Omni-channel data connectivity and data ingestion for Hadoop and Spark
Big Data Insurance. Support ALL Hadoop Hive and Spark SQL distributions. For each connector, get “day 1” support which includes full support for any new version of Hive or Spark SQL from day one for the business platform of your choice across AIX, Linux, Solaris, HPUX and Windows.
Unlimited data sources. Ingest popular data sources across relational databases to cloud applications through Sqoop’s generic JDBC connector. Or bulk export data using DataDirect Bulk Load with Sqoop to popular data sources by simply toggling the JDBC connection property “EnableBulkLoad” from 0 to 1.
Customer Focus on Big Data. Ingest SaaS data sources out-of-box with Apache Sqoop for big data analytics on customer experience and marketing automation systems that are core to business operations. Learn more in this Apache Sqoop Connector Guide.
You can now Spark your decisions with our JDBC connectors. With the introduction of JDBC data source API in Apache Spark 1.3, your organization can leverage our powerful JDBC drivers to aggregate and transform data from any Relational, Cloud, SaaS and NoSQL data sources.
Big Data Truth. Keep big data where it lives and expose it directly over OData for instant connectivity without any additional database drivers or engineering to traverse the corporate firewall. The growing OData ecosystem of consumers includes leading cloud applications such as Salesforce or Oracle Service Cloud and analytics tools such as Tableau or Microsoft Power BI.
This video contains 3 short demos showcasing data connectivity options for the Spark environment via JDBC Apache SQOOP, ODBC SparkSQL and Salesforce Spark Dataframes
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