378. Today we continue discussing the best practice from storage engineering:
379. 
     
380. 378) Finance data is also heavily regulated. The Sarbanes-Oxley act sought to bring control to the corporations in order to avoid accounting scandals. It specified disclosure controls, audit and the compliance terms
381.   

379. 379) ETL tools are widely used for in house finance data. On the other hand, global indexes, ticker price and tradings are constantly polled or refreshed. In these cases, it is hard to unify storage across departments, companies and industries. A messaging framework is preferred instead. Object storage could be put to use in these global stores but their adoption and usage across companies is harder to enforce. 

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381. 380) Web services and gateways are preferred to distribute data and different kinds of finance data processing systems evolve downstream. These systems tend to have their own storage while transforming and contributing to the data in flight. The web-services are also popular for using as data source in parallel analysis usages. Since distribution and flow is more important for the data, the origin is considered the source of truth and the data changes are not propagated back to the origin. 

381. 
     
382. 381) Health industry data is another example with its own needs around data compliance. The Health insurance portability and Accountability act required a lot of controls around who, when and where can get access to personally identifiable information 

382. 
     
383. 382) Health data is often tightly integrated into proprietary stacks and organizations. Yet they are also required to participate in providing web access to all the information surrounding an individual at the same place. This makes them require a virtualized cross company data storage. 

383. 
     
384. 383) Health data is not just sharded by customer but also maintained in isolated shared-nothing pockets with their own management systems. Integration of data to represent a whole for the same customer is the new and emerging trend in the health industry. Organizations and companies are looking to converge the data for an individual without losing privacy or failing to comply with government regulations.