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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
Gain immediate insights into your datasets with HQ Data Profiler, which allows you to analyze formats such as CSV, Excel, Parquet, JSON, and others using over 20 metrics along with machine learning-based anomaly detection. If you're frustrated with lengthy data exploration processes, HQ Data Profiler makes it easy by generating detailed data profiles with just three clicks, providing you with critical insights in seconds instead of hours, thus conserving your precious time. Our advanced software automatically accommodates a variety of file types, formats, and schemas, including CSV, JSON, Parquet, XML, and Excel, while ensuring your data's confidentiality by processing files locally on your device.
Key Features:
Swift: Obtain in-depth insights without delay.
Smart: Compatible with numerous file types and formats.
Secure: Local processing of files guarantees data privacy.
Comprehensive: Detailed analysis that includes outlier detection and essential metrics such as unique, duplicate, distinct, top 10 values, and more.
With HQ Data Profiler, you can not only streamline your data analysis but also enhance your decision-making speed and accuracy.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Data Firehose
Amazon SageMaker Data Wrangler
Autymate
CSViewer
Ficstar
Flyte
GribStream
Hadoop
IBM Db2 Event Store
Indexima Data Hub
Integrations
Amazon Data Firehose
Amazon SageMaker Data Wrangler
Autymate
CSViewer
Ficstar
Flyte
GribStream
Hadoop
IBM Db2 Event Store
Indexima Data Hub
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$9.99/month/user
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
parquet.apache.org
Vendor Details
Company Name
HQ Data Profiler
Founded
2024
Country
United States
Website
hqdataprofiler.com