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Dataiku DSS

Name: Dataiku DSS
Rating: 4.5 (2 reviews)

By Dataiku

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Highlights : About Dataiku DSS

Governance and Security

Workflows Deployment

Data Mining

Data Wrangling

Models In Production

Data Visualization

About Dataiku DSS

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.

Specifications

24/7 Support

Yes

Business Size

Mid-Market

Deployments

Cloud

Language Support

English

Platforms

Product Details

Features

Connectivity

Machine Learning

Data Visualization

Models In Production

Code Or Click

Governance and Security

Data Wrangling

Data Mining

Data Flow

Workflows Deployment

Collaboration

Benefits

Converting raw data into useable

With Dataiku DSS, converting raw data into useable, real-time predictions requires only one interface from start to finish. Users can explore, wrangle, and prepare without worrying about issues regarding format, storage, accesibility, and the like. The platform boasts of more than 25 connectors, with the option to create your own. Users can access all kinds of data anytime – from big or small, structured or unstructured, internal or external.

Allows users to see the quality of data

Dataiku’s Quick Columns View allows users to see the quality of data in real-time – from duplicates and invalids, to completeness and accuracy, to distribution and outliers. Full statistical summaries are also provided with just one click.

Dataiku DSS has data preparation tools for fast and reliable advanced analytics and predictive modeling.

A spreadsheet type interface, plus automatically suggested contextual transformations, makes performing mass actions on data less tedious for everyone.

Retrieval is not a problem

Dataiku DSS as more than 90 built-in visual processors helps filter, search, and run code-free wrangling. Users may also customize solutions with business-specific and tailored transformation types. Formulas and Python scripts also allows custom processing.

Dataiku DSS Dashboards make it easy to create interactive charts and visualizations from datasets.

25 built-in chart formats – such ashistograms, to boxplots, to maps – allows drag-and-drop of data to automatically compute charts on existing Big Data infrastructure (SQL or Impala), thus resulting to optimal performance.

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