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Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.
It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.
SageMaker also has a library of machine learning tools that you can use without having to install any other software. Cloud service features include:
Wave is an online accounting software that offers an efficient and affordable solution for small businesses and freelancers. With an intuitive and easy-to-use interface, Wave allows users to keep accurate track of their finances quickly and easily.
Azure Data Factory (ADF) is a powerful data integration service for Microsoft's Azure platform, enabling you to automate and manage the movement of data between on-premises, cloud and third-party data sources.
It provides a graphical interface to easily create, schedule and monitor data pipelines that are built using Azure technologies such as Azure Data Lake Analytics, Power BI Premium and HDInsight. With these tools, you can create a variety of workloads such as extract-transform-load (ETL), real-time streaming analytics, machine learning, and advanced analytics jobs.
Azure Data Factory integrates with Azure Storage, Azure Blob Storage and Azure SQL Database. It also integrates with other Microsoft products such as Power BI, Machine Learning Studio, HDInsight and R Server.
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