Amazon Redshift, part of Amazon Web Services, is typically the final destination of many data integration projects. Data-driven companies move data from various locations to Amazon's user-friendly, high-performance cloud data warehouse so they can run that data through business intelligence (BI) tools such as Looker and Zoho. This process helps these companies gain unparalleled real-time insights into their organizational workloads so decision-makers can improve workflows.

Microsoft customers can discover, transact and deploy Fivetran’s fully managed and automated data pipelines in Azure and more.

Whether you’re adding to your app ecosystem or working on a full digital transformation business strategy, your aim is a smooth enterprise integration process. But when you’re working with multiple programming languages, brands, or operating systems, it can get complicated quickly. API integration is now critical to business functionality in an increasingly technical world. It’s the best way to avoid compatibility issues with all your apps and opens the door for future implementations.

Data lakes serve as central destinations for business data and offer users a platform to guide business decisions.

This discussion has been going for years: who wins the battle of EDI vs API? On the one hand, EDI is considered to be a legacy technology that is difficult to implement and maintain. Yet at the same time many enterprise-grade software systems have it as a key element of information communication. In fact EDI continues to play an integral role specifically in the supply chain oriented industries such as logistics, automotive and, of course, retail.

Learn why data transformation is essential to data modeling and bringing your organization to the forefront of data literacy.

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The iPaaS market is clearly growing now at a faster pace than ever anticipated. This is not only due to the pandemic forcing companies to accelerate the digital transformation, but also in general due to the rise of SaaS. The replacement of older, server-bound software solutions with more modular, user-friendly and flexible SaaS solutions means customers need to connect these disparate cloud systems somehow if they want their business to become truly data driven.

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