Typedef provides purpose-built AI data infrastructure services for cloud workloads that handle LLM-powered pipelines, unstructured data processing, inference complexity, and batch AI workloads in production. The company is advancing from prototypes to scalable, production-ready AI workloads through a new release of Fenic. Fenic is an open source, PySpark-inspired DataFrame designed for building AI and agentic applications. PySpark is an open source API for Python and Apache Spark that enables big data analytics, fast data processing, and machine learning integration with Python. A dataframe is a tabular, two-dimensional structure with rows, columns, and keyed lists for identifiers.
Typedef provides purpose-built AI data infrastructure services for cloud workloads that need to handle LLM-powered pipelines, unstructured data processing, inference complexity and the running of batch AI workloads in production. In other words, management of all AI infrastructure complexity. The company says it is now going one step further and turning AI prototypes into scalable, production-ready workloads. This development manifests itself in a new release of the company's open source project Fenic, a PySpark-inspired DataFrame for building AI and agentic applications.
To define these terms, PySpark is an open source software application programming interface (API) for Python and Apache Spark. According to online technology learning company Coursera, "This popular data science framework allows [developers] to perform big data analytics and speedy data processing for data sets of all sizes. It combines the performance of Apache Spark and its speed in working with large data sets and machine learning algorithms with the ease of using Python to make data processing and analysis more accessible."
Further then, a dataframe is best defined as a "tabular data structure" that consists of both rows and columns (not unline a database or a spreadsheet file) that contains a "dictionary of lists" which here means that every list has its own identifiers or keys, such as "day of the week" or "cost" and so on. It is essentially a two-dimensional table of whatever size is needed for a given data job.
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