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IN THIS CHAPTER
» Lookingattoday’sdatasharingmethods » Recognizingthecostofdelays
» Lookingatcomputingcomplexity
» Addressingbusinesspainpoints
Chapter 2 Understanding Traditional Data Sharing Challenges
In this chapter, you learn about the many limitations of tradi- tional data sharing methods and technologies.
Addressing a Multi-Faceted Problem
If you anticipate sharing data with tens, hundreds, or even ­thousands­ of­ internal­ or­ external­ data­ consumers —­ each­ of­ which­has­unique­data­sharing­requirements —­how­can­you­eas- ily support this challenge? How do you support growth without constantly building more storage clusters, managing complex software,­ and­ suffering­ through­ prolonged­ latencies­ and­ perfor- mance­­penalties —­all­without­creating­inconsistencies­by­shar- ing stale copies of data? Simply put, the traditional data warehouse platforms of today were not built to support the constant need to share data in real time.
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