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SAP

enterprise_software erp business_intelligence

253

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22 peak/qtr
2020-Q1 2026-Q1

Activities

253 activities · Newest first

Modernizing SAP Business Warehouse: A Strategic Guidance to Migrating to SAP Business Data Cloud (SAP Datasphere and SAP Analytics Cloud)

The book simplifies the complexities of cloud transition and offers a clear, actionable roadmap for organizations moving from SAP BW or BW/4HANA to SAP Datasphere and SAP Analytics Cloud (as part of SAP Business Data Cloud), particularly in alignment with S/4HANA transformation. Whether you are assessing your current landscape, building a business case with ROI analysis, or creating a phased implementation strategy, this book delivers both technical and strategic guidance. It highlights short- and long-term planning considerations, outlines migration governance, and provides best practices for managing projects across hybrid SAP environments. From identifying platform gaps to facilitating stakeholder discussions, this book is an essential resource for anyone involved in the analytics modernization journey. You Will: [if !supportLists] · [endif] Learn how to assess your current SAP BW or BW/4HANA landscape and identify key migration drivers [if !supportLists] · [endif] Understand best practices for leveraging out-of-the-box cloud features and AI/ML capabilities [if !supportLists] · [endif] A step-by-step approach to planning and executing the move to SAP Business Data Cloud (Mainly SAP Datasphere and SAP Analytics Cloud) This book is for: SAP BW/BW4HANA Customers, SAP Consultants, Solution Architects and Enterprise Architects

SAP ABAP 7.5 Optimization for HANA: AMDP, CDS and Native SQL for Peak Performance

In the evolving landscape of SAP development, performance is no longer just a nice-to-have—it's a necessity. With the power of SAP HANA and the enhancements introduced in ABAP 7.5, developers are now equipped to rethink how applications are built, executed, and optimized. This book is your guide to that transformation. We begin by understanding the core shift: moving data-intensive operations directly into the HANA database. When implemented correctly, this "code pushdown" philosophy dramatically reduces data transfer and processing overhead. AMDP (ABAP Managed Database Procedures), our in-database processing engine, enables us to write complex logic directly in SQLScript, harnessing HANA’s parallel processing capabilities. We focus on crafting efficient AMDP procedures by adopting set-based operations and minimizing unnecessary data movement. Next, we explore Core Data Services (CDS) Views, our go-to data modeling tool. CDS Views are not just simple database views; they act as semantic layers that define how our applications interact with data. We learn to create optimized CDS Views by leveraging associations, annotations, and table functions, enabling us to build reusable, high-performance data models. These views simplify complex queries, improve data consistency, and enhance application flexibility. We then turn to Native SQL, our direct line to the HANA database. While AMDP and CDS Views provide powerful abstractions, Native SQL offers ultimate control for specialized tasks. We embed Native SQL within AMDP procedures to access database-specific features and fine-tune performance for critical operations. Along the way, we apply best practices for writing efficient queries, with a strong focus on indexing, join strategies, and precise data filtering. Throughout this journey, we emphasize the importance of rigorous testing and proactive monitoring. Just like a race car undergoes extensive testing before hitting the track, our ABAP applications require careful validation to ensure accuracy and optimal performance. We explore techniques for unit testing AMDP procedures, validating CDS Views, and monitoring query performance. We also look at strategies for detecting and addressing potential bottlenecks before they affect end users. SAP ABAP 7.5 Optimization for HANA is not just about writing faster code—it’s about fundamentally rethinking how we develop applications. By embracing code pushdown, leveraging AMDP, CDS Views, and Native SQL, and implementing robust testing and monitoring strategies, we build ABAP applications that are not only faster, but also more scalable, maintainable, and adaptable to the ever-evolving demands of modern business. You Will: Learn how to implement the "code pushdown" philosophy, moving data-intensive operations directly into the HANA database to reduce data transfer and processing overhead Understand to create optimized CDS Views, leveraging associations, annotations, and table functions to build reusable, high-performance data models that simplify complex queries and improve data consistency. Explore how to write complex logic directly in SQLScript using AMDP, harnessing HANA's parallel processing capabilities, and using Native SQL for specialized tasks, accessing database-specific features to optimize performance. This Book is For: ABAP Developers, SAP Consultants and Architects and IT Managers and Technical Leads

