Fivetran needs to be able to authenticate to the Oracle RDS database, so I’ll provide those credentials. When I need some support, I have access to the Setup Guide in the right gray navigation bar. Setting up an Oracle database source in Fivetran, regardless of the flavor of Oracle, is simple and standardized. Oracle databases and applications are a popular option to connect to Synapse Safety means that no matter what, Fivetran should never cause problems in the source database. Correctness means that the destination is always an accurate replica of the database source. As outlined in the Fivetran documentation, database connectors are designed for correctness and safety. Ultimately, it’s about delivering timely, usable and trusted data with data movement pipelines that don’t break.
Databases are updated frequently, so capturing and persisting those changes on a timely basis to Synapse is foundational. There’s significant value in moving these RDMBS data sets to Azure Synapse to unify analytics, data apps and AI/ML workloads on an enterprise cloud data platform.įivetran’s automated data movement platform handles just about any source type including applications, events and files, but I’ll focus on database sources for now.
I’ve worked with large enterprises and large government agencies throughout my career and they all have at least one thing in common: a lot of databases running everything from core financials to operational applications or industry-specific apps. Deployment specifics (networking, security, privacy, access, current process, etc.).Utilization % and Users (Total, Type (reporting, etc.).Complexity (data types, customization, etc.).Size again (schemas, tables, largest tables, # columns).Size (total, redo, archive, change rates, change rate timing, etc.).Patterns, use cases, applications (for this database).Here’s my top ten list of data pipeline design considerations for databases as a source (in case you’re thinking about choosing to build from scratch): In addition, the teams building one-off pipelines are dealing with constant one-offs such as an API rate limit change, schema changes, table changes, data type assignments, orchestration, security, connectivity, etc.įollowing the "one-off" model above is a long way from “set it and forget it” - I typically call that model “set it and keep your fingers crossed”. A single new dataset typically takes anywhere from 4-6 sprints (8-12 weeks) to cover all core activities outlined in the diagram below. To fully understand the value of Fivetran with Azure Synapse, I like to start with what it takes to create a new data pipeline from scratch - start to finish.Īlmost every new data product, analytic model or report requires a new dataset or subset of data that requires a new data pipeline. Creating data pipelines is more than just the “build” Microsoft and Fivetran take that to the next level!” Our customers are asking for ease of use in combination with a powerful data analytics environment. And what’s even more powerful is the combination of Fivetran and the Microsoft Intelligent Data Platform, including Synapse Analytics. Fivetran helps our Azure customers take modern data management to an entirely new level. In this post, I will focus primarily on how Fivetran and Azure Synapse operate together, but I’ll also touch on the other subjects above, which should help you gain a better understanding, regardless of whether you are a Microsoft partner or a customer.Īdditionally, I reached out to Scott Fitzharris, General Manager of Azure Data & AI in the Enterprise Commercial South Region, for his insights on the Fivetran-Synapse partnership, and here's what he had to say: “Personally, I love the power that Fivetran puts into the hands of the people that need it the most. How straightforward is it for Microsoft clients to purchase Fivetran through the Azure Marketplace?.How does Fivetran differ from Azure Data Factory (ADF)?.Does Fivetran support Azure Synapse, and how can it benefit my Microsoft clients?.Here are some of the questions that arise: Since Fivetran expanded our partnership with Microsoft and joined the Microsoft Intelligent Data Platform partner ecosystem, we’ve seen a surge in requests from Microsoft consulting services partners (both GSIs and SIs) seeking a comprehensive understanding of our Automated Data Movement Platform.
The "wow" factor of Fivetran is hard to miss. They are impressed by the speed, simplicity and self-service nature of our platform and recognize how it can expedite their clients' ability to deliver data products and services. One of the most enjoyable aspects of my role is witnessing the reactions of our consulting services partners when I demo Fivetran.
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