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Journey to Intelligent Data Applications: Modernize with SAP HANA Cloud

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Manage episode 434152682 series 2304478
Content provided by Let’s Talk Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Let’s Talk Data or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Join Matthew Zenus, Global Vice President – SAP HANA & Persistency, Product Management and Strategy, and Daniel Dukes, Senior Product Marketing Director, as they reminisce on SAP HANA and the bright future of SAP HANA Cloud. Enjoy a time of personal stories, candid advice, and forward thinking from these two veterans. For anyone considering SAP HANA Cloud or even a current customer, this conversation is a must hear as SAP HANA Cloud is enabling industry leading advancements that are shaping the future of applications.

Listeners of all application develop roles and expertise levels are encouraged to tune-in.

Connect with our speakers:
Daniel Dukes – https://www.linkedin.com/in/danieldukes/

Matthew Zenus – https://www.linkedin.com/in/matthew-zenus-3594a81/

Don’t stop here – discover more:

SAP HANA Cloud - https://www.sap.com/canada/products/technology-platform/hana.html

SAP HANA Cloud Basic Trial – https://www.sap.com/canada-fr/products/technology-platform/hana/trial.html

SAP HANA Cloud Community – https://pages.community.sap.com/topics/hana/cloud

Key Topics:

  • Early Adoption and Innovation: The podcast highlights the early days of SAP HANA, emphasizing the groundbreaking in-memory architecture and its significant impact on query acceleration. A notable example is a utility company in Amsterdam that leveraged HANA to enhance geospatial queries, leading to the development of a high-performing, in-memory geospatial engine.

  • Multi-Model Engine Journey: The integration of geospatial capabilities marked the beginning of SAP HANA's multi-model engine journey. This journey has evolved to include various engines like graph, JSON, document store, and vector engines, positioning multi-model functionality as a key differentiator for SAP HANA and HANA Cloud in the market.

  • Current Market Challenges: The podcast discusses the prevalent challenges customers face today, including complexity due to heterogeneous environments, data fragmentation, the explosion of diverse data sources, and the increasing importance of financial governance and price-performance optimization in cloud environments.

  • Four Pillars of HANA Cloud Development: The development strategy for HANA Cloud focuses on four key pillars: simplicity, financial governance and price performance, deployment flexibility, and automation and intelligence. These pillars are designed to make HANA Cloud easier to adopt, administer, and scale while optimizing cost and performance.

  • Generative AI Integration: The podcast highlights the integration of generative AI in SAP HANA Cloud, specifically through the native vector engine. This engine supports advanced AI use cases like similarity searches, semantic searches, and retrieval-augmented generation (RAG), which enhances large language model queries with relevant, organization-specific data.

  • Upcoming Innovations: SAP HANA Cloud has an aggressive roadmap for the remainder of 2024 and 2025, including larger instance sizes, enhanced cost monitoring features, elastic compute nodes, multi-tenancy, SQL on files, and the introduction of a knowledge graph. These innovations are aimed at improving scalability, performance, and cost efficiency.

  • Transition from On-Premise to Cloud: The podcast emphasizes the simplicity of migrating from on-premise HANA to HANA Cloud. SAP provides various tools and resources to assist customers in this transition, making it a natural and straightforward process to modernize and take advantage of HANA Cloud's innovations.

  continue reading

101 episodes

Artwork
iconShare
 
Manage episode 434152682 series 2304478
Content provided by Let’s Talk Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Let’s Talk Data or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Join Matthew Zenus, Global Vice President – SAP HANA & Persistency, Product Management and Strategy, and Daniel Dukes, Senior Product Marketing Director, as they reminisce on SAP HANA and the bright future of SAP HANA Cloud. Enjoy a time of personal stories, candid advice, and forward thinking from these two veterans. For anyone considering SAP HANA Cloud or even a current customer, this conversation is a must hear as SAP HANA Cloud is enabling industry leading advancements that are shaping the future of applications.

Listeners of all application develop roles and expertise levels are encouraged to tune-in.

Connect with our speakers:
Daniel Dukes – https://www.linkedin.com/in/danieldukes/

Matthew Zenus – https://www.linkedin.com/in/matthew-zenus-3594a81/

Don’t stop here – discover more:

SAP HANA Cloud - https://www.sap.com/canada/products/technology-platform/hana.html

SAP HANA Cloud Basic Trial – https://www.sap.com/canada-fr/products/technology-platform/hana/trial.html

SAP HANA Cloud Community – https://pages.community.sap.com/topics/hana/cloud

Key Topics:

  • Early Adoption and Innovation: The podcast highlights the early days of SAP HANA, emphasizing the groundbreaking in-memory architecture and its significant impact on query acceleration. A notable example is a utility company in Amsterdam that leveraged HANA to enhance geospatial queries, leading to the development of a high-performing, in-memory geospatial engine.

  • Multi-Model Engine Journey: The integration of geospatial capabilities marked the beginning of SAP HANA's multi-model engine journey. This journey has evolved to include various engines like graph, JSON, document store, and vector engines, positioning multi-model functionality as a key differentiator for SAP HANA and HANA Cloud in the market.

  • Current Market Challenges: The podcast discusses the prevalent challenges customers face today, including complexity due to heterogeneous environments, data fragmentation, the explosion of diverse data sources, and the increasing importance of financial governance and price-performance optimization in cloud environments.

  • Four Pillars of HANA Cloud Development: The development strategy for HANA Cloud focuses on four key pillars: simplicity, financial governance and price performance, deployment flexibility, and automation and intelligence. These pillars are designed to make HANA Cloud easier to adopt, administer, and scale while optimizing cost and performance.

  • Generative AI Integration: The podcast highlights the integration of generative AI in SAP HANA Cloud, specifically through the native vector engine. This engine supports advanced AI use cases like similarity searches, semantic searches, and retrieval-augmented generation (RAG), which enhances large language model queries with relevant, organization-specific data.

  • Upcoming Innovations: SAP HANA Cloud has an aggressive roadmap for the remainder of 2024 and 2025, including larger instance sizes, enhanced cost monitoring features, elastic compute nodes, multi-tenancy, SQL on files, and the introduction of a knowledge graph. These innovations are aimed at improving scalability, performance, and cost efficiency.

  • Transition from On-Premise to Cloud: The podcast emphasizes the simplicity of migrating from on-premise HANA to HANA Cloud. SAP provides various tools and resources to assist customers in this transition, making it a natural and straightforward process to modernize and take advantage of HANA Cloud's innovations.

  continue reading

101 episodes

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