Introduction to the data and analytics journey

The online transaction processing (OLTP) and online analytical processing (OLAP) systems worked great by themselves for a very long time when data producers were limited, the volume of data was under control, and data was mostly structured in tabular format. The last 20 years have seen a seismic shift in the way new businesses and technologies have come up.

As the volume, velocity, and variety of data started to pick steam, data grew into big data and the data processing techniques needed a major rehaul. This gave rise to the Apache Hadoop framework, which changed the way big data was processed and stored. With more data, businesses wanted to get more descriptive and diagnostic analytics out of their data. At the same time, another technology was gaining rapid traction, which gave organizations hope that they could look ahead to the future and predict what may happen in advance so that they could take immediate actions to steer their...