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Ratings and Reviews 0 Ratings
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QlooQloo, known as the "Cultural AI," excels in interpreting and predicting global consumer preferences. This privacy-centric API offers insights into worldwide consumer trends, boasting a catalog of hundreds of millions of cultural entities. By leveraging a profound understanding of consumer behavior, our API delivers personalized insights and contextualized recommendations. We tap into a diverse dataset encompassing over 575 million individuals, locations, and objects. Our innovative technology enables users to look beyond mere trends, uncovering the intricate connections that shape individual tastes in their cultural environments. The extensive library includes a wide array of entities, such as brands, music, film, fashion, and notable figures. Results are generated in mere milliseconds and can be adjusted based on factors like regional influences and current popularity. This service is ideal for companies aiming to elevate their customer experience with superior data. Additionally, our premier recommendation API tailors results by analyzing demographics, preferences, cultural entities, geolocation, and relevant metadata to ensure accuracy and relevance.
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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netTerrain DCIMnetTerrain offers a dynamic and automated platform for visual diagramming and reporting, providing comprehensive representations of your IT infrastructure, including data centers, networks, fiber, and cloud systems. By substituting disjointed documentation with coherent, interactive maps and reports, netTerrain aids in cutting expenses, accelerating troubleshooting processes, preventing system downtime, and reducing the need for field visits. Users can access both broad overviews and detailed analytics on various aspects such as capacity, power management, security updates, work orders, and beyond. Moreover, netTerrain empowers organizations to visualize their IT landscape effectively, facilitating informed decision-making for every business scenario encountered. This level of insight ensures that teams are well-equipped to address challenges and optimize their operations continuously.
What is Record Evolution?
Streamline the extraction of IoT data, develop AI solutions for the shop floor, and visualize key performance indicators (KPIs) effectively. Oversee a network of decentralized and compact data pods, each operating autonomously and equipped with robust analytics infrastructure. The adaptable storage capacity enables the creation of numerous pods in various sizes to suit your needs. Throughout a seamless data journey, you can gather, analyze, and visualize data effortlessly. Raw data can be sourced from various inputs, including IoT routers and the internet. Instantly produce reports and design custom infographics directly from your browser, enhancing accessibility and usability. By leveraging the capabilities of tools like VS Code, Observable, and TablePlus, you can develop interactive data science workbooks that facilitate deeper insights. Furthermore, you can monitor current and previous processes in real-time while automating package loads all the way to reporting, thereby improving operational efficiency and decision-making. This comprehensive approach not only enhances productivity but also supports strategic planning and execution.
What is Oracle Cloud Infrastructure Data Integration?
Easily extract, transform, and load (ETL) data for analytics and data science initiatives. Build smooth, code-free data streams aimed at data lakes and data marts. This feature is part of Oracle’s comprehensive suite of integration tools. The intuitive interface facilitates simple configuration of integration settings and automates the mapping of data across various sources and destinations. Users can take advantage of pre-existing operators, such as joins, aggregates, or expressions, to adeptly manipulate their datasets. Centralized management of workflows allows the use of parameters to modify specific configuration aspects during runtime efficiently. Users have the ability to prepare their data and see transformation outcomes in real-time, which aids in validating processes. Boost your efficiency and alter data flows instantly without having to wait for execution to finish. Furthermore, this solution effectively prevents disruptions in integration flows and reduces maintenance issues as data schemas evolve over time, guaranteeing a seamless data management experience. This functionality not only streamlines the integration process but also empowers users to concentrate on deriving insights from their data without the burden of technical obstacles, ultimately enhancing decision-making.
Integrations Supported
Oracle Cloud Infrastructure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.04 per GB per hour
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
Record Evolution
Date Founded
2015
Company Location
Germany
Company Website
www.record-evolution.de/
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services