Enablers of Big Data Analytics In-memory analytics Storing and processing the complete data set in RAM In-database analytics Placing analytic procedures close to where data is stored Grid computing MPP Use of many machines and processors in parallel(MPP-massively parallel processing) Appliances Combining hardware, software, and storage in a single unit for performance and scalability Copynight@ 2014 Pearson Education, Inc Slide 6-16
Copyright © 2014 Pearson Education, Inc. Slide 6 - 16 Enablers of Big Data Analytics ▪ In-memory analytics ▪ Storing and processing the complete data set in RAM ▪ In-database analytics ▪ Placing analytic procedures close to where data is stored ▪ Grid computing & MPP ▪ Use of many machines and processors in parallel (MPP - massively parallel processing) ▪ Appliances ▪ Combining hardware, software, and storage in a single unit for performance and scalability
Challenges of Big Data Analytics Data volume The ability to capture, store, and process the huge volume of data in a timely manner Data integration The ability to combine data quickly and at reasonable cost rocessing capabilities The ability to process the data quickly, as it is captured (i.e,, stream analytics) Data governance(.. security, privacy, access) Skill availability(. data scientist) Solution cost(ROI) Copynight@ 2014 Pearson Education, Inc Slide 6-17
Copyright © 2014 Pearson Education, Inc. Slide 6 - 17 Challenges of Big Data Analytics ▪ Data volume ▪ The ability to capture, store, and process the huge volume of data in a timely manner ▪ Data integration ▪ The ability to combine data quickly and at reasonable cost ▪ Processing capabilities ▪ The ability to process the data quickly, as it is captured (i.e., stream analytics) ▪ Data governance (… security, privacy, access) ▪ Skill availability (… data scientist) ▪ Solution cost (ROI)