通过减少数据库中的数据来获得更好的分析.pdf

1、Get Better Analytics by Putting Less Data in Your DatabaseApril 2024Paige RobertsDirector of Product Innovation2All our tools only work on numbers.We to need convert the data.The Inherent Challenges We cant handle the volume of events we are receiving without loss.We need to be able to utilize addit

2、ional data assets to ask the right questions.We will have too many false positives.How do we to prioritize them?Data Increases20182019202020212022202320242025Source IDC/StatistaAnnual Data Volume Ave Increase:23.4%Annual Analytics Budget Ave Increase:11.0%Data VolumeAnalytics BudgetFaster Than Budge

3、tsStreaming Data OverloadIncreasing Analytic ChallengesExploding Analytic Data VolumesHuman Generated Web clickstreams Call center phone logs Email and text messages Social media firehoses Telco call detail records Digital orders and paymentsStreaming Data OverloadMachine Generated(vehicles,phones,r

4、obots,networks,devices)Machine logs Sensor readings SCADA streams Geolocation informationIncreasing Analytic ChallengesExploding Analytic Data VolumesHuman Generated Web clickstreams Call center phone logs Email and text messages Social media firehoses Telco call detail records Digital orders and pa

5、ymentsStreaming Data OverloadMachine Generated(vehicles,phones,robots,networks,devices)Machine logs Sensor readings SCADA streams Geolocation informationIncreasing Analytic ChallengesExploding Analytic Data VolumesHuman Generated Web clickstreams Call center phone logs Email and text messages Social

6、 media firehoses Telco call detail records Digital orders and paymentsToo Slow Bogged down analytic databases Unhappy customers-real-time response expectations not getting met Fraud detection,not fraud prevention Cyber intrusions found months later Machine alerts not acted on until too lateStreaming