We use this solution as a simple repository for all of the data that comes from multiple sources related to our organization. It has financial data, transactional data, customer complaint data, as well as customer feedback data. All of these are collected from different systems and they are consolidated for viewing within our management dashboards or for use in other analytics.
Aster Data Map Reduce is the #16 ranked solution in top Data Warehouse tools. PeerSpot users give Aster Data Map Reduce an average rating of 7.0 out of 10. Aster Data Map Reduce is most commonly compared to Apache Hadoop: Aster Data Map Reduce vs Apache Hadoop. Aster Data Map Reduce is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 24% of all views.
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What is Aster Data Map Reduce?
SQL-MapReduce is a framework created by Teradata Aster to allow developers to write powerful and highly expressive SQL-MapReduce functions in languages such as Java, C#, Python, C++, and R and push them into the discovery platform for high performance analytics. Analysts can then invoke SQL-MapReduce functions using standard SQL or R through Aster Database, the first discovery platform that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets.
Aster Data Map Reduce Customers
Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
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