Big Data nowadays is getting more and more complex and hard to manage using the same software tools organizations have been using for the past years. That is why many organizations of all types are facing problems regarding data management. Nowadays technologies like open source and high performance database MongoDB make it possible for companies to not only manage and solve the problems they are facing with big data management, but to create business value as well without putting too much effort and without having to risk a lot.
According to MongoDB official website, Fortune 1000 companies and government bodies are benefiting from the innovations of the web pioneers. “These organizations are defining new initiatives and reevaluating existing strategies to examine how they can transform their businesses using Big Data. In the process, they are learning that Big Data is not a single technology, technique or initiative. Rather, it is a trend across many areas of business and technology.”
With Big Data databases companies can realize new sources of competitive advantage, increase customer loyalty and build new applications that are more efficient and less expensive. By doing so companies will not only save lots of money, but they will be able to grow their revenues and achieve many other positive things that can help the company to grow faster and increase its competitiveness. According to MongoDB all organizations that are working on developing new Big Data strategies have to be careful when selecting new partners and also have to consider these factors:
1. Online vs. Offline Big Data
2. Software Licensing Models
4. Developer Appeal
6. General Purpose vs. Niche Solutions
MongoDB which has just hosted its second annual symposium favors NoSQL dynamic schemas that can store together various dissimilar data sets. Over 2,000 organizations rely on MongoDB’s commercial products, from startups to the Fortune 100. Besides being used by small and large companies like MetLife, Otto, Bosch, City of Chicago, Expedia, Forbes and many others, MongoDB has more than 750 partners including popular brands like Amazon, IBM, and Microsoft and has offices across North America, Europe, and Asia including locations like New York, Palo Alto, Sydney, Singapore Hong Kong, etc.
“With MongoDB’s schema-less design, users will be able to bring in new multiple big data sources without needing to ‘prepare it’ in a more traditional sense. It’s all about creating an environment where we have ‘thousands of engines’ reaching out to the database concurrently using parallel processing techniques… made possible when we have the right database sharding architectures. For completeness here, database sharding involves breaking down a database down into smaller component chunks which we call ‘shards’ (as in broken glass) so that we can spreading workloads out across a collection of distributed servers. You just need to know WHEN to shard to start doing it right,” says Adrian Bridgwater, contributor at Forbes.
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