In the world today, data is often considered the new oil because of what it can help businesses do. It has become a valuable asset for businesses and organizations of all sizes. While everyone knows the result of properly managed data, managing and securing it is a challenge many still face. This is where Big Data Governance comes into play.

As the world and businesses become increasingly data-driven, data quality is critical in making informed decisions. This means that the right people must be put in place to collect and analyze data for better decisions. Having a cross-functional data quality team is the first step in the right direction in achieving this. The right team ensures that the data collected, processed, and analyzed is accurate, complete, and relevant to the organization’s goals and objectives. However, if you have worked in a cross-functional team before- that is, a team that brings together individuals from different departments and areas of expertise- to collaborate and deliver high-quality data, you already know how challenging it can be to put together is not easy. Here is what a cross-functional team is and how to set up a good one for your organization.

With the number of devices increasing each day, the amount of data being generated is equally increasing at an unprecedented rate. The data from various sources come in various forms, such as social media posts, sensor data, and the internet. It is important to have systems that can process and analyze data in real-time if you are to make sense of this data. This is where we realize the importance of real-time stream processing. Here is the explanation of real-time processing and some strategies to create real-time processing and analysis of streaming data.