Small Summaries for Big Data
eBook - PDF

Small Summaries for Big Data

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Small Summaries for Big Data

About this book

The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter.

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Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. Acknowledgments
  7. 1 Introduction
  8. Part I Fundamental Summary Techniques
  9. Part II Advanced Summaries and Extensions
  10. References
  11. Index

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Yes, you can access Small Summaries for Big Data by Graham Cormode,Ke Yi in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Bases de datos. We have over one million books available in our catalogue for you to explore.