#ProgramaçãoGlobal #eBook #JulesSDamji #BrookeWenig #TathagataDas #DennyLee
☕DOE UM CAFÉ
Uma introdução acessível e muito prática ao poderoso framework de processamento distribuído Apache Spark.
Apresenta o uso da ferramenta com Python, Java e Scala, explorando com clareza suas principais APIs.
e-Book | Learning Spark (Jules S. Damji / Brooke Wenig / Tathagata Das / Denny Lee)
e-Book | Data Pipelines Pocket Reference (James Densmore)
e-Book | Building Event-Driven Microservices (Adam Bellemare)
e-Book | Kafka: The Definitive Guide (Neha Narkhede / Gwen Shapira / Todd Palino)
e-Book | Streaming Systems (Tyler Akidau / Slava Chernyak / Reuven Lax)
e-Book | Data Management at Scale (Piethein Strengholt)
e-Book | Database Internals (Alex Petrov)
e-Book | The Data Warehouse Toolkit (Ralph Kimball / Margy Ross)
e-Book | SQL Performance Explained (Markus Winand)
e-Book | Seven Databases in Seven Weeks (Eric Redmond / Jim R. Wilson)
e-Book | Spark: The Definitive Guide (Bill Chambers / Matei Zaharia)
e-Book | High Performance MySQL (Silvia Botros / Jeremy Tinley)
e-Book | The Pragmatic Programmer (Andrew Hunt / David Thomas)
e-Book | A Philosophy of Software Design (John Ousterhout)
e-Book | Designing Data-Intensive Applications (Martin Kleppmann)
e-Book | Working Effectively with Legacy Code (Michael Feathers)
e-Book | Fundamentals of Data Engineering (Joe Reis / Matt Housley)
e-Book | Data Mesh (Zhamak Dehghani)
Muito útil para cientistas e engenheiros que precisam processar grandes volumes de informações rapidamente.




