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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 Oracle Big Data SQL Cloud Service?

Oracle Big Data SQL Cloud Service enables organizations to efficiently analyze data across diverse platforms like Apache Hadoop, NoSQL, and Oracle Database by leveraging their existing SQL skills, security protocols, and applications, resulting in exceptional performance outcomes. This service simplifies data science projects and unlocks the potential of data lakes, thereby broadening the reach of Big Data benefits to a larger group of end users. It serves as a unified platform for cataloging and securing data from Hadoop, NoSQL databases, and Oracle Database. With integrated metadata, users can run queries that merge data from both Oracle Database and Hadoop or NoSQL environments. The service also comes with tools and conversion routines that facilitate the automation of mapping metadata from HCatalog or the Hive Metastore to Oracle Tables. Enhanced access configurations empower administrators to tailor column mappings and effectively manage data access protocols. Moreover, the ability to support multiple clusters allows a single Oracle Database instance to query numerous Hadoop clusters and NoSQL systems concurrently, significantly improving data accessibility and analytical capabilities. This holistic strategy guarantees that businesses can derive maximum insights from their data while maintaining high levels of performance and security, ultimately driving informed decision-making and innovation. Additionally, the service's ongoing updates ensure that organizations remain at the forefront of data technology advancements.

Media

Media

Integrations Supported

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

Integrations Supported

Hadoop
AnalyticsCreator
Collate
Docker
Kubernetes
Legion AI
Oracle Database
Supaboard

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

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

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/big-data/big-data-sql/

Categories and Features

Data Preparation

Not specified

Categories and Features

Data Virtualization

Not specified

Database

Not specified

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