Mastering Spark with R : the complete guide to large-scale analysis and modeling
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Format
Edition
First edition.
Language
English
ISBN
9781492046349, 1492046345, 9781492046325, 1492046329
Notes
Bibliography
Includes bibliographical references and index.
Description
"Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to combine R with Spark to analyze data at scale. This book covers relevant data science topics, cluster computing, and issues that will interest even the most advanced users."--Back cover
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Luraschi, J., Kuo, K., & Ruiz, E. (2019). Mastering Spark with R: the complete guide to large-scale analysis and modeling (First edition.). O'Reilly Media.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Luraschi, Javier, Kevin, Kuo and Edgar, Ruiz. 2019. Mastering Spark With R: The Complete Guide to Large-scale Analysis and Modeling. O'Reilly Media.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Luraschi, Javier, Kevin, Kuo and Edgar, Ruiz. Mastering Spark With R: The Complete Guide to Large-scale Analysis and Modeling O'Reilly Media, 2019.
MLA Citation, 9th Edition (style guide)Luraschi, Javier,, Kevin Kuo, and Edgar Ruiz. Mastering Spark With R: The Complete Guide to Large-scale Analysis and Modeling First edition., O'Reilly Media, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
81a2edf0-7894-1d05-423c-55050374f7f5-eng
Grouping Information
| Grouped Work ID | 81a2edf0-7894-1d05-423c-55050374f7f5-eng |
|---|---|
| Full title | mastering spark with r the complete guide to large scale analysis and modeling |
| Author | luraschi javier |
| Grouping Category | book |
| Last Update | 2024-04-12 23:07:04PM |
| Last Indexed | 2024-04-17 02:22:30AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Jun 8, 2022 |
| Last Used | May 1, 2024 |
Marc Record
| First Detected | Mar 21, 2023 01:15:13 PM |
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| Last File Modification Time | Mar 21, 2023 01:15:13 PM |
| Suppressed | Record had no items |
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| 100 | 1 | |a Luraschi, Javier,|e author.|9 429305 | |
| 245 | 1 | 0 | |a Mastering Spark with R :|b the complete guide to large-scale analysis and modeling /|c Javier Luraschi, Kevin Kuo, and Edgar Ruiz. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA :|b O'Reilly Media,|c [2019] | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (xviii, 274 pages) :|b illustrations | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Intro; Copyright; Table of Contents; Foreword; Preface; Formatting; Acknowledgments; Conventions Used in This Book; Using Code Examples; O'Reilly Online Learning; How to Contact Us; Chapter 1. Introduction; Overview; Hadoop; Spark; R; sparklyr; Recap; Chapter 2. Getting Started; Overview; Prerequisites; Installing sparklyr; Installing Spark; Connecting; Using Spark; Web Interface; Analysis; Modeling; Data; Extensions; Distributed R; Streaming; Logs; Disconnecting; Using RStudio; Resources; Recap; Chapter 3. Analysis; Overview; Import; Wrangle; Built-in Functions; Correlations; Visualize | |
| 505 | 8 | |a Using ggplot2Using dbplot; Model; Caching; Communicate; Recap; Chapter 4. Modeling; Overview; Exploratory Data Analysis; Feature Engineering; Supervised Learning; Generalized Linear Regression; Other Models; Unsupervised Learning; Data Preparation; Topic Modeling; Recap; Chapter 5. Pipelines; Overview; Creation; Use Cases; Hyperparameter Tuning; Operating Modes; Interoperability; Deployment; Batch Scoring; Real-Time Scoring; Recap; Chapter 6. Clusters; Overview; On-Premises; Managers; Distributions; Cloud; Amazon; Databricks; Google; IBM; Microsoft; Qubole; Kubernetes; Tools; RStudio; Jupyter | |
| 505 | 8 | |a LivyRecap; Chapter 7. Connections; Overview; Edge Nodes; Spark Home; Local; Standalone; YARN; YARN Client; YARN Cluster; Livy; Mesos; Kubernetes; Cloud; Batches; Tools; Multiple Connections; Troubleshooting; Logging; Spark Submit; Windows; Recap; Chapter 8. Data; Overview; Reading Data; Paths; Schema; Memory; Columns; Writing Data; Copying Data; File Formats; CSV; JSON; Parquet; Others; File Systems; Storage Systems; Hive; Cassandra; JDBC; Recap; Chapter 9. Tuning; Overview; Graph; Timeline; Configuring; Connect Settings; Submit Settings; Runtime Settings; sparklyr Settings; Partitioning | |
| 505 | 8 | |a Implicit PartitionsExplicit Partitions; Caching; Checkpointing; Memory; Shuffling; Serialization; Configuration Files; Recap; Chapter 10. Extensions; Overview; H2O; Graphs; XGBoost; Deep Learning; Genomics; Spatial; Troubleshooting; Recap; Chapter 11. Distributed R; Overview; Use Cases; Custom Parsers; Partitioned Modeling; Grid Search; Web APIs; Simulations; Partitions; Grouping; Columns; Context; Functions; Packages; Cluster Requirements; Installing R; Apache Arrow; Troubleshooting; Worker Logs; Resolving Timeouts; Inspecting Partitions; Debugging Workers; Recap; Chapter 12. Streaming | |
| 505 | 8 | |a OverviewTransformations; Analysis; Modeling; Pipelines; Distributed R; Kafka; Shiny; Recap; Chapter 13. Contributing; Overview; The Spark API; Spark Extensions; Using Scala Code; Recap; Appendix A. Supplemental Code References; Preface; Formatting; Chapter 1; The World's Capacity to Store Information; Daily Downloads of CRAN Packages; Chapter 2; Prerequisites; Chapter 3; Hive Functions; Chapter 4; MLlib Functions; Chapter 6; Google Trends for On-Premises (Mainframes), Cloud Computing, and Kubernetes; Chapter 12; Stream Generator; Installing Kafka; Index; About the Authors; Colophon | |
| 520 | |a "Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to combine R with Spark to analyze data at scale. This book covers relevant data science topics, cluster computing, and issues that will interest even the most advanced users."--Back cover | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed October 10, 2019). | |
| 590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 700 | 1 | |a Kuo, Kevin,|e author.|9 429306 | |
| 700 | 1 | |a Ruiz, Edgar,|e author.|9 429307 | |
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