Learn to build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka.
Data Architecture with Python will teach you how to integrate your machine learning and data science work streams into your data platform. You will also learn how to take your data and build open lakehouses that can combine with any technology. This book will give you deep hands-on experience with tools like Kafka, Apache Spark, MongoDB, Neo4J, Delta Lake MLFlow, and SQL Dashboards.
By the end of this journey, you would have amassed a wealth of hands-on and theoretical knowledge to architect your own data ecosystems.
This book is great for developers, analytics engineers, and managers looking to further develop a data ecosystem within their organization. Basic Python will be useful but not required, Also, experience with data is useful but not necessary to read and do the labs.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9781801070492_new
Anzahl: Mehr als 20 verfügbar