MapR Extends Open Approach to Enterprise Data Quality
The MapR DataOps Governance Framework enables organizations to achieve a high level of data quality and integrity, and help meet mandated
The MapR DataOps Governance Framework enables organizations to achieve a high level of data quality and integrity, and help meet mandated
Vehicle intelligence firm Spireon is working with Snowflake to leverage Amazon Web Services' data warehouse
Artificial intelligence and big data have formed a truly symbiotic relationship, and they need each other to bring to fruition what both are
LinkedIn implemented Apache Kafka to handle real-time data feeds and constructed “Gobblin," a data integration and ingestion
The Kafka-Spark-Cassandra pipeline has proved popular because Kafka scales easily to a big firehose of incoming events, to the order of 100,000/second and
As Oracle recounts, Apache Spark excels at running machine learning queries on massive data
First, identify the data and brainstorm a use case. Then make sure everything's in place to make it
The cloud and a microservices architecture can help with data systems integration, but first an organizational change has to occur.
Why trying to analyze big data in the form of CSV and TSV files can be a colossal
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to