For enterprises, faster time-to-insight translates into accurate, on-time strategic decisions, ensuring better prospects for ROI and business growth. To break data silos and make data readily available to globally-dispersed business units, enterprises need agile data integration with uninterrupted access to high-quality data from disparate sources. However, retrieving and combining the data coming in from multiple, dissimilar sources using traditional data integration methods can be a time-intensive task, creating delays for subsequent processes.
The Astera Data Virtualization platform offers advanced data virtualization capabilities that lessens the data integration burden off IT’s shoulders. The solution enables users to integrate and view data from disparate enterprise systems, in-memory formats, and database repositories as a single source. Our data virtualization tool offers multi-table query generation, source data caching, security protocols, and relational data models to enhance data accessibility, break data silos, and speed up the data-to-insight journey, all through a virtual data layer.
How Data Virtualization Works?
Data virtualization presents enterprise data as a virtual database. It creates an abstraction layer that delivers a unified view of data residing in heterogeneous sources in near real-time, without the need of copying or moving data into a physical database. It enables gathering, merging, and transforming large amounts of data into a single, all-encompassing dataset. This provides users with greater flexibility and control over data access, while ensuring optimal data governance and reduced data redundancy.
Data virtualization curates native database syntax and frameworks for more business-user friendly data layouts for use in subsequent processes, like reporting, big data analytics, logical data warehousing, and application development.
Set the stage for your data virtualization deployment by designing a virtual data model. Specify data sources, establish entity relationships, and define caching and layout for users to access the right information through the abstraction layer.
Being data format and source agnostic, the platform allows connectivity to a variety of structured and unstructured data sources, including PDF, DOCX, XML, JSON, email, FTP, SQL, and more.
Virtual data models are reusable and can be implemented in cohesion with large or small integration projects of any complexity.
Deploying virtual data models in Astera Data Virtualization is as simple as clicking a button on the visual designer. Users can see the results of deployment in real-time through the Job Progress viewer.
Track the progress of your deployments to determine the running, completed, or failed status. Get a complete report about the caching status of each entity by drilling down into job logs.
Deliver simplified virtual views of integrated data in a standardized, easily recognizable layout, while hiding away all the underlying technical complexities. Treat the resultant database table as a source for dataflows to feed accurate, high-quality data into BI tools for analytics and decision making.
Astera Data Virtualization allows you to intelligently mask source location and datasets from data consumers, providing access to only the required insights for production and analytics.
Fast-Track Your Data Journey to BI and Analytics
Astera Data Virtualization offers modern, highly-flexible data virtualization solutions that enable users to deliver integrated data from multiple sources with breakthrough cost-effectiveness and speed. Whether you want to integrate data for business intelligence, data warehousing, or testing and prototyping, data virtualization facilitates in jumpstarting your integration project and accelerating your outcomes.
Key Features of Astera Data Virtualization:
Visual, Drag-and-Drop Environment
Astera Data Virtualization features a completely visual, intuitive interface. Create virtual data models by dragging and dropping data sources onto the visual designer, deploy and monitor their status, and expose the integrated data in the form of a single database table to consuming applications and users.
Multi-Source Extraction for a Single View of Data
Choose from a wide range of cloud sources (REST Client, FTP, Email, etc.), in-memory formats (PDF, DOCX, XML, JSON, etc.) and database sources (SQL server, PostgreSQL, etc.) to extract data for your virtual data model. Define the destination database table format to converge inconsistent data layouts into a single unified, user-defined format.
Define Caching Properties for Faster Query Execution
Cache one or all data sources and create local copies of database tables to speed up query processing either by loading the cached tables fully or incrementally. Set a schedule to define time and repeatability of updating cached database tables through the Scheduler to have access to the most recent data for BI and analytics.
Design and Deploy Virtual Data Models in Minutes
Astera’s powerful visual interface enables users to design and deploy virtual data models quickly and easily. Handpick your datasets by dragging and dropping source objects from a wide range of data sources, be it cloud, in-memory, or web applications. Deploy your virtual data models with a single click to create a virtual layer for your enterprise data consuming platforms.
Ensure Layout Consistency in Virtualized Database Tables
Astera Data Virtualization enables users to pull data from a wide range of sources with varying data formats and table layouts. Regardless of the source data layout, the virtual layer provides a consistent, unified view with the user-defined layout, featuring all the integrated data.
Establish Relationship Between Entities
Outline relationships between various data source entities to set referential integrity for the virtual database table. Create one-to-one or one-to-many relationships based on your layout requirements for a refined, well-organized database table.
High-Quality Data for Accurate Analytics
Cleanse, profile, and deduplicate your data by utilizing the robust data quality capabilities of Astera Data Virtualization. Export your data to BI tools, like Tableau, PowerBI, and Qlik View, for analytics to inspire well-grounded decision making.
Use Virtual Database as an ETL Source
Astera Data Virtualization allows using virtual database tables in dataflows and workflows through Multi-Table Query source. This feature automatically creates the joins based on the specified entity relationships within the virtual data model, simplifying complex data integration flows significantly. You can profile and validate data through various transformations and send it to BI tools, such as PowerBI and Tableau, for reporting and analytics.
Ensure Robust Security and Data Governance
Supercharge the security of your enterprise data assets with user authentication, authorization, role-based access control, and SSL encryption features. Astera Data Virtualization offers centralized control access through a robust user management system to create and define user roles as well as manage and monitor their activity. Through the bearer-token authentication engine, you can restrict unauthorized access and track requests made to the server through unique JSON Web Tokens generated for each user.
Complete Data Requests Using a Simplified Query Language
Native to Astera Centerprise, Astera Query Language (AQL) has been scripted to facilitate developers in executing queries to fetch data and perform integration jobs. Developers familiar with SQL will find it much easier to write queries for accessing virtual database tables through the Astera Data Model engine using AQL statements. Astera Query Language also powers the Multi-Table Query source, which allows you to call your virtual database tables in workflows using the drag-and-drag functionality.
Retrieve Data from the Virtual Layer
Astera Data Virtualization features Astera Data Model (ADM) – a native database provider that connects to virtual database tables and facilitates in completing data retrieval requests. Users can quickly run queries made through the Astera query engine using different methods like, Multi-Source Query source and AQL commands, to fetch data directly from the virtual layer.