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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

This dynamic community is focused on advancing Big Data and Visualization software, along with promoting best practices and innovations essential for enterprises to harness the full potential of their extensive data resources. With over 98,000 members, it stands as the largest professional group for Big Data experts. Move past the buzz surrounding big data and engage with a leading community that caters to both seasoned professionals and organizations exploring the intersection of big data analytics, Hadoop, data warehousing, cloud solutions, unified data architectures, digital marketing, visualization, and business intelligence. Our aim is to unite stakeholders from various sectors, including industry, academia, and government, who share a keen interest in Big Data and Visualization methodologies, technologies, and applications. Your participation is crucial for fulfilling the community's objectives, so we invite you to join in the discussions, offer expert insights, share your learnings, and contribute your unique perspectives to enrich our collective knowledge. Together, we can drive innovation and foster collaboration in the field of big data.

Description

Oracle Big Data Service simplifies the deployment of Hadoop clusters for customers, offering a range of VM configurations from 1 OCPU up to dedicated bare metal setups. Users can select between high-performance NVMe storage or more budget-friendly block storage options, and have the flexibility to adjust the size of their clusters as needed. They can swiftly establish Hadoop-based data lakes that either complement or enhance existing data warehouses, ensuring that all data is both easily accessible and efficiently managed. Additionally, the platform allows for querying, visualizing, and transforming data, enabling data scientists to develop machine learning models through an integrated notebook that supports R, Python, and SQL. Furthermore, this service provides the capability to transition customer-managed Hadoop clusters into a fully-managed cloud solution, which lowers management expenses and optimizes resource use, ultimately streamlining operations for organizations of all sizes. By doing so, businesses can focus more on deriving insights from their data rather than on the complexities of cluster management.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Hadoop No 
Oracle Cloud Infrastructure No 

Integrations

Hadoop Yes 
Oracle Cloud Infrastructure Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.1344 per hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

MAIA Intelligence

Founded

2006

Country

India

Website

www.maia-intelligence.com

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

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

Product Features

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis Yes 
Strategic Planning Yes 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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