Data Factory

DataOps
MLOps
DevOps
VizOps
AIOps
TechOps

Data1
Data2
Data3
Data4

Maximize Business Value with Meaningful Data!
Enhance data analysis and presentation by RubiConnect changes how organizations discover, govern and collaborate across data and analytical assets. A robust data catalog combined with advanced analytics empowers all stakeholders to quickly find, manage, understand, and collaborate across departments.


Features	Functions
Multiple RDBMS support In-memory DB IoT Data support All types of file data No-SQL DB Hadoop Other Connectors like Google API Social Media Data from Twitter, Facebook, and many such platforms	EDGE Gateway API Management Application Connectors Data Pipeline Scheduling Connect to SaaS applications Integrate cloud infrastructure and services Empower business teams to connect with clicks, not code Data quality improvements Data enrichment and entity resolution Metadata Reading plugin Customizable plugins for a specific use-case

The Data Science of Everything.
Enhance data analysis and presentation by integrating devices, sensors, and applications.
Acquire data right from the source, thus, eliminating eliminate noise/errors.
Deploy ML at the edge to enable decisions in real-time near the source.


Features	Functions
Get actual raw data values to eliminate errors and noise Multi-protocol support Security token-based implementation Handle structured and unstructured data Message queue-based architecture for scalability CRC checking and handshake mechanism for complete and reliable communication Common pre-built connection libraries for various devices and protocols	Device Registration and Management for adding devices and selecting communication protocols and configuration parameters Data Management for defining data storage medium, configuration of communication packet, and selecting the data storage structure Intuitive dashboard that shows a hierarchy diagram, data communication statistics, and live data visualization Post-processing including data descriptive statistics, data wrangling, data modeling, and dashboards Pre-built seamless connectivity with workflow engine (RubiFlow) and notification channels for alerts and alarms

Devise Data and Workflow for a Seamless Collaboration!
Integrated Process Designer for Clean & Enriching Data!
Superior connectivity & data access.
Build and manage data flows with a visual, end-to-end event-based Orchestrator.
Powerful, easy-to-use UI to support collaboration, process reuse & standard metadata.


Features	Functions
Data management processes with a visual, end-to-end designer. Data access engines for enterprise applications, non-relational databases, RDBMS, data warehouse appliances, PC file formats, and more Consistent metadata management Institutionalized data quality in profiling operational data Easy creation of data warehouses, data marts, or BI and analytic data stores. Enhanced administration to manage & monitor integration environments, jobs, and activities	Data Pipelines Data Architecture Data Configuration Data Governance Data Modelling Data Orchestration engine Comprehensive Data Transformation techniques like Concatenation, Feature Generation, and Feature Selection Multiple Data Orchestration tasks for Workbook, Workflow, and Dashboards Label Encoding Normalization Principal Component Analysis Regularization/Standardization Univariate Feature Selection Data Partitioning Sequence Generation Reusable custom codes

Convert Database Terminologies into Business Terminologies!
Manage Data Access and Security.
Manage metadata like never before.
Combine the runtime of multiple data sources.
Business layer display of all data-dictionary columns and hierarchies


Features	Functions
Multiple RDBMS support In-memory DB IoT Data support All types of File Data No-SQL DB Hadoop Other Connectors like Google API Social Media Data from Twitter, Facebook, and many such platforms Names of datasets & data type for each column in the data preview section Customizable metadata tree views to display, visualize, and understand metadata. Metadata-driven access to sources and targets.	Transform dataset using power query editor. Calculated field, its indication & its crud operations – on dataset & data-dictionary level. Promotion and replication of metadata across development, test, and production environments. Default aggregation type display for each column Overall relationships/conditions/joins list Extra Joiner card between the two datasets cards

Personas – Data Managers

Data Managers

Data Managers are those Data Professionals who formulate and implement policies to establish an efficient and secure data management. They envision new management techniques to collect data that is precise, accurate, adequate and well-founded.
Data Managers create and/or modify algorithms that can obtain information from large databases without changing the data.
They are the visionaries who are responsible for building enormous reservoirs for big data and have a constant desire to deep dive into diverse data to come out with innovation and insights.

