In software development since 1989 and in big data since 2013, ScienceSoft helps plan and build reliable and effective big data solutions and platforms.
NewVantage Big Data and AI Survey revealed that 99% of mid-size and large companies already use big data and 92% of them are planning to accelerate their investments in the coming years.
Traditionally, big data solutions are analytics-focused and aimed at driving informed decision making. Though the share of operational big data solutions is steadily growing in line with the need to process petabytes of XaaS users' data or enable IoT-driven automation.
Big data processing covers collecting, storing, and managing massive amounts of data (mostly in a semi- or unstructured form) that arrives from multiple sources. Big data processing stages include data ingestion into a data lake or a stream processing engine, data cleansing and transformation, and data loading into an analytics storage optimized for querying and reporting. Processed big data is used to derive insights (including real-time) and trigger immediate automated actions.