Category: Spark

Category: Spark
Comparing Patterns of Big Data Integration

Previously, I introduced five key patterns of big data integration. Here, we review those patterns, then dive into the pros and cons of each. Five key big data integration patterns With increased reliance on Hadoop and Spark for data management, processing and analytics, data integration strategies should evolve to exploit big data platforms in support … Continue reading “Comparing Patterns of Big Data Integration”

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Syncsort Establishes a New Milestone in Exploiting Mainframe Data with Hadoop

Syncsort is a key player in mainframe data access and integration. The company’s DMX-h product enables ingestion of historical, mainframe data into Hadoop, thereby capitalizing on the power of Hadoop for processing and analyzing mainframe data in combination with other relevant data. Syncsort has taken a significant leap forward with its latest release of DMX-h … Continue reading “Syncsort Establishes a New Milestone in Exploiting Mainframe Data with Hadoop”

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