AWS re:Invent 2025 - Fast-track to insights: AWS-SAP data strategy (ANT333)

This lightning talk showcases AWS and SAP's innovative solution for enterprise data integration challenges. Learn how to access data between SAP and AWS environments, eliminating complex ETL pipelines while maintaining business context. In this talk, we will demonstrate how to enable zero-ETL integration between SAP and Amazon SageMaker so that you can reduce time spent building data pipelines and focus on running unified analytics and AI/ML on all your data.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Migration lessons from Microsoft Federal's RISE with SAP deployment

Learn how the Microsoft Federal team is modernizing SAP ERP with RISE on Microsoft Cloud. This includes High SLA infrastructure on Azure Government, SAP BTP integration, and AI-powered monitoring. Discover how Defender and Sentinel secure workloads, and how sovereignty solutions support compliance. Gain practical lessons and insights from a real-world deployment for regulated industries.

Partner Opportunities: Modernize Oracle, SAP & VMware on Azure

For years, businesses have relied on Microsoft to power critical systems and applications like VMware, SAP, and Oracle. With Azure, organizations can now modernize these systems more efficiently and securely, enabling innovation at their own pace. Explore partner strategies for transforming workloads and see how leveraging Microsoft’s tools and investments can accelerate success and uncover new opportunities.

Drive faster insights with Microsoft and SAP AI and data innovations

Microsoft and SAP are helping customers unlock enterprise data with AI. In this session, see how joint innovations in data and AI are transforming operations—from frontline workflows to strategic decisions. Discover how to unify SAP and non-SAP data for analytics and automation, and how SAP Business AI and Microsoft Copilot simplify tasks, surface insights, and accelerate outcomes.

Get HR and IT tasks done faster with the Employee Self-Service Agent

Discover how the Employee Self-Service Agent is redefining the future of employee support with a single front door agent for HR and IT tasks. This session includes a product deep dive and live demo for a look into how the agent simplifies employee support, automates workflows, and integrates with systems like ServiceNow, Workday, and SAP SuccessFactors, including seamless agent-to-agent handoffs — reducing ticket volume, boosting employee satisfaction, and streamlining service delivery.

Delivered in a silent stage breakout.

Unlock new business value with SAP and Microsoft with connected AI

SAP delivers powerful Business AI by streamlining processes, automating workflows, and empowering your workforce with generative AI contextualized with core business data. Experience how you can deploy seamless integrations between SAP’s AI assistant, Joule, and Microsoft Copilot, delivering real-time insights and showing how SAP and Microsoft can transform your organization and make AI central to how you operate and innovate.

“On Air at Microsoft Ignite” will dive into key announcements with expert interviews, demos, and real-world applications for all the latest news. ​​

Hour 3 will feature:​ Microsoft 365 Copilot and agent updates: Jeremy Chapman​ Team Viewer: Sebastian Schrötel​ Responsible AI & Centru AI: Ana Welch​ Capgemini: Arnaud Balssa​ Cognizant: Manpreet Singh​ SAP: Dr. Walter Sun​ NTT DATA: Charlie Doubek, Geoff Newman​ Nasdaq: Secure Innovation with PostgreSQL on Azure: Charles Feddersen, Mohsin Shafqat

