Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, and information privacy.
Yottabyte Ltd. can help you wrangle your data, whatever the size.
We create big data platforms with Kakfa, Spark, Cassandra, Scala,and Python.
Kafka
Apache Kafka is an open-source stream-processing software platform that provides a unified, high-throughput, low-latency backbone for handling real-time data feeds.
Yottabyte Ltd. has experience designing and building data pipelines with Kafka, and developing high performance Kafka Streams applications to process that data in real time and provide near instantaneous insights.
Spark
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Yottabyte Ltd. has built both batch and streaming jobs with Apache Spark, and have processed hundreds of thousands of messages per second.
Cassandra
Apache Cassandra is a free and open-source distributed wide column store NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
Yottabyte Ltd. have experience modelling data to work well with Cassandra and have developed big data applications that can read and write tens of thousands of messages per second.
Scala
Scala combines object-oriented and functional programming in one concise, high-level language. Scala’s static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries.
Yottabyte Ltd. is great at using Scala to build your big data platforms.
