Understanding Big Data Scalability
Home > Computing and Information Technology > Databases > Data mining > Understanding Big Data Scalability: Big Data Scalability Series, Part I
Understanding Big Data Scalability: Big Data Scalability Series, Part I

Understanding Big Data Scalability: Big Data Scalability Series, Part I

|
     0     
5
4
3
2
1




Out of Stock


Notify me when this book is in stock
About the Book

Get Started Scaling Your Database Infrastructure for High-Volume Big Data Applications  “Understanding Big Data Scalability presents the fundamentals of scaling databases from a single node to large clusters. It provides a practical explanation of what ‘Big Data’ systems are, and fundamental issues to consider when optimizing for performance and scalability. Cory draws on many years of experience to explain issues involved in working with data sets that can no longer be handled with single, monolithic relational databases.... His approach is particularly relevant now that relational data models are making a comeback via SQL interfaces to popular NoSQL databases and Hadoop distributions.... This book should be especially useful to database practitioners new to scaling databases beyond traditional single node deployments.” —Brian O’Krafka, software architect  Understanding Big Data Scalability presents a solid foundation for scaling Big Data infrastructure and helps you address each crucial factor associated with optimizing performance in scalable and dynamic Big Data clusters.   Database expert Cory Isaacson offers practical, actionable insights for every technical professional who must scale a database tier for high-volume applications. Focusing on today’s most common Big Data applications, he introduces proven ways to manage unprecedented data growth from widely diverse sources and to deliver real-time processing at levels that were inconceivable until recently.   Isaacson explains why databases slow down, reviews each major technique for scaling database applications, and identifies the key rules of database scalability that every architect should follow.   You’ll find insights and techniques proven with all types of database engines and environments, including SQL, NoSQL, and Hadoop. Two start-to-finish case studies walk you through planning and implementation, offering specific lessons for formulating your own scalability strategy. Coverage includes  Understanding the true causes of database performance degradation in today’s Big Data environments Scaling smoothly to petabyte-class databases and beyond Defining database clusters for maximum scalability and performance Integrating NoSQL or columnar databases that aren’t “drop-in” replacements for RDBMSes Scaling application components: solutions and options for each tier Recognizing when to scale your data tier—a decision with enormous consequences for your application environment Why data relationships may be even more important in non-relational databases Why virtually every database scalability implementation still relies on sharding, and how to choose the best approach How to set clear objectives for architecting high-performance Big Data implementations  The Big Data Scalability Series is a comprehensive, four-part series, containing information on many facets of database performance and scalability. Understanding Big Data Scalability is the first book in the series.   Learn more and join the conversation about Big Data scalability at bigdatascalability.com.  

Table of Contents:
Preface ix About the Author xii   Chapter 1: Introduction 1 What You Will Learn 1 The Challenge of Big Data 2 Today’s Big Data Explosion 3 Background for This Book 6 Why the Focus on Database Sharding? 8 Summary 9   Chapter 2: Why Databases Slow Down 10 The Database Slowdown Curve 10 A Hard-Won Lesson 11 The Enemies of Database Performance 14 How to Identify Database Slowdown Issues 21 Summary 23   Chapter 3: What Is Big Data? 24 What Is Big Data Anyhow? 24 Sources of Big Data 28 Summary 32   Chapter 4: Big Data in the Real World 33 Some Real-World Examples of Big Data 33 FullContact 34 Social Point 36 Summary 38   Chapter 5: Scaling Your Application 39 The Goals of a Scalable Application Platform 39 The Excitement of a High-Growth Success 41 Application Scalability Fundamentals 42 A Typical Online Application Architecture 46 Analytics Application Architectures 50 Scaling an Analytics Application 53 How to Scale a Traditional Online Application 53 Summary 55   Chapter 6: When to Scale Your Database 56 The Last Mile of Application Scalability 56 How Do You Know When to Scale Your Database? 57 Options for Increasing Database Performance 58 Indications of the Need for Scale 65 Summary 68   Chapter 7: All Data Is Relational 69 Relational Data Overview 69 The Meaning of Data 70 Relationships Matter 73 Why Data Modelling Is Critical to Success 74 Summary 76   Chapter 8: It’s All About Sharding 77 Sharding: The Ultimate Answer to Database Slowdown 77 The Laws of Databases 78 Sharding Defined 80 Black-Box Sharding 83 Relational Sharding 86 Summary 88   Chapter 9: Scaling Big Data: The Endgame 89 The Game of Big Data Scalability 89 Scaling Big Data Theory 90 The Big Data Endgame 95 Data Locality 98 Summary 99   Index 101


Best Sellers


Product Details
  • ISBN-13: 9780133599091
  • Binding: Digital download
  • No of Pages: 123
  • Weight: 1 gr
  • ISBN-10: 0133599094
  • Language: English
  • Sub Title: Big Data Scalability Series, Part I


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Understanding Big Data Scalability: Big Data Scalability Series, Part I
-
Understanding Big Data Scalability: Big Data Scalability Series, Part I
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.

Understanding Big Data Scalability: Big Data Scalability Series, Part I

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

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!