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What is Mastech InfoTrellis?

Mastech InfoTrellis specializes in delivering Digital Transformation services that enable businesses to reveal crucial insights relevant to their operations through the implementation of Enterprise Knowledge Graphs. By employing techniques like Ontologies and Machine Intelligence, we support organizations in transforming their data into a more flexible resource while simplifying the organization of complex business ideas. This strategy not only improves the accessibility of data but also cultivates a richer comprehension of the complex interconnections that exist within their workflows, ultimately driving better decision-making and operational efficiency.

What is DataOps.live?

Design a scalable framework that prioritizes data products, treating them as essential components of the system. Automate and repurpose these data products effectively while ensuring compliance and strong data governance practices are in place. Manage the expenses associated with your data products and pipelines, particularly within Snowflake, to optimize resource allocation. For this leading global pharmaceutical company, data product teams stand to gain significantly from advanced analytics facilitated by a self-service data and analytics ecosystem that incorporates Snowflake along with other tools that embody a data mesh philosophy. The DataOps.live platform is instrumental in helping them structure and leverage next-generation analytics capabilities. By fostering collaboration among development teams centered around data, DataOps promotes swift outcomes and enhances customer satisfaction. The traditional approach to data warehousing has often lacked the flexibility needed in a fast-paced environment, but DataOps can transform this landscape. While effective governance of data assets is essential, it is frequently regarded as an obstacle to agility; however, DataOps bridges this gap, fostering both nimbleness and enhanced governance standards. Importantly, DataOps is not solely about technology; it embodies a mindset shift that encourages innovative and efficient data management practices. This new way of thinking is crucial for organizations aiming to thrive in the data-driven era.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
Chartio
Collibra
DataRobot
Dataguise
Dataiku
Docker
Immuta
Informatica Cloud Data Integration
JupyterHub
Matillion
Microsoft Azure
Monte Carlo
Okera
Python
Snowflake
ThoughtSpot
data.world
dbt

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
Chartio
Collibra
DataRobot
Dataguise
Dataiku
Docker
Immuta
Informatica Cloud Data Integration
JupyterHub
Matillion
Microsoft Azure
Monte Carlo
Okera
Python
Snowflake
ThoughtSpot
data.world
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mastech Infotrellis

Date Founded

2007

Company Website

mastechinfotrellis.com

Company Facts

Organization Name

DataOps.live

Date Founded

2020

Company Location

London, UK

Company Website

www.dataops.live/

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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