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Learn how to import data from 40+ sources for no-code machine learning using Amazon SageMaker Canvas.

Amazon SageMaker Canvas is a powerful tool that allows users to build and deploy machine learning models without the need for coding. One of the key features of SageMaker Canvas is its ability to import data from over 40 different sources, making it easier than ever to get started with machine learning.Importing data is a crucial step in any machine learning project. The quality and quantity of the data you use will directly impact the accuracy and effectiveness of your model. With SageMaker Canvas, you can easily import data from

Developing a Data Exchange Strategy for the Post-Pandemic Era

The COVID-19 pandemic has had a profound impact on the global economy and the way businesses operate. As the world begins to emerge from the pandemic, organizations must develop a data exchange strategy that will enable them to remain competitive in the post-pandemic era. Data exchange is the process of sharing data between two or more entities. It is a critical component of any organization’s digital transformation strategy and can help drive innovation and efficiency. In the post-pandemic era, data exchange will become even more important as businesses strive to

Integrating Amazon Athena into Applications via WebSocket API

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. It is a serverless, interactive query service that allows users to analyze data directly in Amazon S3 using standard SQL. With the introduction of WebSocket API, developers can now integrate Amazon Athena into their applications and take advantage of the powerful analytics capabilities of Athena. The WebSocket API allows developers to interact with Athena in real-time, enabling them to quickly build applications that can query data stored in Amazon S3.