Abstract Big Data has revolutionized how organizations across industries handle vast quantities of information, enabling valuable insights that can drive business growth. However, with these advancements come numerous challenges, including …
Big Data – Visualization Tools
Traditional tools in data visualization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interact with the data. Patterns …
Predictive Analytics Vs. Prescriptive Analytics
Predictive Analytics Predictive Analytics is the sub-field of Supervised Learning where users attempt to model data elements and predict future outcomes through evaluation of probability estimates. Rooted deeply in mathematics …
Big Data Characterized in terms of V’s
Volume: Refers to the amount of data. Big Data often has thousands of entities or elements in billions of records. Velocity: Refers to the speed at which data is captured, …
Data Science – Process and Iterative Phases
The Data Science process follows the scientific method of refining knowledge by making observations, formulating and testing hypotheses, observing results, and formulating general theories that explain results. Within Data Science, …
Data Science – Dependency
Developing Data Science solutions involves the iterative inclusion of data sources into models that develop insights. Data Science depends on: Rich Data Sources: Data with the potential to show otherwise …
Big Data and Data Science – A Glance
Big Data is produced through email, social media, online orders, and even online video games. Data is generated not only by phones and point-of-sale devices, but also by surveillance systems, …
Data Quality – Incident Tracking System
The incident tracking system will collect performance data relating to issue resolution, work assignments, volume of issues, frequency of occurrence, as well as the time to respond, diagnose, plan a …
Data Engineers Vs. Data Scientists
Data Science is a multidisciplinary field of study that combines advanced Mathematics, Statistical Analysis, Computer Science, Information Science, and Business Domain Knowledge. Data Science has existed for a long time; …