Every system has different functions, some of them can be integrated to bring bigger solutions to businesses, specially for those that manage a big amount of data. In case of eCommerce businesses, information has to be integrated within many systems, such as ERP, so it will be accessible with in the company’s logistic processes.

Data-driven decision-making is fundamental for any business that wants to thrive in today’s cut-throat environment. In fact, there is enough evidence today that proves that data-driven decision-making powered by artificial intelligence (AI) platforms can help businesses expedite their operations, thus saving valuable time and money. Such decisions involve leveraging past information to predict the challenges and opportunities that await an enterprise in the future.

The key to Extract-Load then Transform (ELT) is that the data is landed in a normalized schema. Why? Correctness, flexibility and understandability.

Organizations are improving the quality of their marketing analytics at less cost, which is translating into more overall marketing efficiency – all by adopting the modern data stack.

As time goes by, technology leaders are having a hard time improving IT architectures by using API integrations. Also, data management has become more complex because of the acceleration of digital transformation in companies that want to remain competitive in the market. Do companies know that the urgency of digitalization is here? Are companies aware of the importance of workflow automation and what is the role of APIs in connecting services, applications, and clouds?

Integration between Fivetran and dbt Semantic Layer lets you enhance data models with rich metric definitions and derive value from data quicker and easier.

Transforming your data is an essential part of ELT. Learn how Fivetran’s Wizard for dbt Core™ and BigQuery can help.

With Fivetran on Azure, enterprise customers can now implement fully automated, managed, no-code data pipelines for reliable and secure data delivery.