Maintaining flexibility is important for more advanced Big Data analytics workloads
Organisations are employing a variety of deployment modes for different tools types. For example, commonly deployed tools such as BI, reporting and ETL tools are primarily implemented on premise — something that IDC doesn’t expect to change significantly in the future. Business-focused visual analytics tools, however, will continue to be primarily deployed in the private cloud.
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The need to flexibly assign Big Data, machine learning and analytics workloads is key.
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