Learning Path : Advanced Architecture for Big Data Applications /

Sharpen your architectural skills by understanding challenges in the main areas of distributed systems: storage, computation, messaging, timing, and consensus. You'll learn how to develop highly scalable big data applications using Apache Accumulo, to model and design an agile data warehouse, a...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores Corporativos: O'Reilly (Firm), Safari, an O'Reilly Media Company
Formato: Electrónico Video
Idioma:Inglés
Publicado: O'Reilly Media, Inc., 2016.
Edición:1st edition.
Temas:
Computer software > Development.
Big data.
Computer architecture.
Streaming video.
Données volumineuses.
Ordinateurs > Architecture.
Vidéo en continu.
streaming video.
Big data
Computer architecture
Computer software > Development
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Sharpen your architectural skills by understanding challenges in the main areas of distributed systems: storage, computation, messaging, timing, and consensus. You'll learn how to develop highly scalable big data applications using Apache Accumulo, to model and design an agile data warehouse, and to use Elasticsearch to search, aggregate, analyze, and scale large volume datastores. You'll also learn how to identify insecurities in your big data cluster, and to secure them using MIT Kerberos, authentication with Active Directory, and authorization.
Notas:Not recommended for use on the libraries' public computers.
Descripción Física:1 online resource (1 streaming video file, approximately 23 hr., 19 min.)

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