One of the defining characteristics of big data is that it is, well, BIG. And to leverage its library of critical information for business decision-making, your teams need the ability to acquire, process, and integrate data from various sources into your existing frameworks.

Developing a successful mobile app starts long before your teams write their first lines of code. It requires careful planning, and consideration of various factors that affect how well users and partners will respond to your new application.

What is the advantage of migrating multiple data sources to the cloud? Multi-source migrations help organizations form a Data Lake. An environment that supports application and analytics needs without increasing storage or computing demands, even as operations scale rapidly.

In the complex world of software development and deployment, the goal of end-to-end supply chain optimization needs constant improvements, which is easier said than done.

When you embark on a brand new business venture, you typically embrace the usage of fresh, innovative technologies. These inform and manage the operations, culture, and customer experiences that enable your startup to meet constantly-changing business and market requirements.

In the era of digital transformation, almost every industrial sector has embraced systems to modernize practices and processes to serve people better. Despite advances in science and medication, the healthcare industry has been lagging behind when it comes to digital transformation.

Tech companies are expected to keep up with the ever-changing market, trends, and emerging technologies on a near-continuous basis. The question is how? Read on to learn how in-house engineering teams can leverage outsourcing for support and scalability.

Virtualization brought in an unprecedented paradigm shift in cloud computing, and now we're seeing another shift with the emergence of the containerization.

As a 21st-century business, you’re likely relying on data to make key financial and operational decisions. However, to get valuable insights, your data science teams often need to pull data from different locations, including your CRM, ERP, SaaS platforms, and other internal databases.

The supply chain is a complex business function. In today's dynamic market where product life cycles are becoming shorter, freight rates are skyrocketing, and warehouses are getting clogged due to driver shortages, the complexity is increasing exponentially.