The editors at Solutions Review have compiled this list of the best Udacity big data courses (top-rated) to consider taking.
The growing importance of data management best practices and techniques for delivering against big data are becoming paramount in the enterprise. The big data landscape is evolving in real-time, which has organizations scrambling to utilize their data architectures soundly. Coupled with this, Hadoop and the data lake have emerged as technologies no company can ignore, as they complement the data warehouse quite nicely, and in some cases are even replacing it.
With this in mind, the editors at Solutions Review have compiled this list of top-rated Udacity data analytics courses to consider taking during the platform’s 75 percent off through March 12 (with code SPRING75 at checkout) deal. Udacity is perfect for those looking to take multiple courses or acquire skills in multiple different areas, or for those who want the most in-depth experience possible through access to entire course libraries or learning paths. In sum, Udacity is home to more than 160,000 students in more than 190 countries.
Note: Our editors assembled this directory by listing top-rated Udacity big data courses in the most popular associated coverage areas including Hadoop, data warehousing, ETL (Extract, Transform, Load), Cloudera, Apache Cassandra, data management, and MuleSoft.
Description: Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. Students will learn to create relational and NoSQL data models to fit the diverse needs of data consumers, as well as sharpen your data warehousing skills and deepen your understanding of data infrastructure.
Description: Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.
Description: In this program, you’ll plan, design and implement enterprise data infrastructure solutions and create the blueprints for an organization’s data management system. You’ll create a relational database with PostGreSQL, design an Online Analytical Processing (OLAP) data model to build a cloud based data warehouse, and design scalable data lake architecture that meets the needs of Big Data. Finally, you’ll learn how to apply the principles of data governance to an organization’s data management system.
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