The career opportunities available in the field and the different paths you can take to enter this field are discussed in the course. You will also learn about security, governance, and compliance.ĭata Engineering is recognized as one of the fastest-growing fields today. In this course, you will learn about the data engineering lifecycle. It also includes performance monitoring and finetuning to ensure systems are performing at optimal levels. You will also learn about Big Data and the use of some of the Big Data processing tools.Ī typical Data Engineering lifecycle includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will learn about each of these components in this course. Data Integration Platforms combine disparate data into a unified view for the data consumers.
Data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores process and store this data. Data Pipelines gather data from multiple sources, transform it into analytics-ready data, and make it available to data consumers for analytics and decision-making. It includes disparate data types, formats, and sources of data. The Data Engineering Ecosystem includes several different components. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. This program is ACE® recommended-when you complete, you can earn up to 12 college credits. This program does not require any prior data engineering, or programming experience. You will gain experience with creating Data Warehouses and utilize Business Intelligence tools to analyze and extract insights. You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark. You will use NoSQL databases and unstructured data. You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load ( ETL ) data. īy the end of this Professional Certificate, you will be able to explain and perform the key tasks required in a data engineering role. Throughout the self-paced online courses, you will immerse yourself in the role of a data engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data. This Professional Certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position.
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