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The True State of S/4HANA in 2024

Today, it's reported that only 57% of SAP ECC customers will have migrated to S/4HANA by the end of 2027 when mainstream support ends. So, how can organization ensure that they're on track?

This article offers an in-depth look at the current S/4HANA migration scenario, covering:

  • Adoption rate forecasts for the next decade
  • Risks for early adopters and those on outdated ECC versions
  • The looming cessation of support for ECC, Oracle, and IBM DB2
  • The hurdles in securing resources for migration

Access this article to learn the importance of initiating S/4HANA transformation now, as well as key strategies for a swift, successful migration.

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    The cloud offers innovations for the future, but your mainframe will remain your reliable system of record. Take advantage of new cloud-based services and data analytics by synchronizing your mainframe data to the cloud, virtualize data from multiple platforms and seamlessly operate in a hybrid environment without compromising the uptime and performance of your source system. Learn how to: •Access data from Adabas, Db2®, flat files, IMS™, QSAM and VSAM™ in real time •Move mainframe data to the cloud and seamlessly adopt a hybrid environment •Keep your cloud data lake in sync with on premises applications •Create a single virtual database from multiple platforms •Leverage all of your data, no matter where it resides

  • Big data analytics: Data warehouse vs Hadoop

    The traditional data warehouse is often not as cost-effective as Hadoop when it comes to data storage for big data analytics. But Hadoop isn’t a good fit for every business intelligence project—for instance, real-time analytics.

    When looking at the big picture, Hadoop isn’t an effective replacement for your enterprise data warehouse. So how can you get the best of both worlds?

    This expert e-guide explores how Hadoop and the data warehouse can complement each other on business intelligence projects to help you gain strategic insights.   

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    In the last decade, the rise of the cloud data warehouse, led by platforms like Redshift, has helped to modernize data warehousing by providing scalability, convenience, and most importantly flexibility and openness to a very important class of data workloads. Once this data was available in the cloud, it became possible to utilize it for additional business purposes, including customer-facing real-time analytics, by integrating with real-time data warehouses like ClickHouse. In this talk, we will introduce the concept of a real-time data warehouse by describing where it sits in the data architecture, how it addresses the needs of real-time applications, and showing why it is evolving to be a key part of any modern data stack.

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  • How DB schemes could maximise their potential

    Defined benefit (DB) pension schemes in the UK are better funded than ever before, and the options for trustees and sponsors have widened. The benefits for members, corporates and the wider UK economy are significant.

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  • The key to first-to-last mile optimization

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