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Big Data Architecture Workshop (BDAW)

 

Kursüberblick

The Cloudera Big Data Architecture Workshop (BDAW) is a 3-day learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system.

Throughout the highly interactive workshop, participants apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for participants to learn techniques for architecting big data systems, not only from Cloudera’s experience but also from the experiences of fellow participants.

More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection.

The workshop will be divided into small groups to discuss the problems and develop solutions. Each group will select a spokesperson who will present the group’s findings to the workshop. There will not be any programming labs, but we will have solutions implemented and deployed in the cloud for demos during the workshop.

Voraussetzungen

To gain the most from the workshop, participants should have working knowledge of technologies such as HDFS, Spark, Map-Reduce, Hive/Impala, Data Formats and relational database management systems. Detailed API level knowledge is not needed, as there will not be any programming activities.

Kursinhalt

  • Introduction
  • Application Vertical Slice
  • Application Processing
  • Application Data
  • Scalable Applications
  • Fault Tolerant Distributed Systems
  • Security and Privacy
  • Deployment
  • Technology Selection
  • Software Architecture
Classroom Training

Dauer 3 Tage

Preis (exkl. MwSt.)
  • Deutschland: 2.195,- €

Sprache der Kursunterlagen: Englisch

Derzeit gibt es keine Trainingstermine für diesen Kurs.  Termin anfragen