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Learn how Artificial Intelligence is being applied in modern business.

Ideal for those involved in the development, administration, and change management of the DataStage environment and programs, this paper provides guidance on simplifying the DataStage change management process and helps you understand what's required to promote DataStage objects from one environment to another, or in the worst case, disaster recovery.

Discover the characteristics and methods involved in making good decisions.

Contribute to the adoption of machine learning and AI features in your business.

Learn how Amazon Aurora can enable powerful, massively scalable relational databases in Amazon's cloud environment.

Discover what the Internet of Things (IoT) is, where it can affect the most short-term change, its impact on existing networks, as well as some business, cultural, and ethical considerations.

Exclusive – In this course we will cover the foundations and advanced concepts surrounding the integrity of data in modern management systems. In today's digital age, the importance of data integrity cannot be overstated. As data becomes increasingly central to business operatio...

Exclusive – Storytelling in Data will explore the concept of Data Visualization, understanding what it is, the various types of charts, and how to choose the right visualization for the data at hand. Learners will also be introduced to Generative AI Tools for data visualization,...

Discover why Amazon Redshift is one of the most talked about and fastest growing services that Amazon Web Services (AWS) has ever released.

With Microsoft SQL Server 2016, you can distribute your data to the cloud using the Stretch Database feature to improve local access.