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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

At Datametica, our innovative solutions significantly reduce risks and alleviate costs, time, frustration, and anxiety throughout the data warehouse migration process to the cloud. We facilitate the transition of your current data warehouse, data lake, ETL, and enterprise business intelligence systems to your preferred cloud environment through our automated product suite. Our approach involves crafting a comprehensive migration strategy that includes workload discovery, assessment, planning, and cloud optimization. With our Eagle tool, we provide insights from the initial discovery and assessment phases of your existing data warehouse to the development of a tailored migration strategy, detailing what data needs to be moved, the optimal sequence for migration, and the anticipated timelines and expenses. This thorough overview of workloads and planning not only minimizes migration risks but also ensures that business operations remain unaffected during the transition. Furthermore, our commitment to a seamless migration process helps organizations embrace cloud technologies with confidence and clarity.

Description

Data serves as the fundamental asset for all digital transformation efforts. Numerous initiatives encounter obstacles due to the misconception that data quality and availability are guaranteed. Yet, the stark truth is that obtaining relevant data often proves to be challenging, costly, and disruptive. The Datumize Data Collector (DDC) functions as a versatile and lightweight middleware designed to extract data from intricate, frequently transient, and legacy data sources. This type of data often remains largely untapped since accessible methods for retrieval are lacking. By enabling organizations to gather data from various sources, DDC also facilitates extensive edge computing capabilities, which can incorporate third-party applications, such as AI models, while seamlessly integrating the output into preferred formats and storage solutions. Ultimately, DDC presents a practical approach for businesses looking to streamline their digital transformation efforts by efficiently collecting essential operational and business data. Its ability to bridge the gap between complex data environments and actionable insights makes it an invaluable tool in today's data-driven landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

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

Datametica

Founded

2013

Country

India

Website

www.datametica.com

Vendor Details

Company Name

Datumize

Founded

2014

Country

Spain

Website

www.datumize.com

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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