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What is DIA?

DIA (Decentralised Information Asset) is an open-source oracle system designed to gather, distribute, and share trustworthy data among participants in the market. In the realm of decentralized finance (DeFi), having access to reliable and scalable data feeds is vital for the creation of robust products and for safeguarding against possible exploitation and manipulation. DIA employs crypto-economic incentives alongside community feedback to effectively gather, verify, and transmit credible financial information. Participants who assist in data sourcing and validation are rewarded with bounties paid in DIA tokens, encouraging active involvement. All data is collected from primary sources and sent to DIA's servers, where it is secured by hashing the database on-chain. Moreover, comprehensive scraper code and documentation are readily available on GitHub for public access. Users can retrieve this data via API endpoints or Oracles, which allows various entities like lending platforms, index providers, and prediction markets to utilize DIA’s open-source and validated data streams without any costs. This collaborative methodology not only improves data integrity but also promotes innovation and advancement within the DeFi landscape. Ultimately, DIA aims to create a more transparent and reliable financial ecosystem for all participants.

What is Azure HDInsight?

Leverage popular open-source frameworks such as Apache Hadoop, Spark, Hive, and Kafka through Azure HDInsight, a versatile and powerful service tailored for enterprise-level open-source analytics. Effortlessly manage vast amounts of data while reaping the benefits of a rich ecosystem of open-source solutions, all backed by Azure’s worldwide infrastructure. Transitioning your big data processes to the cloud is a straightforward endeavor, as setting up open-source projects and clusters is quick and easy, removing the necessity for physical hardware installation or extensive infrastructure oversight. These big data clusters are also budget-friendly, featuring autoscaling functionalities and pricing models that ensure you only pay for what you utilize. Your data is protected by enterprise-grade security measures and stringent compliance standards, with over 30 certifications to its name. Additionally, components that are optimized for well-known open-source technologies like Hadoop and Spark keep you aligned with the latest technological developments. This service not only boosts efficiency but also encourages innovation by providing a reliable environment for developers to thrive. With Azure HDInsight, organizations can focus on their core competencies while taking advantage of cutting-edge analytics capabilities.

Media

Media

Integrations Supported

Apache HBase
Apache Spark
Apache Storm
Azure Data Lake
Azure Data Lake Storage
Azure Database for MariaDB
Azure Marketplace
GoProfiles
Hadoop
Microsoft Azure
Microsoft R Open
Moonbeam
Moonriver
Protegrity
SAS Studio
Zeroswap

Integrations Supported

Apache HBase
Apache Spark
Apache Storm
Azure Data Lake
Azure Data Lake Storage
Azure Database for MariaDB
Azure Marketplace
GoProfiles
Hadoop
Microsoft Azure
Microsoft R Open
Moonbeam
Moonriver
Protegrity
SAS Studio
Zeroswap

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

DIA Association

Date Founded

2018

Company Location

Switzerland

Company Website

diadata.org

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/hdinsight/

Categories and Features

Categories and Features

Big Data

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

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