Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.
Description
If you're assessing RMTrack and require guidance on tailoring it to suit your specific requirements, feel free to reach out to our support team via phone or email. RMTrack is designed to accommodate diverse business and manufacturing workflows, and our dedicated support specialist is ready to help you customize RMTrack to align perfectly with your needs. Upon logging in, users will find the main page featuring a comprehensive list of items available to them, which can be effortlessly filtered by selecting various criteria. Additionally, these lists can be organized by several columns, and users can rearrange them simply by dragging and dropping them into their desired positions. RMTrack also offers advanced reporting capabilities through its custom reporting engine, allowing you to select from a range of report formats such as dashboards, column views, and various chart types, including bar, line, and pie charts. For those seeking maximum adaptability, RMTrack provides HTML template-driven reports, ensuring you can create presentations that fit your unique style and needs. With such flexible options, RMTrack stands out as a powerful tool for managing your operations efficiently.
API Access
Has API
No
API Access
Has API
No
Integrations
APERIO DataWise
Yes
Amazon SageMaker Data Wrangler
Yes
CSViewer
Yes
Data Sentinel
Yes
Ficstar
Yes
Gravity Data
Yes
Hadoop
Yes
IBM Db2 Event Store
Yes
MLJAR Studio
Yes
Mage Sensitive Data Discovery
Yes
Integrations
APERIO DataWise
No
Amazon SageMaker Data Wrangler
No
CSViewer
No
Data Sentinel
No
Ficstar
No
Gravity Data
No
Hadoop
No
IBM Db2 Event Store
No
MLJAR Studio
No
Mage Sensitive Data Discovery
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$149 one-time payment
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
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
Yes
Webinars
Yes
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
The Apache Software Foundation
Founded
1999
Country
United States
Website
parquet.apache.org
Vendor Details
Company Name
RMTrack Issue Tracking Solutions
Website
www.rmtrack.com
Product Features
Product Features
Bug Tracking
Backlog Management
Yes
Filtering
Yes
Issue Tracking
Yes
Release Management
Yes
Task Management
Yes
Ticket Management
Yes
Workflow Management
Yes