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What is accel-DS?

Accel-DS is a unique tool that features a no-code, drag-and-drop interface, making it remarkably easy for users to begin their data projects. While building your dataset, you can observe outcomes in real-time in an intuitive spreadsheet-like format, which also serves the purpose of executing data cleansing transformations. This innovative approach disrupts the traditional ETL development cycle, which often requires extensive coding for the processes of extracting, transforming, loading, and verifying results. Tailored specifically for business professionals and end users, it facilitates the smooth integration of data from a variety of sources, such as databases, XML, JSON, WSDL, and streams like Twitter and Sys Log. With no need for coding expertise, users can simply drag and drop their desired data sources. Designed with Big Data in mind, it simplifies the ingestion, cleansing, and transformation of data from any origin into Hadoop or Big Data environments. The system is capable of efficiently transferring gigabytes of data from relational databases and files into Big Data platforms in mere minutes. Additionally, it accommodates both traditional and complex data types, including maps and structures, thereby providing a flexible solution for a wide array of data requirements. This adaptability guarantees that users can tailor the tool to meet their unique needs with minimal effort, enhancing their overall experience.

What is Oracle Big Data Discovery?

Oracle Big Data Discovery stands out as a highly visual and intuitive tool that leverages Hadoop's capabilities, transforming raw data into actionable insights for businesses in mere minutes, thus negating the need for extensive tool mastery or reliance on specialized experts. This innovative solution allows users to easily pinpoint relevant data sets within Hadoop, quickly explore the data to understand its significance, improve its quality through enhancement and refinement, analyze it for fresh insights, and disseminate findings while effortlessly reintegrating into Hadoop for organization-wide applications. By establishing BDD as the foundational element of your data lab, your organization can foster a unified environment for examining and navigating diverse data sources within Hadoop, which streamlines the development of projects and applications. Unlike traditional analytics platforms, BDD opens the door for a wider audience to interact with big data, drastically cutting down the duration required for data loading and updates, hence enabling teams to focus on significant data analysis and exploration. This transition not only boosts productivity but also democratizes data access, enabling a greater number of individuals to participate in data-driven decision-making processes, ultimately leading to improved outcomes for the organization. Furthermore, by empowering users across various skill levels, BDD cultivates a culture of collaboration and innovation in data utilization, fostering an environment where insights can be rapidly derived and acted upon.

Media

Media

Integrations Supported

Altair Compose
Commvault Cloud
Commvault HyperScale X
Facebook
Fortinet SD-WAN
Grafana Cloud
Hadoop
Microsoft Azure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
VMware Cloud
VMware Tanzu CloudHealth
X (Twitter)

Integrations Supported

Altair Compose
Commvault Cloud
Commvault HyperScale X
Facebook
Fortinet SD-WAN
Grafana Cloud
Hadoop
Microsoft Azure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
VMware Cloud
VMware Tanzu CloudHealth
X (Twitter)

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

Proden Technologies

Company Location

United States

Company Website

prodentechnologies.net/data-integration-tools.php

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/big-data-discovery.html

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

Data Discovery

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

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