/ Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed - Paperback

Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed - Paperback

Regular price$59.38
/
(Tax included. Shipping calculated at checkout.)
✔ Authenticity Guaranteed — Verified Designer Goods
✔ 100% Money-Back Guarantee on Eligible Items
✔ Prices Displayed in Your Local Currency
✔ Final Price = No Surprise Import Fees
✔ Complimentary Insured Worldwide Shipping on Qualifying Orders
✔ Select Collector & Specialty Pieces May Require Secured Delivery Handling
Our authentication process ensures every item meets strict luxury verification standards. Learn more
Complimentary worldwide shipping on qualifying orders

by Roger Cornejo (Author)

Use an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance. The approach used in this book represents a step-change paradigm shift away from traditional methods. Instead of relying on a few hand-picked, favorite metrics, or wading through multiple specialized tables of information such as those found in an automatic workload repository (AWR) report, you will draw on all available data, applying big data methods and analytical techniques to help the performance tuner draw impactful, focused performance improvement conclusions.

This book briefly reviews past and present practices, along with available tools, to help you recognize areas where improvements can be made. The book then guides you through a step-by-step method that can be used to take advantage of all available metrics to identify problem areas and work toward improving them. The method presented simplifies the tuning process and solves the problem of metric overload.
You will learn how to: collect and normalize data, generate deltas that are useful in performing statistical analysis, create and use a taxonomy to enhance your understanding of problem performance areas in your database and its applications, and create a root cause analysis report that enables understanding of a specific performance problem and its likely solutions.

What You'll Learn
  • Collect and prepare metrics for analysis from a wide array of sources
  • Apply statistical techniques to select relevant metrics
  • Create a taxonomy to provide additional insight into problem areas
  • Provide a metrics-based root cause analysis regarding the performance issue
  • Generate an actionable tuning plan prioritized according to problem areas
  • Monitor performance using database-specific normal ranges

Who This Book Is For
Professional tuners: responsible for maintaining the efficient operation of large-scale databases who wish to focus on analysis, who want to expand their repertoire to include a big data methodology and use metrics without being overwhelmed, who desire to provide accurate root cause analysis and avoid the cyclical fix-test cycles that are inevitable when speculation is used

Back Jacket

Use an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance. The approach in this book is a step-change away from traditional methods. Instead of relying on a few hand-picked, favorite metrics, or wading through multiple specialized tables of information such as those found in an automatic workload repository (AWR) report, you will draw on all available data, applying big data methods and analytical techniques to draw impactful, focused performance improvement conclusions.
This book reviews past and present practices, along with available tools, to help you pinpoint areas for improvement. The book then guides you through a step-by-step method that can be used to take advantage of all available metrics to identify problem areas and work toward improving them. The method presented simplifies the tuning process and solves the problem of metric overload.
You will learn how to: collect and normalize data, generate deltas that are useful in performing statistical analysis, create and use a taxonomy to enhance your understanding of problem performance areas in your database and its applications, and create a root cause analysis report that enables understanding of a specific performance problem and its likely solutions.
What You'll Learn:

  • Collect and prepare metrics for analysis from a wide array of sources
  • Apply statistical techniques to select relevant metrics
  • Create a taxonomy to provide additional insight into problem areas
  • Provide a metrics-based root cause analysis regarding the performance issue
  • Generate an actionable tuning plan prioritized according to problem areas
  • Monitor performance using database-specific normal ranges

Author Biography

​Roger Cornejo has been an Oracle enthusiast since 1985 (versions 4-12c). He has experience on large enterprise-class Oracle applications, not only in performance troubleshooting and tuning, but also in systems architecture, information modeling, and software development/project management. For the past 10 years, his main focus has been database performance analysis and tuning, with much of his time spent exploring the complexities and usefulness of AWR* tuning data. He produces Oracle Database tuning results across 12c/11g/10g (and occasionally 9i) databases. He is a thought-leader in his field, and has been recognized for his expertise in tuning. He has presented at the past eight East Coast Oracle Conferences, as well as at COLLABORATE14 and COLLABORATE18, RMOUG16, and Hotsos 2017-2018.

