Name: Tutorial Part 5: Visual Data Computing
Uploaded: 2022-01-12T20:54:13.000Z
Duration: 9 min 45 s
Description: Einblick Tutorial - Visual Data Computing

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Transcription

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Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.

Posit

Data Science

Platform Connectivity

Data Exploration

Data Preparation

Platform Data Modeling

Model Deployment

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

Visualization

Interactive Data Analysis

Interactive Data Cleaning and Enrichment

Data Transformations

Multiple Model Development Languages and Tools

Single platform for multiple model development

Self-Service Model Delivery

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Posit (formerly RStudio)

RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer.  RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.

Professional

AI Hub

RapidMiner

MDM Integration

Data Encryption

Built-in Processors

Automated Machine Learning

Altair Engineering, Inc.

KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

KNIME Community Hub - Individual

KNIME Community Hub - Team

KNIME Analytics Platform

KNIME

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Anaconda

Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for Jupyter notebooks, code, and data, with a configurable user interface that supports a wide range of workflows in data science, scientific computing, and machine learning.

Jupyter Notebook

Open Source

IBM Watson Studio on Cloud Pak for Data

IBM Data Science Experience (DSx) IBM Watson Studio IBM Watson Studio on Cloud Pak for Data

DataRobot

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Saturn Cloud

IBM SPSS Modeler

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Databricks Lakehouse Platform

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Google BigQuery

PostgreSQL

Einblick is a visual data computing platform that provides a way for organizations to understand the past, predict the future and make the best data-driven decisions for their business. Its AutoML is focused on helping users to create explainable predictions and identify key drivers without fuss. Einblick also provides real-time collaboration tools.

Plus

Team

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Enterprise - SaaS

MatLab is  a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.

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Home

MATLAB

Predictive Analytics

MathWorks

Einblick.ai

einblick demo

Einblick Analytics Inc

Introduction to Einblick

Spend 5 minutes with us while we show how teams can collaborate on their data problems and solve them together with powerful tools embedded onto an unbounded canvas.

Tutorial Part 1: Introduction

Tutorial Part 2: Charts

Tutorial Part 3: Tables

Einblick Tutorial - Querying Data Visually

Tutorial Part 4: Querying Data Visually

Einblick Tutorial - Visual Data Computing

Tutorial Part 5: Visual Data Computing

Ability to connect to a wide variety of data sources

Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion

Use R or Python to create custom connectors for any APIs or databases

Automatic detection of data formats and schemas

Integration with MDM and metadata dictionaries

Ability to explore data and develop insights

The product’s support and tooling for analysis and visualization of data.

Ability to analyze data interactively using Python or R Notebooks

Access to visual processors for data wrangling

Use visual tools for standard transformations

Library of processors for data quality checks

Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.

Tools to help automate algorithm development

Single place to build, validate, deliver, and monitor many different models

Multiple model delivery modes to comply with existing workflows

Tools for deploying models into production

Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.

Built-in controls to mitigate compliance and audit risk with user activity tracking

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TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

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Deployment Types	On-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating Systems	Kubernetes
Mobile Application	No

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$9

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$100

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$3600

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