This resource is no longer available
Unlocking Data Science on the Data Lake using Dremio, NLTK and Spacy
For many data scientists, it can be a struggle to work with data spread across a variety of sources; and because of the diversity of data being produced and stored, it is almost impossible to use SQL to query all these data silos.
While sometimes necessary, compiling an ETL pipeline for data preparation is often a time and resource-consuming process.
A quality data pipeline, one that is able to access all of this information from different sources, can give your data scientists a holistic view of the data at their fingertips, giving them more time to analyze it.
Read this resource to see how Dremio can empower your business to build your own pipeline to streamline data access from a variety of sources.