Big data has experienced exponential growth in recent decades, from 1 billion URLs indexed by Google in 2000 to 1 trillion unique URLs indexed in 2008. This unprecedented growth of accessible data is driven by factors like increased internet usage and the rise of social media. While big data was initially only accessible to large companies, open source tools now make it accessible to more organizations. These tools provide scalable and cost-effective solutions for storage, processing, and analytics of large datasets. Examples include Hadoop, MongoDB, and Apache Drill. Looking ahead, big data solutions will need to continue adapting to the growing volume, variety, and velocity of data through new architectures, agile development practices, and cloud computing.