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عربي
عربي
Why Attend
Big data is a change agent that challenges the ways in which organizational leaders have traditionally made decisions. This course provides participants with the conï¬dence to store, process, analyze and present big data use cases within their organizations. This course provides a multitude of hands-on labs with Spark, a key big data technology used to solve data intensive problems. Participants will gain the knowledge and skills they need to assemble and manage a large-scale big data analytics project. Lastly, participants will work through advanced machine learning and deep learning use cases.
Overview
Course Outline
Schedule & Fees
Methodology
This course will be highly technical with group discussions, hands-on practical exercises, and group activities being the core focus.
Course Objectives
By the end of the course, participants will be able to:
Understand key big data technologies, including a deep dive into Apache Spark
Describe the main challenges and advantages of Hadoop map-reduce
Demonstrate and discuss key technologies for big data storage and compute, such as PostgreSQL and object storage
Discuss popular machine learning algorithms, deep learning techniques and the importance of ethics in data analytics and artiï¬cial intelligence
Deliver a presentation demonstrating the analytics lifecycle and Spark
Target Audience
This course is ideal for data engineers, AI engineers and data scientists. Recommended pre-knowledge includes some python programming experience and data visualization practice.
Target Competencies
Big data utilization
Big data analytics structures and technologies
Ethics and integrity for big data and AI development
Big data storage
Apache Spark best practices
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