The rise and fall of Hadoop

Hadoop, an open source software framework for data storage, gained popularity in the early 2000s as it allowed companies to collect and store large data sets. However, challenges arose as data grew faster than the infrastructure could scale, rendering Hadoop less efficient. Today, Hadoop is still present but mostly consumed as a service, with cloud-native services utilizing its capabilities. The conversation around Hadoop has shifted from storage to what can be done with the data, highlighting the importance of understanding the value and purpose of collected data. Though Hadoop's implementation has declined, technologists can still benefit from understanding its capabilities, but should focus on their passions and stay curious about emerging technologies.