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" ... MindsDB is an open-source automated machine learning platform made for data scientists and developers to quickly train and deploy models. “Our mission is to put machine learning in the hands of more people,” says chief operating officer Adam Carrigan. Through MindsDB, data can be used straight from the database, datastores or business intelligence tools to generate AI-driven forecasts for what matters most to the business. Through its simple interface, users can train and deploy machine learning models directly in the database with a few code lines, standard query language or a few clicks. The open-source tool has more than 10,000 users; in late 2020, it began offering paid premium services. ... "
" ... This is a frequent requirement of ML use cases. For example, a financial institution may require information on all accounts for a group of customers from across all its business lines to drive cross-sell and upsell opportunities spanning its entire product portfolio. Source systems for such an application can include data lakes, data warehouses, operational data stores, SaaS applications and streaming data sources. Most DIHs also support a wide variety of APIs to ensure both access to the source datastores and access by the consuming applications. For continuous learning frameworks that require aggregated data from multiple source systems made available to multiple consuming applications, a DIH can ensure real-time performance while reducing the number of API calls to the source data. ... "
" ... • Up front, dig deeper into whether you plan to use datastores inside or outside of Kubernetes clusters to address container persistency limitations. ... "