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Big Data is not expected to slow down any time soon. Healthcare and Retail, IoT and Cloud, as well as data security and processing will be key drivers.

Key developments of the past decade in the big data space and predictions for the near future; from the early Hadoop era to the data lake and data fabric eras.

A new practical guide from WHISHWORKS to help developers design, implement, and deploy feature-rich APIs with MuleSoft’s Anypoint Platform and Mule 3

IoT presents immediate opportunities for the banking industry in three main areas: customer experience, product development and payments.

Located on 2 William Street in Windsor, the new WHISHWORKS office environment complements the company’s agile development process.

How Data Science systems differ from Business Intelligence (BI) systems in terms of flexibility, accessibility and functionality.

In the integration world the most successful systems integrations were achieved because they were based on the right discovery exercises.

Load balancing helps distribute data traffic. The following steps show how to set up a load balancer with Mule standalone servers.

In this blog we discuss the most common challenges with systems integration for IT in order to meet business requirements.

Key questions companies need to be able to answer before they go ahead with a digital transformation overhaul.

Businesses manage considerable amounts of data. What signifies whether these data are ‘big’ are the 3 Vs of Big Data -variety, velocity and volume.

MuleSoft provides the most widely used integration platform for any application, data service or API and it integrates with Microsoft Office-365 SharePoint