BIG DATA IN ENGINEERING APPLICATIONS ,Big Data(globally)
- 1. BIG DATA IN ENGINEERING APPLICATIONS
- 2. Overview • Introduction • Why Big Data • Big Data(globally) • Big Data: 3 V’s • Big Data challenges • Big Data in Design Engineering • Reasons for the importance of Big Data • Cloud and Big Data • Big Data in Ecommerce • PLM in Big Data • Advantages • Conclusion
- 3. INTRODUCTION • Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. • The challenges that we face with dbms tools and other technologies is capture, curation, storage, search, sharing, transfer, analysis, and visualization.
- 4. Why Big data • Key enablers for the appearance and growth of ‘Big-Data’ are: + Increase in storage capabilities + Increase in processing power + Availability of data
- 6. Big data: 3 V’s • Big data is usually transformed in three dimensions- volume, velocity and variety. • Volume: Machine generated data is produced in larger quantities than non traditional data. • Velocity: This refers to the speed of data processing. • Variety: This refers to large variety of input data which in turn generates large amount of data as output.
- 7. REF:2
- 11. The Evolution of Business Intelligence scale scale 1990’s 2000’s 2010’s https://www.google.de/search? q=evolution+of+business+intelligence&newwindow=1&tbm=isch&tbo=u&source=univ&sa=X&ei=gEGoU5KXBuTb4QSGsoH4BQ&ved=0CDsQs
- 12. OLTP: Online Transaction Processing (DBMSs) OLAP: Online Analytical Processing (Data Warehousing) RTAP: Real-Time Analytics Processing (Big Data Architecture & technology)
- 13. Big data in design and engineering • Engineering department of manufacturing companies. • Boeing’s new 787 aircraft is perhaps the best example of Big Data, a plane designed and manufactured. • Big Data needs to be transferred for conversion into machining related information to allow the product to be manufactured.
- 14. Reasons for the importance of Big Data • Increase innovation and development of next generation product • Improve customer satisfaction • Sharpen competitive advantages • Create more narrow segmentation of customers • Reduce downtime
- 15. Cloud and big data • In fact from a Cloud perspective I believe that the transfer and archiving of Big Data will become a key capability of a manufacturing focused cloud environment. • Servers based on the Intel® Xeon® processor E5 and E7 families are at the heart of infrastructure that supports both cloud and big data environments. • Ideal for storing and processing large volumes of data • Web based tools will allow you to upload your Big Data to the manufacturing cloud,
- 16. Bigdata in Ecommerce • Collect, store and organize data from multiple data sources. • Bigdata track and better understand a variety of information from many different sources(i.e., inventory management system, CRM, Adword/Adsence analytics, email service provider statastics etc).
- 17. PLM in Big Data • Big data grows ridiculously fast • Most Big data is ephemeral by nature • Out-of-date Big data can undermine the results of your business analytics
- 18. PLM adopts Big Data? • Too big and too abstract. • This is not simple and will not happen overnight for most of manufacturing companies using PLM systems. • PLM data size may reach to yotta bytes
- 19. Advantages • Dialogue with consumers • Redevelop your products • Perform risk analysis • Keeping data safe • Customize your website in real time • Reducing maintenance cost
- 20. Conclusion • Silicon valley and through social media is making Big Data a global phenomenon • Not only Big Data is “cool” it happens to be a huge growth area as well.
- 21. Resources : 1. https://www.google.de/search? q=evolution+of+business+intelligence&newwindow=1&tbm=isch&tbo=u&source=univ&sa=X&ei=gEGoU5KXBuT b4QSGsoH4BQ&ved=0CDsQsAQ&biw=1366&bih=64 2. https://www.google.de/search? q=big+data+TRANSACTION+INTERACTION+OBSERVATION+EXAMPLE&newwindow=1&source=lnms&tbm=isch&s a=X&ei=DkaoU-H4K4Xe4QSO1oDwAg&ved=0CAgQ_AUoAQ&biw=1366&bih=643 3. http://www.tcs.com/SiteCollectionDocuments/White%20Papers/Knowledge-Big-Data-Analytics-Product- Development-1213-1.pdf 4. http://www.meltinfo.com/ppt/ibm-big-data 5. http://wwwiti.cs.uni-magdeburg.de/iti_db/forschung/index.php#projekte 6. http://datascienceseries.com/stories/ten-practical-big-data-benefits 7. http://www.intel.com/content/dam/www/public/us/en/documents/product-briefs/big-data-cloud-technologies- brief.pdf 8. http://www.bigdatalandscape.com/news/why-big-data-is-a-must-in-ecommerce 9. http://www.intel.com/content/dam/www/public/us/en/documents/product-briefs/big-data-cloud-technologies- brief.pdf 10. http://www.gxsblogs.com/morleym/2011/10/how-the-cloud-helps-manufacturers-address-%E2%80%98big-data %E2%80%99-challenges.html 11. http://www.itbusinessedge.com/blogs/integration/three-reasons-why-life-cycle-management-matters-more- with-big-data.html 12. http://www.forbes.com/sites/siliconangle/2012/02/29/big-data-is-creating-the-future-its-a-50-billion-market/ 13. http://plmtwine.com/tag/big-data/ 14. http://www.3dcadworld.com/big-data-will-important-manufacturers-future/