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Ratings and Reviews 0 Ratings
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What is Data Lakes on AWS?
A multitude of Amazon Web Services (AWS) users are in search of a data storage and analytics option that outperforms traditional data management systems in terms of flexibility and agility. The emergence of data lakes has proven to be a groundbreaking and increasingly popular approach for data storage and analysis, allowing businesses to manage a wide array of data types from multiple sources within a single repository that supports both structured and unstructured data. AWS Cloud offers vital elements that empower customers to develop a secure, versatile, and cost-effective data lake. These elements include AWS managed services that facilitate the ingestion, storage, discovery, processing, and analysis of diverse data formats. To support clients in building their data lakes, AWS presents a thorough data lake solution that acts as an automated reference implementation, laying out a highly available and economical data lake architecture on the AWS Cloud, complemented by a user-friendly console for searching and accessing datasets. Additionally, this solution not only improves the accessibility of data but also simplifies the entire data management process, ultimately leading to enhanced operational efficiency for organizations. As a result, companies can leverage these advantages to make more informed decisions based on their data insights.
What is Altada?
The Altada AI Platform equips clients to leverage their data infrastructure for outstanding outcomes in both automation and strategic decision-making. By providing a thorough overview of the data supply chain, we streamline processes such as data ingestion, indexing, remediation, and inference, enabling organizations to expand their operations, boost profitability, and realize significant advantages. Our platform adeptly transfers data from client data lakes into secure storage via an efficient and scalable pipeline. Utilizing sophisticated image classification and natural language processing methodologies, we can swiftly classify, categorize, and verify scanned documents within seconds. Users can take advantage of a customizable dashboard and query interface that allows them to search data and present findings in a user-friendly format, complete with functionalities to bookmark, filter, or rearrange the information according to their preferences. This integration of features guarantees that businesses can maximize their data assets for strategic growth, ultimately positioning them for long-term success and innovation in their respective industries. Furthermore, the platform's adaptability to various sectors enhances its usability and effectiveness, making it an invaluable tool for any organization looking to thrive in a data-driven world.
Integrations Supported
Rocket Data Replicate & Sync
VE3 DataWise
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
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/solutions/implementations/data-lake-solution/
Company Facts
Organization Name
Altada Technology Solutions
Date Founded
2017
Company Location
Ireland
Company Website
www.altada.com/meet-aidexter/
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text 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
Categories and 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