Big data is a set of approaches, tools and methods for processing huge volumes of structured and unstructured data to obtain human-readable results.
Big data is a set of approaches, tools and methods for processing structured and unstructured data of huge volumes and significant diversity to obtain human-perceived results that are effective in conditions of continuous growth, distribution over numerous nodes of a computer network. Big data solutions are a smarter alternative to traditional database management systems and Business Intelligence solutions.
Softarex engineers have extensive experience in designing and developing big data systems for various industries such as Healthcare, Manufacturing and Energy, Banking and Finances. Read more>>
Stages of big data solutions development:
Main principles of working with Big Data
Any system processing big data must be scalable
If any of the machines in the cluster fails, the whole system will continue to work.
Locality of data
Since in large distributed systems, data are spread across multiple compute nodes and data storage, data should be processed on the machine where they are stored.
Hadoop, Python, Scala, Spark
AWS, Google Cloud, Microsoft Azure, Heroku, Kafka
MongoDB, Cassandra, Redis