Use Cases

Join Rubiscape Community

Our Envisioned Personas for Data Managers

Data Architect Data Steward

Product Family

See All Cases

Learn Data ops

Objective
Model, summarize and visualize data by handling various tasks involving data wrangling, visualization,and processing large amounts of data.

Knowledge Map

Big data infrastructure, machine learning, data mining, and statistical pattern recognition.
Application of learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining
Best practices in machine learning

Certiﬁcation Code: RS_ML_RML

Learning Path

Data1
Data2
Data3
Data4

Effortlessly build Analytical Models with a Visual Designer!
No-code, Low-code, and Drag-and-drop visual model-builder
Build, train-test-deploy, publish, and manage multiple RubiModel versions
Integrate Python & R-based models and custom coding


Features	Functions
Python and R support for custom coding Model validation and drift over time Create lift table for interval and categorical targets Flexibility to choose a specific or default model version Build a robust model by leveraging advanced configurations for each algorithm Publish & reuse the selected models Maintain multiple versions of models	Analytics Engineering Pipeline Data Exploration Statistical Analysis & Hypothesis Testing Data Pre-processing Data Wrangling Model Development & Life cycle Model Engineering Model Training Model Experimentation Model Monitoring Regression Classification Clustering Anomaly detection

Boost your Analytical Creativity with coherent Predictive Models!
Wizard-like interface for quick, simple models/predictors
Compare multiple algorithms for supervised and unsupervised tasks.
Get instant insights and assess model performance through detailed metrics.Augmented Machine Learning – AutoML


Features	Functions
Instant insights from your data Clean and enrich data interactively Supports multiple types of profiling Web-based development environment for programming Deployment to Production in one click API powered support for your apps Create, train & deploy advanced custom ML models Sophisticated and thorough model assessment Deep Learning at your fingertips Highly scalable, distributed analytical processing Enterprise level security with fine-grained access rights	Classification, Clustering & Regression Algorithms Anomaly detection Multiple types of statistical analysis like anomaly detection, correlation, descriptive and inferential statistics Data Wrangling functions like Label Encoder, Normalization, and PCA Rare events detection and handling Template Table and Template File functionality Multiple sampling types Deep Learning Support Vertical and horizontal autoscaling, also up and down autoscaling for sudden workloads GPU-based scale model training Support for Keras and Tensorflow backend, integrated with Tensorboard

Efficiently Generate Scientific Forecasts!
Be future-ready. Streamline and automate the forecasting process!.No manual intervention. Seamlessly explore and analyze the time series data.
Visualize insights over time and deploy models to production!.Incorporate forecasting as an ongoing & repeated process into the organization’s planning workflow!


Features	Functions
Easy-to-use GUI New Project wizard to generate automatic forecasts in batch Scalability and modeling options to choose the level of forecasting automation Automated time-series feature engineering to discover predictive signals Time-series characterization Segmentation of the data into subsets Structural manipulation of the collective time-series (hierarchy exploration)	Time-series Forecasting Data management services like data accumulation, selecting timed intervals, and start and end dates Time-series Visualization – Decomposition plots Modeling using ARIMA, Auto ARIMA, Seasonal ARIMA, LSTM, Exponential Smoothing, and many more algorithms Time-series diagnosis using Auto-correlation Function Plots Post- and pre-processing functionalities Smoothening methods

Extract Deeper Insights from Textual Data!
RubiText is a set of linguistic, statistical, and ML techniques such as Word Frequency Analysis, Pattern Recognition, Tagging/Annotation, Information Extraction, Link & Association Analysis, and Predictions. Such methods can make a more profound sense of your textual data and deliver insights for effective decision-making.


