Introduction to Data Engineering

International Business Machines Corporation, or IBM, is a renowned technology company based in the United States. As a leader in driving technological advancement, IBM offers opportunities for you to be part of a community that focuses on innovation and research. You will have access to a company that has been at the forefront of technological development for over a century, with a strong presence in cloud computing, artificial intelligence, and cybersecurity.

Specifically, IBM focuses on delivering enterprise solutions in areas like cloud computing, artificial intelligence, cybersecurity, and quantum computing. With 345 programs available, you can explore different aspects of technology and consulting services. For instance, IBM's AI platform Watson has revolutionized data analytics and machine learning, giving you a unique opportunity to learn from industry leaders.

As you join IBM, you will be part of a global network with a strong presence in the United States. You will have opportunities to engage with a company that holds thousands of patents and is committed to addressing global challenges through technology. With its headquarters in Armonk, New York, you will be close to a major hub for business and technology, offering a unique blend of academic and professional experiences.

Introduction to Data Engineering is a non-degree program for beginners, taught in English, and offered by International Business Machines Corporation (IBM) in the United States. This program helps you start your journey in data engineering, a fast-growing profession. You'll gain foundational knowledge and learn about the roles of Data Engineers, Data Scientists, and Data Analysts.

The curriculum covers core concepts, processes, and tools in data engineering, including data structures, file formats, and languages used by data professionals. You'll learn about data platforms, repositories like Relational and NoSQL databases, Data Warehouses, and Data Lakes. The program also covers Big Data processing tools like Apache Hadoop and Spark, as well as ETL, ELT, Data Pipelines, and Data Integration. Hands-on labs will help you work with relational databases and perform querying operations.

Upon completion, you can pursue careers as a Data Engineer, Data Scientist, Data Analyst, Data Architect, or Business Intelligence Developer. You'll be prepared to work in various industries, including technology, finance, and healthcare, with top employers like IBM, Google, or Microsoft. The skills you gain will help you architect data platforms, design data stores, and gather, import, wrangle, query, and analyze data, making you a valuable asset to any organization.