Go from Source
to Insights at Unprecedented
Speed
Build, deploy, and maintain a high-volume data warehouse using just a few clicks and zero code.
Bring your data processes together seamlessly by combining data flows and models into workflows. Automatically schedule and run these workflows, keeping your data warehouse up-to-date without any manual effort. Enjoy a fully automated, self-sustaining system that works on its own.
Etrailer.com uses Astera Data Warehouse Builder to streamline data warehousing and reduce time to value by 50%.
By enabling connectivity with Dynamics AX, SQL Server, ADP API, Active Directory (LDAP), AzureSQL/Synapse, and SAP, Astera facilitated a comprehensive view of DexKo’s global operations. DexKo was able to reduce time spent on data extraction and data transformations by 40%.
“Overall, Astera has allowed us to go from no data warehouse and no automated processes to a fully functioning data warehouse. After creating the data flows and workflows, scheduling them, and the initial data validation, Astera just runs like a well-oiled machine.”
Establish code-free connectivity with your enterprise applications, databases, and cloud applications to integrate all your data points and create a holistic view of your data.
Astera Data Warehouse Builder supports a variety of industry-standard modeling techniques, including Third Normal Form (3NF) for normalized database design, Dimensional Modeling for star and snowflake schema creation, and Data Vault Modeling for scalable and agile data warehousing.
No, tool provides a unified interface where users can manage data modeling, ETL processes, and deployment within the same environment. This eliminates the need for switching between multiple tools or interfaces.
Building and maintaining a custom infrastructure for data warehouse automation is time-consuming, costly, and resource-intensive. Astera Data Warehouse Builder provides a ready-to-use platform with built-in automation, eliminating the need for extensive development, reducing errors, and accelerating deployment times.
The tool supports a wide range of data sources, including databases, flat files, APIs, and cloud storage solutions like AWS, Azure, and Google Cloud. See the full list here.
Yes, it supports flexible deployment options, including on-premises, cloud, or hybrid environments.
Implementation times vary based on the complexity of your requirements but are typically significantly faster compared to traditional data warehouse development.
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