Persuading performers to mingle and help tout relational databases and operating systems is another struggle.
Relational databases simply cannot handle the extremes of these data sources at least in real-time.
These non-relational databases, with more flexibility than their predecessors, are important for social media and communications services.
Non-relational databases and the arrival of SLA (systems-level architecture)-grade cloud infrastructure have made life a lot easier.
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Why on earth in this day of deep relational databases and high-speed international computer networks do we need printed passports?
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In 1977 Larry Ellison, Bob Miner and Ed Oates founded Software Development Laboratories around a new IBM technology called relational databases.
Both Memcached, which accelerates existing relational databases like MySQL, and Redis, which is a complete, stand-alone database and acceleration solution, are open source technologies.
Traditional relational databases, such as from Oracle (ORCL), were not built for the torrents of data from mobile devices, cloud apps and social networks.
Wheeler's breakthrough was to rejigger the data into a format that allowed entries to be linked by similarity, instead of the exact matches required with most relational databases.
For example, most organizations have their data in structured relational databases like Oracle, but much of the data generated today is unstructured, high-volume web data or machine data.
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At the same time, also twenty years ago, enterprise IT saw a major wave of change with the rise of relational databases running on inexpensive servers, data mining, and data warehousing.
There were limitations in what could be analyzed, due to the inflexibility of data warehouses and relational databases, but the process for cleansing, sorting and analyzing data was well understood as a complete cycle.
Relational databases went from narrow use cases to being used for multiple tasks all over the enterprise with APIs, apps on top, and eventually through systems like ERP, they became the center of the enterprise.
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What the hardware is that goes underneath Oracle (or Ingres etc, the other relational databases, if any of them still exist so long ago was my involvement in this world) is very much a secondary consideration.
As CEO of Hyperion, one of the pioneering business intelligence companies that is now part of Oracle, Sullivan lived through the journey that relational databases systems, reporting, and other analytics technology made as they propagated through the enterprise.
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The trade-offs involved in using abstracted data in relational databases versus non-abstracted data in non-relational databases, relying on pre-abstraction versus self-abstraction of high-volume data streams, and so on are not obvious, will change as technology involves, and will depend on the company and the problem.
The vast majority of this growth is occurring in the realm of unstructured data, i.e. data that does not fit well into relational tables such as databases.
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In a few years, will we be looking at hybrid databases that take advantage of both relational and non-relational models?
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