Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers wait to receive insights. One way to skip the wait, and deliver data directly to end-users, is by creating an internal Data-as-a-Service (DaaS) model, enabling access to enterprise data no…

Use of the cloud has grown significantly. Cloud computing has become so popular, many startups are taking a “cloud-first” approach (the deliberate practice of considering use of the cloud first). The cloud offers tools, data, and scalable computing power that would be difficult to access in other ways. Cloud architecture, whether it be public, private, or hybrid, is the most cost effective and efficient means of scaling, both horizontally and…

The Internet of Things (IoT) describes an interconnected network of physical and digital devices, sensors, mechanical components, and communication protocols with the ability to transfer and exchange data machine-to-machine or machine-to-interactions. The serverless computing model is cloud-based and all its resources are managed by the service provider. The client is charged based on the consumption of particular applications. Serverless is widely offered as Infrastructure as a Service (IaaS). Cloud and…

New opportunities are emerging for enterprise architects (EAs). EAs will work in conjunction with technology innovation leaders to help their organizations select, create, and implement the right business- and technology-based platforms to support their business ecosystems. “By 2021, 40 percent of organizations will use enterprise architecture to help ideate new business innovations made possible by emerging technologies,” says Gartner. The tools and techniques of enterprise architecture will still be used,…

Artificial intelligence (AI), encompasses the broad fields of data capture, data storage, data preparation, and advanced data analytics technologies. In other words, AI systems are not limited to a single aspect of Data Management; rather, they are increasingly penetrating any and every aspect of business through allied data technologies like machine learning (ML), deep learning, (DL), neural networks, natural language processing (NLP), and others. Every day, organizations are experiencing some…

A document database (sometimes referred to as a “document store” or a “document-oriented database”), is a NoSQL or non-relational database. But, document databases use an index to associate “keys” with “documents,” making it more efficient at retrieving data. Unlike relational databases, document databases are not structured with a format of rows and columns, but scale horizontally. A major strength of document databases is their streamlining ability, allowing developers to work…