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What is SAS Data Loader for Hadoop?

Easily import or retrieve your data from Hadoop and data lakes, ensuring it's ready for report generation, visualizations, or in-depth analytics—all within the data lakes framework. This efficient method enables you to organize, transform, and access data housed in Hadoop or data lakes through a straightforward web interface, significantly reducing the necessity for extensive training. Specifically crafted for managing big data within Hadoop and data lakes, this solution stands apart from traditional IT tools. It facilitates the bundling of multiple commands to be executed either simultaneously or in a sequence, boosting overall workflow efficiency. Moreover, you can automate and schedule these commands using the public API provided, enhancing operational capabilities. The platform also fosters collaboration and security by allowing the sharing of commands among users. Additionally, these commands can be executed from SAS Data Integration Studio, effectively connecting technical and non-technical users. Not only does it include built-in commands for various functions like casing, gender and pattern analysis, field extraction, match-merge, and cluster-survive processes, but it also ensures optimal performance by executing profiling tasks in parallel on the Hadoop cluster, which enables the smooth management of large datasets. This all-encompassing solution significantly changes your data interaction experience, rendering it more user-friendly and manageable than ever before, while also offering insights that can drive better decision-making.

What is Big Data Group?

This vibrant community is dedicated to the advancement of Big Data and Visualization software, alongside the critical practices and innovations that allow organizations to maximize the benefits of extensive data collections. With a membership exceeding 98,000, it is recognized as the largest professional network for Big Data professionals. Beyond the surface-level thrill associated with big data, this community serves as a premier hub for both seasoned practitioners and businesses delving into the convergence of big data analytics, exploration, Hadoop, data warehousing, cloud services, unified data frameworks, digital marketing, visualization, and business intelligence. Our goal is to bring together stakeholders from diverse sectors, including industries, academia, and government, who share an interest in Big Data and Visualization techniques, technologies, and their myriad applications. We encourage your participation in discussions, the sharing of expert insights, and the contribution of your valuable thoughts and perspectives, as these are vital to our collective success. By collaborating, we can cultivate a more knowledgeable and innovative landscape in the realm of big data, ultimately leading to groundbreaking advancements and applications that benefit all.

Media

Media

Integrations Supported

Hadoop
Impala
Microsoft 365
Microsoft Power BI
SAS Analytics for IoT
SAS Anti-Money Laundering
SAS Business Intelligence
SAS Business Rules Manager
SAS Customer Intelligence
SAS Data Management
SAS Data Quality
SAS Energy Forecasting
SAS Enterprise Miner
SAS MDM
SAS Risk Management

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/data-loader-for-hadoop.html

Company Facts

Organization Name

MAIA Intelligence

Date Founded

2006

Company Location

India

Company Website

www.maia-intelligence.com

Categories and Features

Data Preparation

Not specified

Categories and Features

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

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