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What is Infor Data Lake?

Tackling the obstacles encountered by contemporary businesses and industries relies heavily on the strategic use of big data. The ability to collect information from a multitude of sources within your organization—whether sourced from various applications, personnel, or IoT devices—creates vast potential for growth. Infor’s Data Lake tools combine schema-on-read intelligence with a quick and flexible data consumption model, fostering innovative strategies for important decision-making. By obtaining streamlined access to your entire Infor ecosystem, you can embark on the journey of capturing and utilizing big data to boost your analytics and machine learning efforts. With remarkable scalability, the Infor Data Lake acts as a unified repository, enabling the gathering of all organizational data into one place. As you broaden your insights and investments, the incorporation of additional content will lead to more informed decision-making and enhanced analytics capabilities, ultimately creating robust datasets that support your machine learning initiatives. This all-encompassing strategy not only refines data management processes but also equips organizations to maintain a competitive edge in an ever-changing environment. Additionally, embracing big data can inspire a culture of innovation, where insights drive transformation and operational efficiency.

What is FastCube .NET?

FastCube provides a seamless and efficient way to analyze data, generate summary tables, and produce various reports and visualizations. This tool is particularly beneficial for quickly dissecting complex data arrays. As a suite of OLAP Desktop components, FastCube is compatible with .NET Framework 4, ASP.NET Core, and the Mono Framework. - Users can effortlessly integrate FastCube components into the interfaces of their host applications, making it accessible even to those without extensive programming knowledge when it comes to report generation. - It also allows for instant downloading and management of data arrays, and for creating summary tables, users have the option to utilize pre-designed templates; furthermore, administrators can restrict users from modifying the database schema. - The settings of FastCube can be accessed either programmatically or by the end users, providing flexibility in its usage. - Additionally, data can be stored in a compact format, simplifying both data exchange and storage processes. - FastCube also supports saving data and settings in a format compatible with FastCube VCL, and it offers export options to popular formats like Excel, Word, or HTML for further analysis or presentation. With its user-friendly approach and comprehensive features, FastCube stands out as a robust solution for data analysis and reporting needs.

Media

Media

Integrations Supported

FastCube VCL
FastReport .NET
Infor IoT
MySQL
SQLite

Integrations Supported

FastCube VCL
FastReport .NET
Infor IoT
MySQL
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$199.00/developer
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

Infor

Date Founded

2002

Company Location

United States

Company Website

www.infor.com/products/data-lake

Company Facts

Organization Name

Fast Reports

Date Founded

1998

Company Location

United States

Company Website

www.fast-report.com

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 Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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