Training Machine Learning Models with data in your Data Lake

Data Lake

Data lakes are popular because they provide a consolidated, centralized storage area for raw, unstructured, semi-structured, and structured data taken from multiple sources and lacking a predefined schema. They specialize in ingesting structured, semi-structured and unstructured data and provide mechanisms to easily ingest streaming data in addition to batch loads. Data lakes are open format so users avoid lock-in to a proprietary system like a data warehouse. They are also highly durable and low cost because of their ability to scale and leverage object storage.

Machine Learning Models

Machine learning models are computer programs that are used to recognize patterns in data or make predictions. They are created from machine learning algorithms, which are trained using either labeled, unlabeled, or mixed data. Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Machine learning is popular because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Meta, Google and Uber, make machine learning a central part of their operations. Machine learning is also popular because computation is abundant and cheap. Abundant and cheap computation has driven the abundance of data we are collecting and therefore the increase in capability of machine learning methods.

With the growing popularity of both data lakes for storage and machine learning models for AI deployments, it is unsurprising that many organizations are seeking to train machine learning models using data in their data lake. Kaspian offers native connectors for the most popular data lakes. Just register your data lake as a datastore and link your model training job; Kaspian's autoscaling compute layer makes it easy to train and deploy machine learning models using any data in your cloud with minimal setup or management.

Learn more about Kaspian and see how our flexible compute layer for the modern data cloud is already reshaping the way companies in industries like retail, manufacturing and logistics are thinking about data engineering and analytics.