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2. List of big data companies - Wikipedia

   en.wikipedia.org/wiki/List_of_big_data_companies

   Alpine Data Labs, an analytics interface working with Apache Hadoop and big data; AvocaData, a two sided marketplace allowing consumers to buy & sell data with ease. Azure Data Lake is a highly scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud

3. Data integration - Wikipedia

   en.wikipedia.org/wiki/Data_integration

   Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

4. Pentaho - Wikipedia

   en.wikipedia.org/wiki/Pentaho

   Pentaho for Big Data: EE, CE: PDI plug-in: N/A: Pentaho for Big Data is a data integration tool based on Pentaho Data Integration. [2] It allows executing ETL jobs in and out of big data environments such as Apache Hadoop or Hadoop distributions such as Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. [3]

5. Circana - Wikipedia

   en.wikipedia.org/wiki/Circana

   NPD uses sales data, such as checkout tracking from retailers and distributors as well as consumer-reported purchasing behavior, and offers consumer panel and retail sales tracking services, special reports, analytic solutions, and advisory services. [3] NPD began tracking the North American video game industry from 1995. [7]

6. Customer data platform - Wikipedia

   en.wikipedia.org/wiki/Customer_data_platform

   A customer data platform (CDP) is a collection of software which creates a persistent, unified customer database that is accessible to other systems. Data is pulled from multiple sources, cleaned and combined to create a single customer profile. This structured data is then made available to other marketing systems. [1]

7. Big data - Wikipedia

   en.wikipedia.org/wiki/Big_data

   Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]