Time Series Forecasting Using Foundation Models

Make accurate time series predictions with powerful pretrained foundation models! You don’t need to spend weeks—or even months—coding and training your own models for time series forecasting. Time Series Forecasting Using Foundation Models shows you how to make accurate predictions using flexible pretrained models. In Time Series Forecasting Using Foundation Models you will discover: The inner workings of large time models Zero-shot forecasting on custom datasets Fine-tuning foundation forecasting models Evaluating large time models Time Series Forecasting Using Foundation Models teaches you how to do efficient forecasting using powerful time series models that have already been pretrained on billions of data points. You’ll appreciate the hands-on examples that show you what you can accomplish with these amazing models. Along the way, you’ll learn how time series foundation models work, how to fine-tune them, and how to use them with your own data. About the Technology Time-series forecasting is the art of analyzing historical, time-stamped data to predict future outcomes. Foundational time series models like TimeGPT and Chronos, pre-trained on billions of data points, can now effectively augment or replace painstakingly-built custom time-series models. About the Book Time Series Forecasting Using Foundation Models explores the architecture of large time models and shows you how to use them to generate fast, accurate predictions. You’ll learn to fine-tune time models on your own data, execute zero-shot probabilistic forecasting, point forecasting, and more. You’ll even find out how to reprogram an LLM into a time series forecaster—all following examples that will run on an ordinary laptop. What's Inside How large time models work Zero-shot forecasting on custom datasets Fine-tuning and evaluating foundation models About the Reader For data scientists and machine learning engineers familiar with the basics of time series forecasting theory. Examples in Python. About the Author Marco Peixeiro builds cutting-edge open-source forecasting Python libraries at Nixtla. He is the author of Time Series Forecasting in Python. Quotes Clear and hands-on, featuring both theory and easy-to-follow examples. - Eryk Lewinson, Author of Python for Finance Cookbook Bridges the gap between classical forecasting methods and the new developments in the foundational models. A fantastic resource. - Juan Orduz, PyMC Labs A foundational guide to forecasting’s next chapter. - Tyler Blume, daybreak An immensely practical introduction to forecasting using foundation models. - Stephan Kolassa, SAP Switzerland

How Levi’s is transforming their IT estate with Azure

Join us to hear how Levi’s transformed its global IT estate—including Windows Server, SQL Server, SAP, Oracle, and more—through a comprehensive migration and modernization strategy. Learn how they combined data and app modernization with infrastructure re-platforming to unlock agility, scalability, and cost savings. This real-world story will highlight the strategy, lessons learned, and tangible business outcomes that came from taking an end-to-end approach to migration and modernization.

“On Air at Microsoft Ignite” will deep dive into key announcements with expert interviews, demonstrations, and real-world applications for all the latest news. ​

Hour 2 will feature:​ Becoming Frontier across industries: Kathleen Mitford and Satish Thomas​ C3 AI: Adi Bhashyam​ Cognizant: Shveta Arora​ SAP: Dr. Walter Sun​ Cisco: Tom Richards​ PwC: Dan Priest & Jim Randall

Connect everything, achieve anything, and transform your enterprise

Learn how SAP and Microsoft Cloud can accelerate your Cloud-ERP transformation. Experience how Business Data Cloud (BDC) and SAP Business Technology Platform (BTP) can unlock leading Business AI capabilities by delivering a trusted end-to-end foundation built for innovation. This session will be brought to life with demos, use cases, and tools that help you connect everything so you can achieve anything.

This new technology area encompasses a wide array of mission-critical workloads and modernization efforts, including SAP, Oracle Database@Azure, Azure VMware Solution (AVS), Nutanix on Azure, and mainframe modernization strategies. MVPs in this area are expected to demonstrate deep expertise in at least one of these technologies, with a strong grasp of architecture, deployment, and operational nuances on Azure.

Connection Pods accommodate up to 15 people. Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Modernize ERP through RISE with SAP and the Microsoft Cloud

Discover how Microsoft Cloud empowers SAP customers to modernize their business with SAP Business Suite through the RISE with SAP journey. Explore infrastructure innovations like High SLA for RISE, AI-driven monitoring, and performance optimization. See how organizations deploy RISE with SAP on Azure, integrate SAP BTP and BDC, secure workloads with Defender and Sentinel, while meeting sovereignty and compliance needs.

Unleashing SAP Databricks on Azure: Modernize, analyze, and innovate

SAP Databricks on Azure integrates Databricks Data Intelligence Platform with SAP Business Data Cloud, unifying SAP and external data for advanced analytics, AI, and ML. It enables building intelligent apps and actionable insights using trusted SAP and third-party business data. Available natively on Azure within SAP Business Data Cloud, it offers seamless access without data duplication via Delta Sharing. This session highlights automated forecasting, exploratory analysis, and BI use cases.