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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Transforming a week's labor of manual data preparation into mere minutes, our innovative Data Preparer software streamlines the path to insights through intelligent data handling. This fresh approach to data preparation allows users to specify their requirements, letting the software automatically determine the best way to fulfill them. With Data Preparer, labor-intensive programming is no longer necessary, as it efficiently manages data preparation tasks without the need for intricate coding. Users simply outline their needs, supplying data sources, a desired structure, quality benchmarks, and sample data. The clarity provided by the target structure and quality priorities ensures precise requirements, while the example data aids Data Preparer in efficiently cleaning and integrating the datasets. Once the parameters are set, Data Preparer takes over, analyzing relationships between the various data sources and the intended target, effectively populating the target with the necessary information. Moreover, it assesses multiple methods for combining the sources and adapts the data format accordingly, making the entire process seamless and user-friendly. In this way, Data Preparer not only simplifies the data preparation process but also enhances the overall quality of the analysis.

Description

Efficiently ingest, prepare, and manage data pipelines at scale specifically designed for cloud-based AI and analytics. The extensive data engineering suite from Informatica equips users with all the essential tools required to handle large-scale data engineering tasks that drive AI and analytical insights, including advanced data integration, quality assurance, streaming capabilities, data masking, and preparation functionalities. With the help of CLAIRE®-driven automation, users can quickly develop intelligent data pipelines, which feature automatic change data capture (CDC), allowing for the ingestion of thousands of databases and millions of files alongside streaming events. This approach significantly enhances the speed of achieving return on investment by enabling self-service access to reliable, high-quality data. Gain genuine, real-world perspectives on Informatica's data engineering solutions from trusted peers within the industry. Additionally, explore reference architectures designed for sustainable data engineering practices. By leveraging AI-driven data engineering in the cloud, organizations can ensure their analysts and data scientists have access to the dependable, high-quality data essential for transforming their business operations effectively. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to make data-driven decisions with confidence.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

FairCom DB No 
FairCom EDGE No 

Integrations

FairCom DB Yes 
FairCom EDGE Yes 

Pricing Details

$2500 per user per year
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

The Data Value Factory

Founded

2018

Country

United Kingdom

Website

thedatavaluefactory.com

Vendor Details

Company Name

Informatica

Founded

1993

Country

United States

Website

www.informatica.com/products/big-data.html

Product Features

Data Management

Customer Data Yes 
Data Analysis Yes 
Data Capture No 
Data Integration Yes 
Data Migration No 
Data Quality Control Yes 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge Yes 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Product Features

Big Data

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

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