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Data management advice to avoid risks, misuse

Many data professionals have yet to solidify traditional data management practices, but they have a new set of challenges to overcome to ensure data privacy and avoid misuse.

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Aerospike NoSQL database hooks up to Spark

Apache Kafka and Apache Spark connectors ease use of the Aerospike NoSQL data store in high-speed applications such as analytics that are becoming more broadly supported.

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GDPR, data governance find place in data catalog

Data catalog systems form a hub for managing a company's data. New products are focusing on machine learning and AI add-ons that help automate some aspects of data governance.

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Enterprises starting to augment data management

With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data.

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  • Enterprise data architecture best practices

    Machine learning meets enterprise data management

    Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort.

  • Data quality techniques and best practices

    Data management advice to avoid risks, misuse

    Many data professionals have yet to solidify traditional data management practices, but they have a new set of challenges to overcome to ensure data privacy and avoid misuse.

  • Database management system (DBMS) architecture, design and strategy

    Aerospike NoSQL database hooks up to Spark

    Apache Kafka and Apache Spark connectors ease use of the Aerospike NoSQL data store in high-speed applications such as analytics that are becoming more broadly supported.

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