Big Data Considerations You can't process the amount of data that you want to because of the limitations of your current platform You can't include new/contemporary data sources(e.g social media, RFID, Sensory, Web, GPS, textual data) because it does not comply with the data storage schema You need to (or want to) integrate data as quickly as possible to be current on your analysis You want to work with a schema-on-demand data storage paradigm because of the variety of data types involved The data is arriving so fast at your organization's doorstep that your traditional analytics platform cannot handle it Copynight@ 2014 Pearson Education, Inc Slide 6-13Copyright © 2014 Pearson Education, Inc. Slide 6 - 13 Big Data Considerations ▪ You can’t process the amount of data that you want to because of the limitations of your current platform. ▪ You can’t include new/contemporary data sources (e.g., social media, RFID, Sensory, Web, GPS, textual data) because it does not comply with the data storage schema ▪ You need to (or want to) integrate data as quickly as possible to be current on your analysis. ▪ You want to work with a schema-on-demand data storage paradigm because of the variety of data types involved. ▪ The data is arriving so fast at your organization’s doorstep that your traditional analytics platform cannot handle it. ▪ …