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Advanced Tuning for JD Edwards EnterpriseOne Implementations

List Price: $115.00
SKU:
9780071798549
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  • Product Details

    Author:
    Frank Jordan, Gurbinder Bali, Patrick Scott, Allen Jacot, Kyle Kinder, Michael Jacot
    Format:
    Paperback
    Pages:
    560
    Publisher:
    McGraw Hill LLC (July 16, 2013)
    Imprint:
    McGraw Hill
    Audience:
    General/trade
    ISBN-13:
    9780071798549
    ISBN-10:
    0071798544
    Weight:
    32.32oz
    Dimensions:
    8.3" x 9" x 1.1"
    File:
    McGrawHill-MH_ONIX_V30_US_onix30_all(26_07_28)-20260919-a.xml
    Folder:
    McGrawHill
    List Price:
    $115.00
    Pub Discount:
    55
    Case Pack:
    12
    As low as:
    $98.90
    Publisher Identifier:
    P-MCGRAW
    Discount Code:
    C
  • Overview

    Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality,  authenticity, or access to any online entitlements included with the product.



    Best Practices for JD Edwards EnterpriseOne Tuning and Optimization

    Achieve peak performance from your ERP platform while minimizing downtime and lowering TCO. Advanced Tuning for JD Edwards EnterpriseOne Implementations shows how to plan and adopt a structured, top-to-bottom maintenance methodology. Uncover and eliminate bottlenecks, maximize efficiency at every component layer, troubleshoot databases and web servers, automate system testing, and handle mobile issues. This Oracle Press guide offers complete coverage of the latest cloud, clustering, load balancing, and virtualization solutions.

    • Understand the components of a structured tuning plan
    • Establish benchmarks and implement key industry practices
    • Perform changes and accurately measure system-wide impact
    • Diagnose and repair HTTP, web application, and Java issues
    • Troubleshoot Oracle Database connections and transactions
    • Streamline Oracle’s JD Edwards EnterpriseOne kernel and JDENeT processes
    • Configure, test, and manage virtual machines and servers
    • Work with Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud