If you experience any troubles with your existing Spark-based solution or planning to implement one from scratch, our Spark consultants will be glad to share professional advice and help you at any stage of your project. Apache Spark services help build Spark-based big data solutions to process and analyze vast data volumes.
Nextbrick consultants bring in their deep knowledge of Apache Spark, as well as their hands-on experience with the framework to help you define your big data strategy.
With Nextbrick consultants, you’ll be able to better understand Apache Spark’s role within your data analytics architecture and find ways to get the most out of it.
Apache Spark can satisfy any of your analytical needs, while Nextbrick can develop your robust Spark-based solution.
Apache Spark is famous for its in-memory computations, and this area is the first candidate for improvement, as the memory is limited. Spark is an open source framework focused on interactive query, machine learning, and real-time workloads. Spark is so popular because it is faster compared to other big data tools with capabilities of more than 100 jobs for fitting Spark's in-memory model better. Sparks's in-memory processing saves a lot of time and makes it easier and efficient. Spark Infrastructure focuses on efficiencies to deliver electricity to customers.