ARCH-492: Architecting Cloudera Edge to AI Course Overview:

Designing Edge to AI Applications” is an intensive four-day educational event tailored to delve into sophisticated aspects of big data architecture for crafting edge-to-AI applications. Encompassing streaming, operational data processing, analytics, and machine learning, this workshop offers a platform to unite technical experts in collaborative exploration of intricate solutions for demanding business challenges.

The workshop navigates through overarching big data architecture concerns before channeling them into the creation of an innovative system design. Through dynamic engagement, participants apply theoretical knowledge to real-world scenarios, fostering comprehensive discussions that yield detailed insights. This interactive setting facilitates the absorption of techniques for architecting robust big data systems, enriched not only by Cloudera’s expertise but also the collective experiences of peers.

Specifically, the workshop tackles advanced big data architecture facets such as data formats, transformations, transactions, real-time and batch processing, machine learning, scalability, fault tolerance, security, and privacy. By addressing these topics, the workshop systematically mitigates the risk of unsound architecture choices and suboptimal technology selections, culminating in a comprehensive and practical skillset.

Intended Audience:

• Participants should mainly be architects, developer team leads, big data developers, data engineers, senior analysts, dev ops admins and machine learning developers who are working on big data or streaming applications and have an interest in how to design and develop such applications on CDP.

Learning Objectives of ARCH-492: Architecting Cloudera Edge to AI:

• Cloudera Data Platform
• Big Data Architecture
• Building Scalable applications
• Building Fault Tolerant Solutions
• Security and Privacy Deployment on Public, Private, and Hybrid Cloud