We recently announced a three-part webinar series on automating various stages of data warehousing. The first part of the series, titled Turbocharge Data Warehouse Deployment with Automated Schema Modeling, went live on 5^th October 2021.

Together with Astera’s product experts and prominent data thought leader, James Serra, we had an insightful discussion on the topic. The webinar was focused on the importance of centering your data warehouse development on employing good design practices and automating data modeling to build a flexible and robust BI architecture faster.

Watch Recorded Webinar

We Talked About the Importance of Good DW Design for Effective Analytics

Our product evangelists explained how creating accurate, validated data models right from the start of your project can streamline the overall data warehousing process. In essence, it allows you to create a blueprint that encapsulates all aspects of your source data, from entities to their attributes and the relationships between them in the form of metadata. By utilizing metadata from data models, you can streamline subsequent processes such as deploying schema on your target data warehouse, constructing self-regulating data pipelines, to even consuming data in BI tools.

We also highlighted how the iterative approach to data modeling is the way for organizations to make it easier to integrate new data sources and futureproof your data warehouse schema. This means that instead of building your data warehouse all in one go, you have the freedom to make amends to ensure that it accurately delivers even if your source data has changed over time.

Our guest speaker, James Serra, confirmed the viability of this approach and shared his thoughts on how building and automating your schema modeling paves the way for self-service BI. Serra also spoke about how focusing on design and getting your schema right directly translates into a high-quality data warehouse deployment, which can speed up the rest of the processes.

We Showed How Automated Schema Modeling Works in Astera DW Builder

Introducing viewers to the data-model-centric approach, we explained and demonstrated how our data warehouse automation tool, Astera DW Builder, simplifies and automates schema modeling to build and deploy a data warehouse in just a few weeks.

Astera DW Builder’s drag-and-drop interface ensures that you don’t have to type a single line of code when designing or deploying your data models. We showed how users can create comprehensive data models from existing source systems with just a few clicks through its feature-rich data model designer.

Highlighting the importance of enriching your schemas, Astera’s product experts also explained how Astera DW Builder allows you to enrich your schemas with additional specifications, like table attributes, data types, primary keys, foreign keys. At the dimensional model level, you can define SCD-types for dynamic fields, effective/expiry dates, and surrogate keys to facilitate effective loading and querying in minutes from simple drop-down lists.

Lastly, we covered how users can ensure the quality of their deployment at any point with the built-in data model verification module. It checks for all possible logical and compliance errors and provides context to pinpoint where they are with just a single click, allowing you to ensure the stability of your data models.

This unified approach to data warehousing and the out-of-the-box automation features of Astera DW Builder help you supercharge your development process, cutting down deployment time significantly.

Here’s a clip from the webinar demonstrating how Astera DW Builder makes schema modeling a breeze.

 

Ready to automate your schema modeling? Take Astera DW Builder out on a test drive or get a live demo for your specific use case today.