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Description
Apache Avro™ serves as a system for data serialization, offering intricate data structures and a fast, compact binary format along with a container file for persistent data storage and remote procedure calls (RPC). It also allows for straightforward integration with dynamic programming languages, eliminating the need for code generation when reading or writing data files or implementing RPC protocols; this only becomes a recommended optimization for statically typed languages. Central to Avro's functionality is its reliance on schemas, which accompany the data at all times, ensuring that the schema used for writing is always available during reading. This design choice minimizes the overhead per value, resulting in both rapid serialization and reduced file size. Furthermore, it enhances compatibility with dynamic and scripting languages since the data is entirely self-describing along with its schema. When data is saved in a file, its corresponding schema remains embedded within, allowing for subsequent processing by any compatible program. In instances where the reading program anticipates a different schema, this discrepancy can be resolved with relative ease, showcasing Avro's flexibility and efficiency in data management. Overall, Avro's architecture significantly streamlines the handling of data across a variety of programming environments.
Description
The RDC Platform enhances expert human expertise with advanced AI functionalities, equipping financial institutions with a distinct advantage in the lending sector. With an emphasis on ethical AI principles to maintain compliance, our tools enable lenders to visualize and comprehend the reasoning behind each AI-driven predictive model and decision-making strategy. By harnessing a combination of traditional, alternative, and latent data alongside cutting-edge AI methodologies, we facilitate precise predictions and optimal decision-making results. Recognizing the importance of safely integrating AI, we have developed a distinctive approach known as the Self-describing decision, which fosters confidence and transparency in achieving your safety objectives. This innovative concept encapsulates all components in a single data object, elucidating every aspect involved. It provides a thorough record of all model features, predictions, reference data, and rules activated during the decision-making process. With governance and explainability inherently incorporated, we ensure that these elements are consistently present, reinforcing the reliability of AI-driven decisions. This comprehensive strategy not only supports compliance but also builds trust in AI technologies within the financial sector.
API Access
Has API
API Access
Has API
Integrations
Apache DataFusion
Apache Hive
Arroyo
Beats
Data Sentinel
Hackolade
SSIS Integration Toolkit
Semarchy xDI
Specmatic
Timeplus
Integrations
Apache DataFusion
Apache Hive
Arroyo
Beats
Data Sentinel
Hackolade
SSIS Integration Toolkit
Semarchy xDI
Specmatic
Timeplus
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
avro.apache.org
Vendor Details
Company Name
Rich Data Co
Founded
2016
Country
Australia
Website
www.richdataco.com
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports