PySpark recipes : a problem-solution approach with PySpark2 /: a problem-solution approach with PySpark2. ([2018])

• Record Type: Book
• Further Information: Note: Raju Kumar Mishra.
• Authors: Mishra, Raju Kumar
• Contents: Chapter 1: The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks -- Chapter 2: Installation -- Chapter 3: Introduction to Python and NumPy -- Chapter 4: Spark Architecture and Resilient Distributed Dataset -- Chapter 5: The Power of Pairs: Paired RDD -- Chapter 6: IO in PySpark -- Chapter 7: Optimizing PySpark and PySpark Streaming -- Chapter 8: PySparkSQL -- Chapter 9: PySpark MLlib and Linear Regression.
• Publisher Details: United States : Apress
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource, illustrations
• Subjects: 005.13/3; Computer science; Python (Computer program language); SPARK (Computer program language); COMPUTERS -- Programming Languages -- General; Python (Computer program language); SPARK (Computer program language); Computer Science; Big Data; Programming Techniques; Programming Languages, Compilers, Interpreters; Data Mining and Knowledge Discovery; Computers -- Programming -- General; Computers -- Database Management -- Data Mining; Computer programming / software development; Programming & scripting languages: general; Data mining; Big data; Data mining; Computers -- Database Management -- General; Databases; Electronic books; Electronic book
• Languages: English
• ISBNs: 9781484231418; 1484231414
• Related ISBNs: 9781484231401; 1484231406
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed December 20, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.