Composable is an integrated, end-to-end platform for Data Discovery, Management and Analytics
Start Your PoCIt is an all data platform for data orchestration, automation and analytics, and includes built-in services and tools for machine learning that is capable of analyzing structured and unstructured data.
Composable uses a data-flow-based programming methodology, with a dataflow application consisting of modules and connections between the modules. Modules have inputs, perform an execution step, and then produce outputs. Modules are chained together using connections, with the dataflow representing an acyclic directed graph. The platform can systematically parallelize the entire application by analyzing the dependencies between the modules.
Ad-hoc analytics can go from an exploration phase immediately into an operational capability that can be executed and consumed using the robust and fault tolerant platform. This reduces the burden on production teams as developers no longer have to re-write business prototypes. There is no longer the need to build out web services, business object layers, and custom web interfaces. Composable provides an accelerated approach, allowing users to author web services and create dashboards to display the information quickly and easily.
While most systems have separate tools for extraction, transformation, loading, querying, visualization, and dissemination, Composable is an integrated end-to-end platform. Dataflow applications allow users to chain processing steps together, allowing for magnitude improvements in development efficiency and runtime performance. Users can develop workflows that fuse multiple web services together, move data into a data warehouse, or query and visualize information.
Administrators and users have the option to specify fine-grained access control on data, methods and results within Composable. This includes giving certain users and groups read, write, execute, clone, and discover permissions. Applications also allow users to share capabilities when raw line-level data is too sensitive, and users can execute and have access to higher level aggregated views.
Composable does not require users to model all their data before consumption. Nor does it require the users to develop adapters that siphon data into a single warehouse where it can be consumed (causing latency and duplication of data). Instead, dataflow application authors can push down queries for the information they specifically need to answer the question at hand. Results can be visualized in the form of plots, maps, tables, or data that can be consumed by another analytic.
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Composable’s mission is to enable every organization to become a digital master by adopting a disciplined and intelligent approach to Data Operations and Enterprise AI. The Composable DataOps Platform, built on years of technology development at MIT and the US Department of Defense, now enables leading organizations to build data-intensive Enterprise AI applications.
