Over the last few years, the Internet has steadily undergone a shift from an unstructured web to a structured web. This has been referred to as Web Semantics. Web semantics aims to lead the evolution of the web, so that it can better answer research questions and combine data more efficiently in that context.
To gain a competitive advantage over their rivals, internet giants like Google, Yahoo!, eBay, Amazon and Twitter invented new tools & techniques to analyze data sets scaling to several petabytes. This started the revolution of Big Data and the ability to analyze massive data sets with admirable performance while simultaneously reducing the cost of equipment.
Many organizations are looking for a cloud-based solution for integrating batch and real-time data while keeping total costs and expenses to a minimum. Lambda Architecture is the answer to this problem. Lambda architecture provides a single framework to handle massive quantities of data. Lambda Architecture can be implemented on Amazon Web Services (AWS) to process large amounts of data and reduce any delay between data collection and availability in dashboards using Apache Spark.
Data visualization is a great way to create impactful reports, dashboards that improve decision making, better ad-hoc data analysis, improved information sharing, increased ROI, time saving and reduced burden on IT. Data Visualization is a critical component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence.