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Deploying trained models takes models from the lab to live environments and ensures they meet business requirements and drive value. Model deployment can bring great value to organizations, but it is not a simple process, as it involves many phases, stakeholders and different technologies. In this article, we provide recommendations for data professionals who want to improve and streamline their model deployment process.

Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.

Say goodbye to constant “One-Offs” and hello to “Set It and Forget It”

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. Can you achieve similar outcomes with your on-premises data platform? You absolutely can.

Practical advice for starting your journey to analytics excellence.

When it comes to choosing a business intelligence (BI) solution vendor for your business, there are a variety of factors to consider. One important area of comparison is the natural language query (NLQ) features offered by different BI vendors. NLQ is increasingly becoming a key capability of the modern self-service analytics experience, as it allows users to ask complex questions of their data, and receive insightful answers in the form of a pre-generated, best practice data visualizations.

All of the tools a small data team needs to turn their disparate data into a centralized data strategy, powered by Fivetran.

If you're seeking an ETL tool to streamline your data integration processes, Integrate.io, Talend, and Matillion, are three options to consider. Each tool has its own strengths and weaknesses that make them better suited for different businesses and teams.