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Cloud Computing IV for Developers

Learn how to put the latest open source technology into practice with hands-on training, delivered by industry experts, aligned to your desired business outcomes

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2 Days

Available On-Site

Available Virtually

Open Enrollments Available
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Customizable

Data Analysis at Scale

This course explores cloud-based analytics platforms demonstrating highly scalable, hosted batch and stream processing solutions. The curriculum includes coverage of the Amazon AWS and Google GCP cloud platforms as well as essential open source solutions, including Hadoop, Spark, and Kafka. Cloud-based data processing services including big data storage facilities, ETL tools, batch, and stream-based machine learning and analytics processing solutions. Upon completion of the course, attendees will have a deeper understanding of streaming and batch-based data processing technologies in common use and how to leverage the unique features of the big data platforms in the cloud.

Delivery

Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery; Open Enrollment options may be available.

Who Should Attend

Developers, Architects, DevOps, Quality Assurance (QA) personnel and Professional Services staff

What Attendees will learn

This intensive two day hands-on course is designed to provide participants with a foundational understanding of big data streaming and processing in the cloud from a developer’s perspective. Learning modules include:

  • Big Data in the cloud: data acquisition and processing, Apache Hadoop, cloud based data warehouses
  • Streaming and stream processing: data streaming, stream processing, stream analytics, Apache Spark, machine learning

Prerequisites

Each participant must have a laptop with internet access and the ability to run a 64 bit virtual machine. Knowledge of basic programming concepts is required; knowledge of a specific programming language is not required.