Features	Functions
High performance text mining procedures Term Profiling User-friendly flexible interface Integrated document filtering Visual analysis of results Interactive text importing interface Document-level sentiment insights Sophisticated dimension reduction techniques Advanced filtering through weighting Integrated spell checking Transformation of qualitative data into compact formats	Text Mining Textual Analytics Textual pre-processing like Speech Tagging, Stemming, Lemmatization and Tokenization Text Vectorization consisting of Count Vectorizer and TF-IDF Frequency Analysis including Collocations, Advanced Entity and Relation Extraction Sentiment Detection using basic sentiment analysis Text Classification algorithms like Naïve Bayes, Maximum Entropy and SVM Text Clustering algorithms based on centroid, density, hierarchy and incremental learning Corpus/Dictionary Management for sentiment polarity and stop-word corpus

Personas – Data Consumers

Data Consumers

Those who turn raw data into meaningful information and deep insights can be called the ‘alchemists’ of the 21st century. Data consumers are mathematicians who use statistics, logical mindset, and insights to transform businesses. With a keen eye for the quality of data, they are highly sensitive towards its practical application.

Use Cases

Join Rubiscape Community

Our Envisioned Personas for Data Consumers

Data Scientist Statistician

Product Family

See all Use Cases

Learn MLOps

Objective
Model, summarize, and visualize data by handling various tasks involving data wrangling, visualization, and processing large amounts of data.

Knowledge Map

Big data infrastructure, machine learning, data mining, and statistical pattern recognition.
Application of learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining
Best practices in machine learning

Certiﬁcation Code: RS_ML_RML

Learning Path

Dev OPS 2
Dev OPS 1
Dev OPS 3

Effortlessly build Analytical Models with a Visual Designer!
No-code, Low-code, and Drag-and-drop visual model-builder Build, train-test-deploy, publish, and manage multiple RubiModel versions Integrate Python & R-based models and custom coding


Features	Functions
Python and R support for custom coding Model Validation and drift over time Create lift table for interval and categorical target Flexibility to choose specific or a default model version Make your model robust and leverage advanced configurations for each algorithm Publish & reuse the selected models Maintain multiple versions of models with flexibility to choose specific or a default version Leverage advanced configurations for each algorithm	Analytics Engineering Pipeline Data Exploration Statistical Analysis & Hypothesis Testing Data Pre-processing Data Wrangling Model Development & Life cycle Model Engineering Model Training Model Experimentation Model Monitoring Regression Classification Clustering Anomaly detection

Rapidly Create and Present Visual Data Stories!
Quickly create dashboards for any subject area Collaborate effectively while making a decision Present your data smartly using a plethora of customizable widgets Deliver a consistent UX by controlling Brand and Design RubiSight is an easy-to-use solution that requires minimal training.


Features	Functions
Import data from a variety of sources Intuitive, point-and-click interface for data exploration Create data visualizations using a simple drag-and-drop Detect and flag patterns and outliers Auto-charting Collaborate and share data, content, and other resources with project colleagues Use RubiSight across Desktop and Mobile Location Analytics Security & Administration Rubiscape Smart Caching	Data Storyboards What-if Analysis Information collaboration Dashboard Design and Development Report Development Dashboard and Report delivery to end-user Chart Framework to add annotations, cascading filters, chart formatting, data highlighting, data filtering, grouping, and sorting Export Dashboards as Excel/CSV files, print them or save as PDF Dashboard interaction such as Caching, report comments, drilling on reports, interactivity dashboards, etc. Dashboard navigation using hyperlink Variety of tables and charts

Build and Develop Innovative Applications!
Build apps without prior App Programming and Software knowledge
No-code functionality to design app with visual interface
Simple drag-and-drop interface for app building
Automated publishing to App Store and Google Play

Personas – DevOps Experts

DevOps Experts

DevOps Experts are Data Specialists who are the best collaborators and communicators in the data-driven organizations. They combine human and operational resources to technology with the aim of offering the best data products and services.
They are responsible for safeguarding the data health of the entire organization, right from envisioning the inceptive strategy, implementing the strategy for the patronage of data by all types of consumers. They are responsible for creating data policies, operational processes and technology from the perspective of the end user and also meet the business objectives.

Use Cases

Join Rubiscape Community

Our Envisioned Personas for DevOps Experts

Application Developer System Integrator

Product Family

See all Use Cases

Learn DevOps

Objective
Model, summarize, and visualize data by handling various tasks involving data wrangling, visualization, and processing large amounts of data.

