About this book
Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.
The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions.
What You'll Learn:
- Become fluent in the essential concepts and terminology of data science and data engineering
- Build and use a technology stack that meets industry criteria
- Master the methods for retrieving actionable business knowledge
- Coordinate the handling of polyglot data types in a data lake for repeatable results
data science polyglot data science data engineering data lake data vault and data mart data warehouse bus matrix data scrubbing techniques data science technology stack actionable business knowledge Spark, Mesos, Akka, Cassandra, Kafka, Elasticsearch, R machine-to-machine machine learning IoT and embedded systems fog computing MQTT graph database super steps of the functional layer grids and clusters torus network