Name: Yellowbrick Data Warehouse
Rating: 10 (2 reviews)
Author: Yellowbrick Data, Inc.

Customer Success Management Training

Help Desk

Web and Video Conferencing

Customer Support

Augmented Reality Development

Development

Academic Advising

Education

Board Management

Business Intelligence (BI)

Collaboration

Contract Management

Corporate Social Responsibility (CSR)

Desktop Publishing

Enhanced 911 (E911)

Environmental Health and Safety (EHS)

Manufacturing Execution

Project Portfolio Management

Enterprise

Accounting

Investor Relations

Merger and Acquisition

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Access Gateways

Build Automation

Cloud Storage

Continuous Delivery

Converged Infrastructure

Data Center Cooling

Data Fabric

Fraud Detection

Integration Platform as a Service (iPaaS)

Managed File Transfer (MFT)

Mobile Device Management (MDM)

Network Behavior Analysis

Network Performance Monitoring

Threat Intelligence

Value-Added Resellers (VARs)

Workload Automation

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Audience Engagement

Audio Editing

Content Management

Email Marketing

Gamification

Local Marketing

Marketing Automation

Press Release Management

Product Information Management (PIM)

Screen and Video Capture

Search Engine Marketing (SEM)

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Proposal

Quote to Cash

Sales Coaching

Sales

Cloud Infrastructure Entitlement Management

Security

Apparel

Chargeback Management

Dental

Financial Services CRM

ID Card

Internet of Medical Things

Nonprofit Fundraising

Oil and Gas

Vertical-Specific

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Yellowbrick Data is a distributed data warehousing cloud, a mesh of interconnected resources (private data centers, public clouds, and edge networks) that are managed in a unified way.

Yellowbrick Data helps enterprises provision and manage their data warehouses and delivers the data analytics necessary to make informed business decisions.

STANDARD (For public clouds or data centers)

ENTERPRISE (For enterprise use cases In public clouds or data centers )

ENTERPRISE + (For compliance In public clouds or data centers)

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business.

Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

Teradata VantageCloud Lake

Teradata VantageCloud Enterprise

DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

Db2 Standard Edition

Db2 Advanced Edition

Db2 on Cloud Standard

Db2 on Cloud Enterprise

Db2 Warehouse on Cloud Flex One

Db2 Warehouse on Cloud Flex

Db2 Warehouse on Cloud Flex Performance

Db2 Warehouse on Cloud Flex for AWS

Db2 Warehouse on Cloud Flex Performance for AWS

Db2 on Cloud Lite

Yellowbrick Data Warehouse

A Data Warehouse Appliance (DWA) is generally a pre-configured architecture specifically dedicated to big data analytics and as such emphasizes simplicity, focus, and high performance with data over general computational needs.

Data Warehouse

<p>Yellowbrick Data was founded in 2014 by experts in database and flash memory technologies to simplify data warehousing. They wanted to solve the challenges of high availability, running complex mixed workloads, support for ad-hoc SQL, computing correct answers on any schema, massive scalability and supporting large numbers of concurrent users.</p><p>Yellowbrick Data helps companies use their data to make faster decisions. Built for enterprises and the hybrid cloud, the Yellowbrick Data Warehouse deploys powerful analytics anywhere, with best-in-class economics.</p>

Yellowbrick Data, Inc.

A data warehouse is usually a relational database, designed specifically for data analysis instead of standard transactional processing

High-Volume Data Processing

The product's ability to efficiently process large amounts of data.

Data Warehouse Management

The effectiveness of the product’s tools for loading, transforming, sharing, and exploring data, schemas, and dependencies.

Administrative Automation

The product’s capacity to automate administrative tasks such as patching, scaling, and creating backups.

Self-Optimization

The product’s capability to monitor and adjust internal metrics and systems to keep performance as high as possible.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Data Exploration

Ability to explore data and develop insights

Visualization

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

Data Security

Tools and features that help keep data secure from unauthorized access or internal exposure.

At-Rest Data Encryption

Data at rest is encrypted, requiring decryption to read the underlying data.

In-Transit Data Encryption

Data is transmitted in an encrypted state, preventing interception of raw in-flight data.

In-Use Data Encryption

Data remains encrypted even when stored in non-persistent storage (RAM, CPU caches, and CPU registers). This prevents access to data through malware on an individual device.

Data Redaction

The product's capability to return redacted data in place of actual data when queried. For instance, a redacted query for the phone number 555-5555 could return ***-**55.

Data Masking

The product's capability to use real data to create false data with an identical structure. For instance, this could be used to generate testing data or training data that reflects the data structure without exposing sensitive information.

Access Control and Security

Access control means being able to determine who has access to which data.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Single Sign-On (SSO)

Allows users to use one set of login credentials to access multiple applications

Location-Based Data Governance

Refers to how well the software enables users to comply with data privacy standards regarding the use of precise location data for customers.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

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Yellowbrick Data Warehouse

Overview

What is Yellowbrick Data Warehouse?