Number of Pages: 224
Dimensions: 0.52 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: December 07, 2018
  • In stock, ready to ship
  • Backordered, shipping soon
Shop with Confidence
  • ✔ Authenticity Guaranteed — Verified Designer Goods
  • ✔ Sourced from Authorized European/U.S. Luxury Distributors
  • ✔ Secure Checkout — SSL Encrypted Payments
  • ✔ Fast Global Delivery — 3–11 Business Days
  • ✔ Easy Returns on Eligible Items
  • ✔ 100% Money-Back Guarantee — Full Refund if Not Satisfied
Verified Trust Rating: 91/100
Amazon American Express Apple Pay Bancontact Diners Club Discover Google Pay Mastercard PayPal Shop Pay USDC Visa SSL Secure
Amazon Pay Logo Fast checkout with Amazon Pay. Use your Amazon account to skip entering shipping or card info.
Trusted by discerning buyers worldwide — secure, verified luxury sourcing

AUTHENTICITY GUARANTEED

Reserved for you — complete your purchase to secure this piece.

Authorized Designer Inventory Secure & Encrypted Checkout Tracked & Insured Delivery

OFFICIALLY AUTHORIZED RESELLER

Discover Officially Authorized Authentic Items at STORE7994.com - Certificates Available on Request!

Independently verified for store quality and customer safety.
Trust score: 91/100

All designer items offered by STORE 7994 are sourced from trusted luxury distributors and verified through independent authentication services.

Learn how STORE 7994 authenticates luxury items

Guaranteed Authentic — Includes Brand Documentation & Third-Party Verification Options.

Shipping information

  • Free Shipping* on all orders over $300 USD to most countries* Estimated delivery: 2-5 business days Mon-Sat to U.S., CA, EU etc.
  • Tracking available: DHL Express
  • Store 7994 Shipping policy
  • Global delivery in 3–9 business days (location dependent).
  • Free Worldwide Shipping $300+. International duties & VAT are calculated by destination country and may be collected upon delivery. UK orders are subject to 20% import VAT upon delivery.

Our innovation isn’t just in the brands we carry — it’s in the way we connect them. From our automation engine that keeps collections globally updated to our commitment to authenticity-first presentation, STORE 7994 exists where timeless design meets modern precision.

Every product we offer is:
Elevated · Intentional · Exclusive · Authentic

STORE 7994 is an authorized reseller of luxury fashion houses. Certificates and proof of authenticity are available to brand owners and partners upon request.

This site is protected by hCaptcha and the hCaptcha Privacy Policy and Terms of Service apply.

Returns & Refunds

We want you to shop with confidence at STORE 7994. If your purchase does not meet expectations, eligible items may be returned under the conditions below.

Return Eligibility
Items must be unused, unworn, and in original condition with all tags, packaging, and accessories included. Items showing any signs of wear or damage will not be accepted.

Return Window
Return requests must be made within 14 days of delivery.

Return Shipping
Customers are responsible for return shipping costs unless the item is defective, damaged, or incorrect.

Luxury Items
Items valued over $1,000 may be subject to a 7% restocking fee upon approved return.

Non-Returnable Items
For hygiene and product integrity reasons, the following items are final sale once opened or used:

• Underwear
• Fragrances
• Any worn or used items

Made-to-Order Items
Custom-designed products, including STORE 7994 hoodies, are made exclusively for each customer and are final sale. These items are not eligible for return or exchange unless defective or incorrect.

If you receive a defective or incorrect item, please contact us and we will make it right.

International Shipping & Duties
Many of our products ship directly from trusted international partners. Any applicable customs duties or import taxes are calculated at checkout and are non-refundable, even if the item is returned.

Returns & Associated Fees
All approved returns are subject to a $24 return processing fee. For international orders, duties, taxes, and return fees will be deducted from the original payment.

Shipping Policy
Complimentary shipping is offered on orders over $300. Orders below this threshold are subject to standard shipping rates at checkout.