Udacity Nano Degree for Data Engineering and Big Data

A directory of Udacity Nanodegree programs that are ideal for data engineering and big data, edited by the editors of Solutions Review.

SR searchData engineering is the process of designing and building a pipeline that transfers data and transforms it into a state that is available to data workers. Data pipelines typically take data from many different sources and collect them as a single source in a data warehouse that represents the data. To do this, the data engineer must manipulate and analyze the data from each system as a pre-processing step.

With this in mind, the Solutions Review editors have put together a list of Udacity Nanodegrees that are best suited for data engineering and big data. Udacity is ideal for taking multiple courses, learning skills in multiple different disciplines, or for accessing the entire course library or study path for the deepest possible experience. In total, Udacity has more than 160,000 students in more than 190 countries.

Udacity Nano Degree for Data Engineering and Big Data

Title: Become a data engineer nanodegree

Our take: This module describes how to build a production-ready data infrastructure. This training will take 5 months to complete. We also recommend intermediate skills between Python and SQL.

explanation: Learn about designing data models, building data warehouses and data lakes, automating data pipelines, and working with large datasets. Combine new skills by completing the Capstone project at the end of the program. Students will learn how to create relational and NoSQL data models to meet the diverse needs of data consumers, hone their data warehousing skills, and gain a better understanding of their data infrastructure.

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Title: Become a data architect Nanodegree

Our take: Learn how to plan, design, implement, and create blueprints for enterprise data structure solutions. This nanodegree program will take four months to complete.

explanation: This program plans, designs, and implements enterprise data infrastructure solutions and creates a blueprint for your organization’s data management system. Use PostGreSQL to create relational databases, design online analytical processing (OLAP) data models to build cloud-based data warehouses, and design scalable data lake architectures to meet your big data needs. Finally, you’ll learn how to apply data governance principles to your organization’s data management system.

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Title: Data streaming nanodegree

Our take: This program will help you learn the skills to improve your data engineering career. Students also build real-time applications for processing big data and compile data execution analysis.

explanation: Learn how to process data in real time with fluent use of the latest data engineering tools such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. Start by understanding the components of your data streaming system. Next, build a real-time analytics application.

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Title: Learn SQL Nanodegree

Our take: This Udacity Nanodegree helps you learn SQL, the core language of big data for big data analysis. Students need to prepare a basic understanding of data types and plan to spend two months on this training.

explanation: Perform analysis of data stored in relational and non-relational database systems to enhance strategic decision making. Learn how to determine, create, and execute SQL and NoSQL queries for manipulating and analyzing large datasets. Start by leveraging the power of SQL commands, functions, and data cleaning methodologies to join, aggregate, and clean up your tables. It also uses full performance tuning analysis to provide strategic business recommendations.

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Udacity Nano Degree for Data Engineering and Big Data

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