Drupal for big data is it ready?
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The document discusses the suitability of Drupal for handling big data challenges, emphasizing the complexities of large datasets that traditional data processing applications cannot manage. It outlines both the advantages, such as a strong community and support, and disadvantages, including performance issues and robustness, of using Drupal in this context. Additionally, the document highlights the potential of visualizing big data within Drupal to enhance knowledge discovery.
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Drupal for big data is it ready?
- 1. Drupal for big data - is it ready? Janis Janovskis Passive Management Ltd London, April 16th, 2015
- 2. Janis Janovskis @passivus Tech Entrepreneur English, Russian, Latvian, PHP, Javascript, Python, Go > 100 Frameworks Biggest team size 55 Smallest 2 Runer, chef, photographer
- 9. Big Data??? Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualisation, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. @Wikipedia
- 10. Volume
- 11. Velocity
- 12. Variety
- 13. Hang on…. What is Drupal?
- 17. DataBase
- 18. Web server
- 19. Structure
- 21. Big Data??? Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualisation, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set.
- 23. Can We parse unstructured data with Drupal???
- 24. function my_analysis_external_views_plugins() { $plugin = array(); $plugin['query'] ['my_analysis_master_plugin_query'] = array(); ….. } Views???
- 25. Views??? public function query($get_count = FALSE){ }
- 26. function execute(&$view){ $data = drupal_http_request(“what so ever”); crazy_learn(&$data); return drupal_render(what_so_ever($data)); } Views???
- 31. Pros • Great community • Support • Reputation • Myriad of vendors
- 32. Cons • Too robust • Slow • No lazy loading • Single threaded • Heavy • Structured
- 33. Case Studies
- 39. Tracked search results with nodes???
- 41. Visualizing Big Data In Drupal: Using Data Visualizations to Drive Knowledge Discovery
- 47. Drupal for big data - is it … ?
- 48. Acknowledgements • Nicolas Roberts - niccolo.roberts@gmail.com • http://www.westridge.com/media/series/out-of-the-box • Florian Loretan • My Wife • Drupal Community • Organisers