecture (EA) professionals should use this report to understand the value they can expect from a cloud data lake provider and select vendors based on size and functionality.

  • For Enterprise Architecture Professionals

    REPORT: The Forrester Wave™: Graph Data Platforms, Q4 2020

    The 12 Providers That Matter Most And How They Stack Up

    November 16, 2020Noel Yuhanna

    In our 27-criterion evaluation of graph data platform providers, we identified the 12 most significant ones — Alibaba, Amazon Web Services, ArangoDB, Cambridge Semantics, Dgraph Labs, Franz, Microsoft, Neo4j, Ontotext, Oracle, Stardog, and TigerGraph — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals select the right one for their needs.

  • For Enterprise Architecture Professionals

    REPORT: Now Tech: Master Data Management, Q4 2020

    Forrester's Overview Of 20 Master Data Management Providers

    October 21, 2020Noel Yuhanna

    You can use master data management (MDM) to support a 360-degree view of customers, improve data quality, and share data with partners and customers. But to realize these benefits, you'll first have to select from a diverse set of vendors that vary by size, functionality, geography, and vertical market focus. Enterprise architecture (EA) pros should use this report to understand the value they can expect from an MDM provider and select vendors based on size and functionality.

  • For Enterprise Architecture Professionals

    REPORT: Now Tech: Cloud Data Pipeline, Q4 2020

    Forrester's Overview Of 20 Cloud Data Pipeline Providers

    October 19, 2020Noel Yuhanna

    You can use cloud data pipeline (CDP) solutions to build a new generation of analytics and insights quickly, automate data ingestion and processing workflows, and leverage new data sources easily. But to realize these benefits, you'll first have to select from a diverse set of vendors that vary by size, functionality, geography, and vertical market focus. Enterprise architecture (EA) pros should use this report to understand the value they can expect from a CDP provider and select vendors based on size and functionality.

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