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 with Data Streaming - Nanodegree at Udacity . 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.
This program is designed to upskill experienced Software Engineers and Data Engineers to learn the latest advancements in data processing, sending data records continuously to support live updating.
The projects in the Data Streaming Nanodegree program will prepare you to develop systems and applications capable of interpreting data in real-time, and position you for roles in all industries that require live data processing for functions including big data, cloud computing, web personalization, fraud detection, sensor monitoring, anomaly detection, supply chain maintenance, location-based services, and much more.
Get more detailsVisit official programme website
- Streaming API Development and Documentation
- Foundations of Data Streaming
Check out the full curriculumVisit official programme website
- 2 months
- 5 hrs/week
Start dates & application deadlines
DisciplinesComputer Sciences Data Science & Big Data Web Technologies & Cloud Computing View 614 other Short Courses in Computer Sciences in United States
Explore more key informationVisit official programme website
We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
This Nanodegree program accepts everyone, regardless of experience and specific background.
The Data Streaming Nanodegree program is designed for students with intermediate Python and SQL skills, as well as experience with ETL. Basic familiarity with traditional batch processing and basic conceptual familiarity with traditional service architectures is desired, but not required.Intermediate Python programming knowledge, of the sort gained through the Programming for Data Science Nanodegree program, other introductory programming courses or programs, or additional real-world software development experience. Including:
- Strings, numbers, and variables; statements, operators, and expressions;
- Lists, tuples, and dictionaries; Conditions, loops;
- Procedures, objects, modules, and libraries;
- Troubleshooting and debugging; Research & documentation;
- Problem solving; Algorithms and data structures
Make sure you meet all requirementsVisit official programme website
International678 USD/fullTuition FeeBased on the tuition of 678 USD for the full programme during 2 months.
National678 USD/fullTuition FeeBased on the tuition of 678 USD for the full programme during 2 months.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Double-check all feesVisit official programme website
Apply and win up to €10000 to cover your tuition fees.