Parquet File Delivery
Efficient. Seamless. Fast.Parquet File Delivery from ATTOM: Smarter, Faster Data for Your Business
Parquet file delivery from ATTOM provides clients with a faster, more efficient way to process large-scale property data. Designed for big data analytics, Parquet’s columnar structure reduces storage costs, improves query performance, and seamlessly integrates with various platforms. Whether you’re powering advanced machine learning models, running large-scale market analyses, or streamlining data pipelines, ATTOM’s Parquet format ensures optimized performance, scalability, and flexibility—helping you turn raw data into powerful insights with ease.
Parquet’s Columnar Advantage
Unlike traditional row-based formats, Parquet organizes data by columns, allowing for faster queries, reduced storage costs, and improved processing efficiency—perfect for handling large-scale property datasets.
Key Benefits of Parquet
Efficient Storage
Advanced compression reduces file sizes compared to CSV.
Built-In Schema
Embedded metadata simplifies integration and maintains consistency.
Faster Queries
Columnar storage enables selective data access for improved performance.
Seamless Integration
Works with AWS, GCP, Azure, Snowflake, Spark & more.
Manage GeoSpatial Data
Optimize workflows for defining property boundaries and spatial mapping with GeoParquet.
Defined Data Types
Explicit data types ensure accuracy, unlike plain-text CSV fields.
Cost Savings
Smaller files and faster processing reduce storage and compute expenses.
What is Parquet?
Parquet is a modern, columnar data storage format designed for big data processing and analytics. Unlike CSV, which stores data row by row, Parquet organizes data by columns, enabling smaller file sizes, faster queries, and better support for complex data types. With built-in schema metadata, it simplifies integration with databases and analytics tools. Widely supported across major data platforms, Parquet enhances efficiency, scalability, and cost savings.
Streamlining Property Data: How Snowflake & Parquet Fit Your Workflow
Listen in as Sean Mooney, VP of Product Management and Yahya Zhowandai, Data Product Manager at ATTOM, explore how ATTOM is streamlining access to nationwide property data through new delivery options built for speed and scale — including live connectivity via Snowflake and analytics-ready formats like Parquet and GeoParquet. Whether you’re training machine learning models, integrating property data into GIS workflows, or building smarter BI tools, this session will help you align delivery with your team’s needs.
What You’ll Learn:
- How Snowflake enables instant access to ATTOM data with no ETL or syncing
- When Parquet and GeoParquet are ideal for analytics, modeling, and GIS
- Real-world examples of how companies are using these formats today
- A decision framework to help you choose the right delivery method for your team
- And more…
How Businesses Benefit from Parquet
Real Estate Brokerages
Process large-scale property data for valuations, trend analysis, and predictive modeling.
Financial Services
Accelerate mortgage risk assessments, fraud detection, and investment analytics.
Insurance
Improve underwriting efficiency with faster access to historical property and claims data.
Government
Manage zoning, infrastructure planning, and regulatory compliance with optimized data processing.
Data & Analytics Companies
Enhance machine learning models and big data workflows with high-performance querying.
Marketing
Leverage demographic and location insights for targeted advertising and strategic expansion.