1. Big data processing using Spark in cloud. ([2019]) Editors: Mittal, Mamta; Balas, Valentina Emilia; Goyal, Lalit Mohan; Kumar, Raghvendra, 1987- Record Type: Book Extent: 1 online resource (xiii, 264 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Hands-on big data analytics with PySpark : analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs /: analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs. (2019) Authors: Lai, Rudy; Potaczek, Bartłomiej Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Learn PySpark : build Python-based machine learning and deep learning models /: build Python-based machine learning and deep learning models. ([2019]) Authors: Singh, Pramod Record Type: Book Extent: 1 online resource, illustrations (some color) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Machine learning with PySpark : with natural language processing and recommender systems /: with natural language processing and recommender systems. ([2019]) Authors: Singh, Pramod, 1954- Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. PySpark recipes : a problem-solution approach with PySpark2 /: a problem-solution approach with PySpark2. ([2018]) Authors: Mishra, Raju Kumar Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. PySpark SQL Recipes : with HiveQL, Dataframe and Graphframes /: with HiveQL, Dataframe and Graphframes. (2019) Authors: Mishra, Raju Kumar Other Names: Raman, Sundar Rajan Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Spark for data science cookbook. (2016) Authors: Chitturi, Padma Priya Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Spark for Python developers : a concise guide to implementing Spark big data analytics for Python developers and building a real-time and insightful trend tracker data-intensive app /: a concise guide to implementing Spark big data analytics for Python developers and building a real-time and insightful trend tracker data-intensive app. (2015) Authors: Nandi, Amit Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