Knowledge Map

Big data infrastructure, machine learning, data mining, and statistical pattern recognition.
Application of learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining
Best practices in machine learning

Certiﬁcation Code: RS_ML_RML

Learning Path

Viz OPS
Viz OPS 2
Viz OPS 3

Rapidly Create and Present Visual Data Stories!
Quickly create dashboards for any subject area
Collaborate effectively while making a decision
Present your data smartly using a plethora of customizable widgets
Deliver a consistent UX by controlling Brand and Design
An easy-to-use solution that requires minimal training


Features	Functions
Import data from a variety of sources Intuitive, point-and-click interface for data exploration Create data visualizations using a simple drag-and-drop Detect and flag patterns and outliers Auto-charting Collaborate and share data, content, and other resources with project colleagues Use RubiSight across Desktop and Mobile Location Analytics Security & Administration Rubiscape Smart Caching	Data Storyboards What-if Analysis Information collaboration Dashboard Design and Development Report Development Dashboard and Report delivery to end-user Chart Framework to add annotations, cascading filters, chart formatting, data highlighting, data filtering, grouping, and sorting Export Dashboards as Excel/CSV files, print them or save as PDF Dashboard interaction such as Caching, report comments, drilling on reports, interactivity dashboards, etc. Dashboard navigation using hyperlink Variety of tables and charts

Convert Database Terminologies into Business Terminologies!
Manage Data Access and Security.
Manage metadata like never before.
Combine the runtime of multiple data sources.
Business layer display of all data-dictionary columns and hierarchies


Features	Functions
Multiple RDBMS support In-memory DB IoT Data support All types of File Data No-SQL DB Hadoop Other Connectors like Google API Social Media Data from Twitter, Facebook, and many such platforms Names of datasets & data type for each column in the data preview section Customizable metadata tree views to display, visualize, and understand metadata. Metadata-driven access to sources and targets.	Transform dataset using power query editor. Calculated field, its indication & its crud operations – on dataset & data-dictionary level. Promotion and replication of metadata across development, test, and production environments. Default aggregation type display for each column Overall relationships/conditions/joins list Extra Joiner card between the two datasets cards

Devise Data and Workflow for a Seamless Collaboration!
Integrated Process Designer for Clean & Enriching Data!
Superior connectivity & data access.
Build and manage data flows with a visual, end-to-end event-based Orchestrator.
Powerful, easy-to-use UI to support collaboration, process reuse & standard metadata.


Features	Functions
Data management processes with a visual, end-to-end designer. Data access engines for enterprise applications, non-relational databases, RDBMS, data warehouse appliances, PC file formats, and more Consistent metadata management Institutionalized data quality in profiling operational data Easy creation of data warehouses, data marts, or BI and analytic data stores. Enhanced administration to manage & monitor integration environments, jobs, and activities	Data Pipelines Data Architecture Data Configuration Data Governance Data Modelling Data Orchestration engine Comprehensive Data Transformation techniques like Concatenation, Feature Generation, and Feature Selection Multiple Data Orchestration tasks for Workbook, Workflow, and Dashboards Label Encoding Normalization Principal Component Analysis Regularization/Standardization Univariate Feature Selection Data Partitioning Sequence Generation Reusable custom codes

Personas – Data Visualizers

Data Visualizers

Data Visualizers are Data Visionaries who can process complex giant data and present it in the form of the most innovative and unprecedented visualizations. They curate data to convert them into data stories that are easy to understand and contain insights and highlighted trends.
Users who practice data-focused decision-making over gut feeling aim to disrupt the market with creative thinking and innovative ideas. Experienced data wranglers who model, summarize, and visualize data by handling various tasks involving data wrangling, visualization, and processing large amounts of data for reaping maximum business benefits.
They quickly build attractive and meaningful visualizations to facilitate the slicing and dicing of data. Data Visualizers beautifully plot the available information in various types of charts and graphs to make attractive, efficient, and meaningful storyboards.

