PORTLAND, Oregon, March 3, 2015 /PRNewswire/ --
Data that is uncorrelated and does not have a pre-defined data model and is not organized in a pre-defined manner requires special handling and analytics techniques. The common industry term, Big Data, represents unstructured data sets that are large, complex, and prohibitively difficult to process using traditional management tools.
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In previous Leading Big Data Companies reports, Mind Commerce has covered larger, more well-known and evaluated Big Data companies. In this edition of Big Data Leader research, Mind Commerce evaluates smaller, less-known companies that have innovative solutions and great promise to solve the many challenges presented by huge datasets and generate information/insights from them with minimal delay time (sometimes in real-time).
View Complete Report @http://www.bigmarketresearch.com/big-data-leaders-connotate-technologies-couchbase-gooddata-guavus-and-talend-market
Companies evaluated in this report* includes:
For each company evaluated in this report we include the following:
All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
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Table of Content:
1. Connotate Technologies
1.1. Overview
1.2. Offerings
1.3. Strategies & Plans
1.4. Partnerships & Alliances
1.5. Key Contract Wins
1.6. Analysis And Conclusion
2. Couchbase
2.1. Overview
2.2. Offerings
2.3. Strategies And Plans
2.4. Partnerships & Alliances
2.5. Key Contract Wins
2.6. Analysis And Conclusion
3. Gooddata
3.1. Overview
3.2. Offerings
3.3. Strategies And Plans
3.4. Partnerships & Alliances
3.5. Key Contract Wins
3.6. Analysis And Conclusion
4. Guavus
4.1. Overview
4.2. Offerings
4.3. Strategies And Plans
4.4. Partnerships & Alliances
4.5. Key Contract Wins
4.6. Analysis And Conclusion
5. Talend
5.1. Overview
5.2. Offerings
5.3. Strategies And Plans
5.4. Partnerships & Alliances
5.5. Key Contract Wins
5.6. Analysis And Conclusion
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