Noel   Yuhanna

Noel Yuhanna

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

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: Best Practices: Cloud Database Migrations

    Leverage Tools To Minimize Risks And Accelerate Migrations

    March 22, 2019Noel Yuhanna

    Cloud databases have exploded on the scene as organizations look at faster and more scalable deployments and lower their costs. However, cloud database migrations are not simple lift-and-shift; they require careful planning, technical skills, and tools to succeed, especially when dealing with large and complex deployments. This report provides best practices to help enterprise architecture (EA) professionals manage a successful and less disruptive cloud database migration process.

  • For Enterprise Architecture Professionals

    REPORT: The Forrester Wave™: Big Data NoSQL, Q1 2019

    The 15 Providers That Matter Most And How They Stack Up

    March 14, 2019Noel Yuhanna

    NoSQL has become critical for all businesses to support modern business applications. In our 26-criterion evaluation of NoSQL providers, we identified the 15 most significant ones — Aerospike, Amazon Web Services (AWS), ArangoDB, Couchbase, DataStax, Google, IBM, MarkLogic, Microsoft, MongoDB, Neo4j, Oracle, RavenDB, Redis Labs, and SAP — 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: Future-Proof Your Data Management Architecture

    Seven Strategies To Consider In Keeping Your Architectures Current

    March 13, 2019Noel Yuhanna

    Changing business requirements and new technologies drive constant change in data management architectures. Without an effective data management strategy, organizations won't meet the growing business demand to deliver trusted and secure data for business applications and insights. This report shows enterprise architecture (EA) pros how to invest in future-proofing their data management architectures to respond more quickly to customer needs and competitive threats and to enable the delivery of innovative products and services.

  • For Enterprise Architecture Professionals

    REPORT: The Forrester Wave™: Cloud Hadoop/Spark Platforms, Q1 2019

    The 11 Providers That Matter Most And How They Stack Up

    February 13, 2019Noel Yuhanna, Mike Gualtieri

    Cloud Hadoop/Spark (HARK) platforms accelerate insights by automating the storage, processing, and accessing of big data. In our 25-criterion evaluation of HARK providers, we identified the 11 most significant ones — Amazon Web Services (AWS), Cloudera, Google, Hortonworks, Huawei, MapR, Microsoft, Oracle, Qubole, Rackspace, and SAP — 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. Note: Cloudera and Hortonworks completed their planned merger on January 3, 2019, and will continue as Cloudera. This Forrester Wave reflects our evaluation of each company's independent HARK platforms prior to the completion of the merger.

  • For Enterprise Architecture Professionals

    REPORT: Create A Road Map For A Real-Time, Agile, Self-Service Data Platform

    Road Map: The Data Management Playbook

    November 20, 2018 Michele Goetz, Noel Yuhanna

    Data bottlenecks create business bottlenecks. The days of provisioning data simply to meet the requirements of systems of record are over. Business stakeholders at the executive and line-of-business levels need data faster to keep up with customers, competitors, and partners. Information from the past won't support the insights of the future — businesses need real-time data. This report shows enterprise architects how they can use data to transform their organization and keep pace with the speed of business. This is an update to a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.

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