# Analytics Engineering with SQL and dbt

With the shift from data warehouses to data lakes, data now lands in repositories before it’s been transformed, enabling engineers to model raw data into clean, well-defined datasets. […]

With the shift from data warehouses to data lakes, data now lands in repositories before it’s been transformed, enabling engineers to model raw data into clean, well-defined datasets. […]

The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a […]

Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you’ll be able to solve healthcare’s most pressing […]

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with […]

Simplify data science infrastructure to give data scientists an efficient path from prototype to production.