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COMPOSABLE DATAOPS

A New Way To Work With Data

Composability to handle variability

Dataops Enterprise Platform

Thrive building and deploying data-intensive applications within multi-tiered environments

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Data-driven enterprises are recognizing that no matter how one defines “big data,” whether along the volume, variety or velocity axes, one simple definition is clear: big data means all data. That is, information may be available to an enterprise as numerical tables, unstructured text articles, images, or sound and video, and they must therefore be ready to operate on massive volumes of diverse, rapidly changing data sets.

Just as enterprises recognize the need for DevOps to ensure coordination between software developers and IT operations, there is now a strong need to support DataOps as coordination between data engineers, data scientists, and IT operations becomes more critical. Large investments are made into developing advanced analytical models, but enterprises only generate their returns on these investments when analytical models are operationalized and executed on in production.

Composable Enterprise is the industry’s leading Intelligent DataOps platform that offers a full portfolio of capabilities for orchestration, automation and analytics, ensuring that analytics can be rapidly deployed into business workflows.

End-to-end DataOps platform

with a modern data and compute architecture

Today, enterprises must leverage big data with infinite flexibility and at scale, to successfully address the 3 C’s of data management: Collection, Consolidation and Consumption. A modern Composable data architecture provides a framework for synthesizing disparate data sources, with the use of event-driven workflows and built in services for all the data plumbing, integration, processing, mastering and structuring of the data. Business users can now use ad-hoc, self-service analytics for data discovery and analysis, or external applications (CRMs, EPMs, etc.), without the time-consuming data preparation that is typically required.

Key features of a modern, composable data and compute architecture:

  • Embrace heterogeneity of diverse data, diverse platforms, and diverse technologies.
  • Best of breed technologies supporting business and technical needs.
  • Reduced operating costs with minimal infrastructure transformations.
  • Accelerated adoption with capabilities for self-service, data discovery and ad-hoc analytics.
  • Data, Metadata & Algorithms widely accessible.
  • Unanticipated Users and Use Cases fully supported.

A true insights engine for the enterprise

Composable Enterprise, the industry’s leading Intelligent DataOps platform, provides organizations with a core capability to build a true data-driven Insights Engine for the enterprise.

Organizations can now leverage all of their data for data-driven decision making. Data is an organization’s most valued asset, and organizations that are able to leverage their data have a clear competitive advantage. Too often, an approach based on cutting and pasting across un-synchronized tables in spreadsheets or even databases is still used for managing data – which is unsurprisingly extremely tedious, error-prone, and not cost effective. Insights are generally hard to extract in any reasonable amount of time.

Through a unified approach to data, regardless of the source, format or structure, a true Insights Engine can be built to generate actionable intelligence and support the decision-making process. Composable Enterprise is the data synthesis platform, an accelerator that is custom built for your enterprise, to automate data integration, data preparation and data discovery, ultimately delivering unified datasets and analytics that effectively generates valuable insights.