Uncomplicating High Availability for SAP

58 results

  1. Advanced Data Mining: Clustering Lets You Find New Customers Hidden in Your Data

    After you master basic data mining methods such as ABC classification, you can try more advanced techniques such as clustering with Analysis Process Designer (APD). See how you can create a clustering model and view the reports that APD provides for clustering data. Key Concept Clustering is a statistical method applied to a set of...…

  2. Application-Aware Clustering: The Key to Protecting SAP, HANA, and S4/HANA in the Cloud

    Configuring high availability (HA) clustering to protect SAP, HANA, and S/4HANA can be a daunting task that involves nearly every part of the IT stack – networking, compute, storage, application, and operating system. Watch this on-demand webinar with Bobby Jagdev for an inside look at how application-aware clustering can simplify this complexity and ensure cluster…

  3. Keep Your SAP on Nutanix AHV Running with High-Availability Clustering

    Hyperconverged infrastructure (HCI), which brings together compute, storage and networking in one package, would appeal to an SAP customer looking to simplify infrastructure management and to scale up as it grows. One such HCI provider, Nutanix, brings together private cloud performance and control with the flexibility of public cloud to deliver SAP HANA and SAP…

  4. Exploit Predictive Analytics for a Pricing Strategy

    Shreekant Shiralkar and Rohit Kumar Das show how to apply SAP Predictive Analysis Library (PAL) functions in SAP HANA to retail store data to calculate an optimum price. Key Concept The Predictive Analysis Library (aka PAL) is a set of predictive algorithmic functions embedded in SAP HANA. Each of the algorithms is written in native...…

  5. An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools

    In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as...…

  6. Get the Maximum Out of a BRSPACE Online Reorganization

    BRSPACE online reorganizations provide possibilities for tasks such as reduction of fragmentation or adaptation of the tablespace design. For example, you can automatically improve data clustering by sorting table records or activating an index-organized table. Find out which scenarios can benefit from reorganization and then see how you can take BRSPACE to the next level....…

  7. An Introduction to SAP Predictive Analysis and How It Integrates with SAP HANA

    In this exclusive report, take a walk into the world of SAP Predictive Analysis and how it ties into SAP HANA and SAP Lumira (formerly known as SAP Visual Intelligence). Learn the importance of general predictive modeling concepts, and then apply those concepts as part of a bigger discussion about the architecture and features of...…

  8. Uncover Hidden Trends in Historical Data with Analysis Process Designer

    Go beyond data warehousing to data mining. You can use Analysis Process Designer (APD) to discover hard-to-find trends that allow your company to make more informed decisions. Learn what APD is, how it differs from data warehousing, and how to implement it. Key Concept Analysis Process Designer (APD) explores the data that SAP BW collects,...…

  9. Protect Your SAP HANA Investment with HA and DR Options

    Implementing an SAP HANA system involves more than just selecting a standalone server. Organizations must also consider the different options available in terms of high availability (HA) and disaster recovery (DR). Depending on the organization’s service level requirements, multiple servers, storage devices, backup devices, and network devices might be required. This article gives an overview...…

  10. Leveraging Machine Learning for Demand Forecasting

    Until recently, conventional time series forecasting methods have been predominantly used for forecasting in demand planning. A majority of demand forecasting tools in the market leverage these methods in their solutions. With advances in technology and computing power, the sophistication of these time series algorithms has increased thereby increasing forecast accuracy. However, with the advent…