Ridgewood Corporate Square,
11900 N.E. 1st Street, Suite 300, Building G,
Bellevue, Washington 98005, United States of America.
Tel: +1 (425) 523-9362
Fax: +1 (302) 351-8845
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Dataiku DSS is a collaborative data science platform designed to help scientists, analysts, and engineers explore, prototype, build, and deliver their own data products with maximum efficiency.
The multi-deployment software has an all-in-one analytics and data science system that includes integrated coding and visual interface. This allows the use of notebooks such as R, Python, Hive, Spark, and more. A customizable drag and drop visual interface may also be used at any part of the predictive dataflow prototyping process – from wrangling, analysis, and modeling.
Data agnostic integration with over 30 data connectors and custom plugins extensions connect users to existing infrastructure. Dataiku DSS also detects data format and schema, and allows push computation to existing SQL, Hadoop, or Spark Infrastructure.
A visual profile of organizational data at each portion of an analysis allows users to interactively explore, prepare, enrich, blend, and clean data. The technology also leverages on Machine Learning such as Scikit-Learn, MLlib, XGboost, and more.
Dataiku DSS has a visual UI and tools to create and upgrade models in Python or R, for instant visual and statistical feedback on model performance. Production Deployment solutions bundle an entire workflow, while Monitoring and Version Control ensures that deployments run with proper data validation policies.
What is Plumbing Estimating Software?
Plumbing estimating software is used by plumbers, general contractors and other professionals who fix, renovate or maintain residential, commercial and industrial plumbing systems. What is unique about plumbing estimating software is that it has several features that are not found in other general estimating software platforms. For this reason, plumbing estimating software is much better suited for plumbers to use over other estimating applications.
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