Data engineering is a core element of analytics and is a diverse discipline covering several areas, including data modeling, data integration, big data design, and OLAP, as well as in-memory data design.

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MAAI’s data-engineering offerings cover the breadth of our client's needs, including emerging technologies, such as Hadoop and Amazon Redshift, that make large data-volume management affordable.

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We help our clients and guide them through the journey of building reliable data systems that can evolve as needs and data volumes grow.

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We handle large data volumes and processing requirements to deliver fast analytics to end-users.

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We provide a dimensional and data-warehouse design that collects and combines data from disparate systems.