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Description
A Kudu cluster comprises tables that resemble those found in traditional relational (SQL) databases. These tables can range from a straightforward binary key and value structure to intricate designs featuring hundreds of strongly-typed attributes. Similar to SQL tables, each Kudu table is defined by a primary key, which consists of one or more columns; this could be a single unique user identifier or a composite key such as a (host, metric, timestamp) combination tailored for time-series data from machines. The primary key allows for quick reading, updating, or deletion of rows. The straightforward data model of Kudu facilitates the migration of legacy applications as well as the development of new ones, eliminating concerns about encoding data into binary formats or navigating through cumbersome JSON databases. Additionally, tables in Kudu are self-describing, enabling the use of standard analysis tools like SQL engines or Spark. With user-friendly APIs, Kudu ensures that developers can easily integrate and manipulate their data. This approach not only streamlines data management but also enhances overall efficiency in data processing tasks.
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 Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop
nCino Cloud Banking Platform
Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop
nCino Cloud Banking Platform
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
The Apache Software Foundation
Founded
1999
Country
United States
Website
kudu.apache.org/overview.html
Vendor Details
Company Name
Rich Data Co
Founded
2016
Country
Australia
Website
www.richdataco.com