From incorporating the modern data stack to defining IT's role and evaluating business objectives, building a data framework for an organization is a complex and unique process for every ...

View data as a shared asset. A modern data architecture needs to eliminate departmental data silos and give all stakeholders a complete view of the company: 360 degrees of customer insights and ...

Join us for a special roundtable webinar on February 7th to dive into the top trends in modern data architecture for 2019. From AI and machine learning, to data discovery and real-time analytics, a ...

Modernising data architecture allows businesses to realise the full value of their unique data assets, create insights faster through AI-based data engineering, and even unlock the value of legacy ...

Finding and retaining the right talents for modern data platforms, such as data engineers, data scientists and machine learning experts. 4. Higher cost of integration with relatively low ROI.

“There needs to be a cloud-based, centralized data lake architecture to store and manage all the structured, semi-structured and unstructured data across the organization,” he says. Iqbal outlines ...