Spark : (Record no. 37512)
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| INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| International Standard Book Number | 9781491912218 |
| DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Call number | 006.31 CH SP |
| MAIN ENTRY--PERSONAL NAME | |
| Authors | Chambers, Bill |
| TITLE STATEMENT | |
| Title | Spark : |
| Subtitle | the definintive guide : big data processing made simple |
| Statement of responsibility, etc | Bill Chambers and Matei Zaharia |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Sebastopol, CA : |
| Publisher | O'Reilly, |
| Date | c2018. |
| PHYSICAL DESCRIPTION | |
| Extent | xxvi, 576 p. : |
| Other Details | ill. ; |
| Size | 24 cm. |
| GENERAL NOTE | |
| General note | Includes index. |
| CONTENTS | |
| Contents | Part 1. Gentle overview of big data and Spark. What is Apache Spark? A gentle introduction to Spark A tour of Spark's toolset Part 2. Structured APIs : DataFrames, SQL, and datasets. Structured API overview Basic structured operations Working with different types of data Aggregations Joins Data sources Spark SQL Datasets Part 3. Low-level APIs. Resilient distributed datasets (RDDs) Advanced RDDs Distributed shared variables Part 4. Production applications. How Spark runs on a cluster Developing Spark applications Deploying Spark Monitoring and debugging Performance tuning Part 5. Streaming. Stream processing fundamentals Structured streaming basics Event-time and stateful processing Structured streaming in production Part 6. Advanced analytics and machine learning. Advanced analytics and machine learning overview Preprocessing and feature engineering Classification Regression Recommendation Unsupervised learning Graph analytics Deep learning Part 7. Ecosystem. Language specifics : Python (PySpark) and R (SparkR and sparklyr) Ecosystem and community. |
| SUMMARY | |
| Summary | Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark's scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets-Spark's core APIs-through worked examples Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark's stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation. |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Heading | Machine learning |
| ADDED ENTRY | |
| Name | Zaharia, Matei |
| ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://uowd.box.com/s/5tfcyofz1iagzl63whqgic1sfxmdzuij |
| Public note | Location Map |
| MAIN ENTRY--PERSONAL NAME | |
| -- | 34556 |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| -- | 5121 |
| ADDED ENTRY | |
| -- | 34557 |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Shelving location | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| University of Wollongong in Dubai | University of Wollongong in Dubai | Main Collection | 2020-03-12 | Friendship Bookshop | 006.31 CH SP | T0064377 | 2020-02-11 | 2020-02-11 | REGULAR | Mar2020 |