Oracle SQL for Data Analytics
close menu
Bookswagon
search
My Account
Home > Databases > Oracle SQL for Data Analytics: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data
Oracle SQL for Data Analytics: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data

Oracle SQL for Data Analytics: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data


     0     
5
4
3
2
1



International Edition


X
About the Book

Stop building reports that break. Stop writing SQL that works-until it doesn't.

Every data professional knows the feeling. Your query executes without errors, the numbers look reasonable, and you send it to production. Then the data grows, the joins multiply, and suddenly your "working" query is a performance nightmare that brings the dashboard to a crawl.

Oracle SQL for Data Analytics is the practical guide that bridges the gap between knowing SQL syntax and writing SQL that actually works in the real world. Written for data analysts, SQL developers, and BI professionals who want to move beyond basic queries, this book shows you how to build reliable, maintainable, and production-ready Oracle SQL for enterprise-scale workloads.

What You'll Learn
  • Master the fundamentals-write precise SELECT queries that ask for exactly the data you need

  • Combine enterprise data-solve multi-table business problems with joins, subqueries, and set operators

  • Transform and clean data-handle NULL values, standardize inconsistent data, and build practical cleansing workflows

  • Analyze like a pro-use aggregate functions, analytic windows, and common table expressions to build meaningful business metrics

  • Tune for performance-understand execution plans, optimize indexes, and rewrite slow SQL using real evidence

  • Work with modern data-query and generate JSON, store embeddings, and build AI-ready semantic search with Oracle AI Database 26ai

What Makes This Book Different

Most SQL books teach you syntax. This book teaches you how to think like a professional SQL developer.

Instead of random examples, you'll work with a connected enterprise dataset that grows with your skills. You'll learn a repeatable workflow: understand the requirement → inspect the data → build the query → validate the result → optimize performance. Every technique is demonstrated with realistic business problems-customer intelligence, inventory analysis, data quality, performance tuning, and end-to-end enterprise projects.

Whether you're querying your first Oracle database or preparing for AI-powered workloads, this book gives you the practical skills to solve real data problems with confidence.

Who This Book Is For
  • Data analysts who want to write better SQL

  • SQL developers building production reports and datasets

  • BI professionals transitioning to Oracle

  • Developers who need to work with JSON, vectors, and modern Oracle features

  • Anyone tired of queries that "almost work"

Stop guessing. Start building SQL that delivers correct results, executes efficiently, and stands up to the demands of enterprise data.

Get your copy today and transform the way you work with Oracle SQL.


Best Sellers


Product Details
  • ISBN-13: 9798194251889
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 346
  • Returnable: N
  • Sub Title: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data
  • Width: 178 mm
  • ISBN-10: 8194251885
  • Publisher Date: 22 Aug 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 18 mm
  • Weight: 652 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Oracle SQL for Data Analytics: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data
Independently Published -
Oracle SQL for Data Analytics: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Oracle SQL for Data Analytics: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    Your IP: 216.73.217.23 IN