How we helped a client process 1 PB of data everyday
In today’s data-driven world, having the right tools is everything. One of our clients, a large software company, was looking to gain a competitive edge by processing 1 petabyte of data every day. Their current system was unable to handle that amount of data, so they engaged us to build a new data pipeline.
We started by researching what we could do with petabytes of data. There wasn’t much information out there, but we found a few companies who had already built pipelines to process that amount of data in near-real-time. We decided to use the same pipeline and tools as them: Apache Kafka, Spark Streaming, and Cassandra .
The first thing we did was migrate their current database to Cassandra, which is optimized for storing large amounts of data. Then we used Kafka to build a real-time stream processing engine that could consume and analyze this massive amount of data in just seconds.
This new pipeline allowed the company to gain insights into their customers’ behavior in real time and make better business decisions based on this data.
We worked with them to design a solution that was tailored to their needs and that could handle the volume of data they need to process every day.
In the end, we helped them build a pipeline with the capacity to process 1 Petabyte of data per day—that’s 1 million GB!