1. Apache Spark 2.x for Java developers : explore data at scale using the Java APIs of Apache Spark 2.x /: explore data at scale using the Java APIs of Apache Spark 2.x. (2017) Authors: Gulati, Sourav; Kumar, Sumit Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Computational intelligence in data mining : proceedings of the International Conference on CIDM, 10-11 December 2016 /: proceedings of the International Conference on CIDM, 10-11 December 2016. (2017) Editors: Behera, Himansu Sekhar; Mohapatra, Durga Prasad Other Names: International Conference on "Computational Intelligence in Data Mining", 3rd Record Type: Book Extent: 1 online resource (xix, 847 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep Learning with Hadoop. (2017) Other Names: Dipayan Dev Record Type: Book Extent: 1 online resource (206 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark /: real-world examples to help you analyze large datasets with Apache Spark. (2017) Authors: Kane, Frank Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. From social data mining and analysis to prediction and community detection. (2017) Editors: Kaya, Mehmet; Erdoǧan, Özcan; Rokne, J (Jon), 1941- Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Hadoop 2.x administration cookbook : administer and maintain large Apache Hadoop clusters /: administer and maintain large Apache Hadoop clusters. (2017) Authors: Singh, Gurmukh Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Java : data science made easy : data collection, processing, analysis, and more : a course in two modules.: data science made easy : data collection, processing, analysis, and more : a course in two modules. (2017) Authors: Reese, Richard M, 1953-; Reese, Jennifer L; Grigorev, Alexey Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Java for data science : examine the techniques and Java tools supporting the growing field of data science /: examine the techniques and Java tools supporting the growing field of data science. (2017) Authors: Reese, Richard M, 1953-; Reese, Jennifer L Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Learning Apache Cassandra : managing fault-tolerant and scalable data /: managing fault-tolerant and scalable data. (2017) Authors: Yarabarla, Sandeep Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Learning Apache Flink : discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink /: discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink. ([2017]) Authors: Deshpande, Tanmay Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