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Description
DQ Studio™ serves as a robust and highly adaptable engine for managing master data. It boasts the capability to interface with more than 130 different data sources and targets, allowing users to extract information, implement advanced data quality processes, and transfer data to new locations, all within a user-friendly low-code/no-code framework. This application facilitates data extraction from various legacy systems, on-premise setups, or online platforms, ensuring smooth transitions to new environments. With a legacy of over 25 years focused on customer data, we have encountered numerous data quality challenges, and our dedicated team is focused on completing each project within the agreed timeline and budget. Rest easy knowing that your data undergoes proper formatting, transformation, and enrichment before it is checked for duplicates and subsequently inserted or updated in your business applications. The versatility of DQ Studio™ allows for seamless connections to over 130 data sources and targets, empowering users to efficiently migrate data from one location to another, integrate multiple systems, or consolidate numerous platforms by leveraging our diverse connectors. In today's data-driven world, having such a comprehensive tool at your disposal can significantly enhance your organization's data management capabilities.
Description
Power Query provides a user-friendly solution for connecting, extracting, transforming, and loading data from a variety of sources. Acting as a robust engine for data preparation and transformation, Power Query features a graphical interface that simplifies the data retrieval process and includes a Power Query Editor for implementing necessary changes. The versatility of the engine allows it to be integrated across numerous products and services, meaning the storage location of the data is determined by the specific application of Power Query. This tool enables users to efficiently carry out the extract, transform, and load (ETL) processes for their data needs. With Microsoft’s Data Connectivity and Data Preparation technology, users can easily access and manipulate data from hundreds of sources in a straightforward, no-code environment. Power Query is equipped with support for a multitude of data sources through built-in connectors, generic interfaces like REST APIs, ODBC, OLE, DB, and OData, and even offers a Power Query SDK for creating custom connectors tailored to individual requirements. This flexibility makes Power Query an indispensable asset for data professionals seeking to streamline their workflows.
API Access
Has API
API Access
Has API
Integrations
Active Directory
Adobe Marketo Engage
Facebook
Google Analytics
IBM Db2
IBM Informix
Microsoft Access
Microsoft Dynamics 365
Microsoft Excel
Microsoft Exchange
Integrations
Active Directory
Adobe Marketo Engage
Facebook
Google Analytics
IBM Db2
IBM Informix
Microsoft Access
Microsoft Dynamics 365
Microsoft Excel
Microsoft Exchange
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DQ Global
Founded
1997
Country
United Kingdom
Website
www.dqglobal.com/products/dq-studio/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
powerquery.microsoft.com/en-us/
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control