Data Access Layer (DAL)

Data Access Layer (DAL)

DAL is a cutting-edge data product that delivers a fast, scalable, and highly customizable data lakehouse, driven by Trino, the leading SQL analytics engine. DAL offers a high-performance data architecture designed for rapid data processing and analytics, effectively managing complex queries over large datasets. It provides a scalable and cost-effective lakehouse solution, complete with robust security and governance features, ensuring seamless operation for your business, engineering, and analytics teams.

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Features

Features
  • All data sources can be accessed through a single layer DAL. It provides centralized access control for all the sources.
Simplified Data Access

Simplified Data Access

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  • DAL connects to various data sources, whether on-premises, in the cloud, or in a hybrid environment, offering flexibility.
Hybrid and Multi-Cloud Support

Hybrid and Multi-Cloud Support

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  • DAL offers real-time data access, ensuring up-to-date information from various sources without delays.
Real-time Data Access

Real-time Data Access

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  • Supports querying multiple data sources via SQL, eliminating silos and allowing seamless data integration.
Data Virtualization

Data Virtualization

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  • Enables users to explore data independently without heavy reliance on IT teams.
Self-Service Analytics

Self-Service Analytics

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  • DAL queries petabytes of data across Data Lakes and relational sources.
Scalability

Scalability

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Benefits

Centralized Data Management

Centralized Data Management

DAL simplifies access by consolidating multiple data sources into a single layer, providing centralized access control and streamlining data governance.

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Elimination of Data Silos

Elimination of Data Silos

Supports querying heterogeneous data sources through a single SQL query, integrating data seamlessly for better insights.

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Flexible Infrastructure Support

Flexible Infrastructure Support

Connects to data sources across on-premises, cloud, or hybrid environments, aligning with modern data architectures.

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Empowered Self-Service Analytics

Empowered Self-Service Analytics

Enables users to explore and analyze data without constant IT support, boosting productivity.

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Real-Time Data Processing

Real-Time Data Processing

Provides real-time access to data from multiple sources for improved decision-making.

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Scalable and Cost-Effective

Scalable and Cost-Effective

Handles large-scale data efficiently while maintaining cost-effectiveness.

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Join top organizations using DAL

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