With big data becoming a major aspect of business strategy for companies all across the world, it leaves the question will relational database management systems soon be wiped out by new and powerful big data applications or will they coexist together? William Terdoslavich of informationweek.com thinks that this new big data change is not going to wipe these RDBMS but rather work together and “prove to be complementary, not exclusive”.
One key point of this article is about the idea of volume, velocity, and variety aspects of big data. While these RDBMS can still handle the volume of the data, it is not as adept at the velocity and variety aspects. David Teplow, founder and CEO of Integra Technology Consulting says “Data must conform to some kind of predefined schema. Data coming in too fast and too heterogeneously -- think Facebook likes, GPS coordinates, and Web logs -- cannot be easily classified for RDBMS purposes. That's where Hadoop and NoSQL take over." While a database may be able to collect this data, applications like Tableau as well can visual this data, like showing amount of Facebook likes in certain regions in the United States.
A second key point is the use of a centralized architecture ex. RDBMS vs. a distributed architecture. Lyn Robison, vice president and research director for data management strategies at Gartner Group brings up a key point about Access, “It is possible you could get too many client requests. A relational database will tell the client requests it cannot handle, 'Sorry. I'm too busy.' But for applications like NoSQL “you split the data among many servers, each one hosting a smaller slice with every server added via the cloud.” In the end it comes down to what you want, for RDBMS data is highly consistent but not always available, or data be readily available, but not consistent.
A final key point is the idea of governance. Big data is still playing catch up in this aspect and “it is a typical evolution process, Teplow said. "You get the core functionality you need. Nice things, like security and governance, come later. Also the new tools of big data "are not easy to use," said Robison. People still need to understand how understand these analytics are used and be understood by people who may not be in these data analytics field.
One thing that I wish the article touch base on was the transactional presence that RDBMS have. It is brought up in the second attached article and how Oracle is used widely by Amazon and their transactions. Another aspect I wish the article touch base on is how applications like Tableau allow for visualization for this data and makes it so much more dynamic. Lastly it is mentioned in the second article that tools like no-SQL databases have been around since the 80’s and are not new tech, but new generations of tech.
http://www.eweek.com/database/oracle-defends-relational-dbs-against-nosql-competitors.html
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