Big Data, Cloud & DevOps

It is important to note that both Big Data and Cloud Computing play a huge role in our digital society. The two linked together allow people with great ideas but limited resources a chance at business success. They also allow established businesses to utilize data that they collect but previously had no way of analyzing.

One of the main motivations for cloud computing is that it gets rid of all the problematics associated with setting up and managing the used hardware and software.

Thanks to the digital transformation driven by disruptive technologies like AI and Big Data, the eCommerce landscape is rapidly evolving to cater to the changing customer needs and behavior. Here is how technologies like AI, Big Data, and Data Analytics can transform the eCommerce landscape:.

The article explains two high-end Cloud data storage technologies, namely, Data Lake and Data Warehouse. The purpose of this post is to compare the differences and capabilities of Data Lakes and Data Warehouses to help businesses make the right decision on selecting the right technology.

To be successful, the transformational CISO needs to be – first and foremost – a leader with a good business brain. Not just a firefighting technologist.

Here is a quick overview of what you need to know about Microsoft Azure before applying this cloud computing platform to your organization.

Business intelligence (BI) tools help companies collect, analyze, monitor and predict all sorts of business scenarios. Look at some of the best tools for business intelligence and highlight their standout features.

In today’s unparalleled era of disruption, forward-thinking CISOs can become key to company transformation — but this means resetting relationships with the board and C-suite.

Companies are aware that they need to have a sound data governance framework if they want to have readily available, relevant and high-quality data for their projects. But when drafting a data governance policy, they don’t know how much data governance is enough.

To spearhead the Digital Revolution, companies must take a customer-oriented approach, focus on agility, use Big Data to drive real-time decisions, and strengthen the IT/Cybersecurity infrastructure.
This is precisely how digital transformation can make one of the biggest economies by 2030.

The term Big Data has initially been coined to describe a problem: we are generating more data than we can actually process. After years of research and technology advancements, Big Data is instead now seen as an opportunity. Thanks to Big Data recent advancements in Artificial Intelligence and Deep Learning have been possible, enabling machines to perform tasks which seemed to be impossible to perform just a few years ago.