Use Cases

Join Rubiscape Community

Our Envisioned Personas for Data Visualizers

Decision Maker Business Analyst

Product Family

See all Use Cases

Learn VizOps

Objective
Model, summarize, and visualize data by handling various tasks involving data wrangling, visualization, and processing large amounts of data.

Knowledge Map

Big data infrastructure, machine learning, data mining, and statistical pattern recognition.
Application of learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining
Best practices in machine learning

Certiﬁcation Code: RS_ML_RML

Learning Path

Al OPS 1
Al OPS 2
Al OPS 3

The Data Science of Everything.
Enhance data analysis and presentation by integrating devices, sensors, and applications.
Acquire data right from the source, thus, eliminating eliminate noise/errors.
Deploy ML at the edge to enable decisions in real-time near the source.


Features	Functions
Get actual raw data values to eliminate errors and noise Multi-protocol support Security token-based implementation Handle structured and unstructured data Message queue-based architecture for scalability CRC checking and handshake mechanism for complete and reliable communication Common pre-built connection libraries for various devices and protocols	Device Registration and Management for adding devices and selecting communication protocols and configuration parameters Data Management for defining data storage medium, configuration of communication packet, and selecting the data storage structure Intuitive dashboard that shows a hierarchy diagram, data communication statistics, and live data visualization Post-processing including data descriptive statistics, data wrangling, data modeling, and dashboards Pre-built seamless connectivity with workflow engine (RubiFlow) and notification channels for alerts and alarms

Upcoming

Build and Develop Innovative Applications!
Expertly prebuild models for image and video analysis
Create, test, deploy and maintain your recognition and segmentation applications instantly
Interactive image and video data exploration
Automatically tune analysis model parameters

Coming soon

Personas – AI Experts

AI Experts

AI Experts are the most brilliance masterminds who revolutionize the field of Artificial Intelligence. They strive to construct a data framework free of bottlenecks, accelerate AI workloads and enable smooth integration of data on the cloud.
AI experts are catalysts who integrate analytics insights into workflows and decision-making with artificial intelligence engineering. They implement standard ML algorithms such as clustering, classification and perform A/B testing, build data pipelines, and many more interesting operations. They construct, develop, test and maintain architectures such as large-scale data processing systems to boost the performance of the databases.

Use Cases

Join Rubiscape Community

Our Envisioned Personas for AI Experts

AI Engineer Computer Vision Engineer

Product Family

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Learn AIOps

Objective
Model, summarize, and visualize data by handling various tasks involving data wrangling, visualization, and processing large amounts of data.

Knowledge Map

Big data infrastructure, machine learning, data mining, and statistical pattern recognition.
Application of learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining
Best practices in machine learning

Certiﬁcation Code: RS_ML_RML

Learning Path

Tech OPS 1

Coming soon

Personas – Cloud Experts

Cloud Experts

Cloud Experts are Data Vigilantes who are responsible for a robust surveillance of all cloud activities. Their responsibilities include planning, designing, maintaining, managing, and supporting all cloud-related technologies and operations. Armed with Administration and Security expertise, they are the insurers of data security by establishing encryption mechanisms, secure information security and data access policies, sound networking practices within and outside the organization.

Use Cases

Join Rubiscape Community

Our Envisioned Personas for Cloud Experts

Security Expert Administrator

Product Family

See all Use Cases

Learn TechOps

Objective
Model, summarize, and visualize data by handling various tasks involving data wrangling, visualization, and processing large amounts of data.

Knowledge Map

Big data infrastructure, machine learning, data mining, and statistical pattern recognition.
Application of learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining
Best practices in machine learning

Certiﬁcation Code: RS_ML_RML

Learning Path

Persona Group - Cloud Experts

Cloud Experts

Cloud Experts are Data Vigilantes who are responsible for a robust surveillance of all cloud activities. Their responsibilities include planning, designing, maintaining, managing, and supporting all cloud-related technologies and operations. Armed with Administration and Security expertise, they are the insurers of data security by establishing encryption mechanisms, secure information security and data access policies, sound networking practices within and outside the organization.

Use Cases

Join Rubiscape Community

Our Envisioned Personas for Data Consumers

Security Expert

Administrator

See all Use Cases