Mishra, Raju Kumar
PySpark Recipes
Table of contents
1. The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks
Raju Kumar Mishra
2. Installation
Raju Kumar Mishra
3. Introduction to Python and NumPy
Raju Kumar Mishra
4. Spark Architecture and the Resilient Distributed Dataset
Raju Kumar Mishra
5. The Power of Pairs: Paired RDDs
Raju Kumar Mishra
6. I/O in PySpark
Raju Kumar Mishra
7. Optimizing PySpark and PySpark Streaming
Raju Kumar Mishra
8. PySparkSQL
Raju Kumar Mishra
9. PySpark MLlib and Linear Regression
Raju Kumar Mishra
Nyckelord: Computer Science, Big Data, Programming Techniques, Programming Languages, Compilers, Interpreters, Data Mining and Knowledge Discovery
- Författare
- Mishra, Raju Kumar
- Utgivare
- Springer
- Utgivningsår
- 2018
- Språk
- en
- Utgåva
- 1
- Sidantal
- 23 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (PDF)
- 9781484231418
- Tryckt ISBN
- 978-1-4842-3140-1
