Insights Into Modeling NoSQL

Industry Expert and SciSpike Co-Founder Dr. Vladimir BacVanski partnered with Dataversity to produce and publish this research paper. A summary is below and the full paper can be downloaded by clicking the link at the end of the Executive Summary.

Executive Summary

The central focus of this report is a DATAVERSITY® 2015 Survey titled “Modeling NoSQL.” The survey’s primary emphasis was to question industry experts on their viewpoints regarding NoSQL in their given enterprises.

The survey is grounded in the idea that NoSQL technologies are here to stay and their use is growing at a faster rate than expected.

Data modelers, software developers, system engineers, and everyone else involved in the IT and Data Management industries need to become more versed in NoSQL’s multi-faceted permutations if they wish to stay competitive in the modern marketplace.

  • Is NoSQL really that important for most organizations?
  • How much more difficult is modeling NoSQL data than modeling data in traditional relational databases?
  • What sorts of data stores are currently being deployed?
  • How is NoSQL modeling being done, and by whom?
  • What sort of training is involved?
  • What will happen over the next five years?

Such questions and a range of others were asked to the survey respondents in order to gain greater clarity on what is no longer an “emerging” trend within Data Management today.

Survey highlights include:

  • Close to 25% of respondents said their organizations are using NoSQL in production.
  • Of those currently using NoSQL, more than 60% said they have implemented Hadoop.
  • 63% said they plan to implement a Document Store within the next 18 months.
  • 60% said they plan to implement a Graph Store within the next 18 months.
  • Some of the most desired NoSQL system features are better query/search capability, security, multi-model potentials, transactional integrity, and metadata management.
  • Some of the most significant hurdles to NoSQL adoption include immaturity of existing systems, lack of training and knowledge, too many choices, lack of mature tools, and the need for more use cases.
  • 32% said they do not do data modeling for their NoSQL system, they simply code the application.
  • 46% of the data modeling practiced with NoSQL is done by the programmer who uses the NoSQL store.
  • Almost 50% of the respondents said they do not have any NoSQL specialist data modelers.
  • 85% said that data modelers are needed for NoSQL.
  • 63% said NoSQL modeling techniques require a new generation of data modelers.
  • 40% said NoSQL modeling is more difficult than traditional, relational modeling.
  • Understanding the business, integration, and speed are the top three focus points of respondent’s modeling practices.
  • Close to 30% said they received their NoSQL modeling training off of blogs, webinars, and other online sources.

To see the full paper please click here: Insights Into Modeling NoSQL.

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