Acquire a thorough understanding of the strategies involved in building big data pipelines with PySpark, MongoDB, and Bokeh.
Big data pipelines are data pipelines that are built to facilitate one or more of the three characteristics of big data. The speed of big data makes it attractive to create big data streaming data pipelines. Data can be gathered and handled in real time, allowing for action to be taken. EBISYS R&D - Big Data Engineering and Consulting created the Building Big Data Pipelines with PySpark + MongoDB + Bokeh certification course, which is available on Udemy.
Building Big Data Pipelines with PySpark + MongoDB + Bokeh online course is a self-paced program that is aimed at students who want to master the skills and strategies useful for creating data pipelines using the core functionalities of tools like PySpark, Bokeh, and MongoDB. Building Big Data Pipelines with PySpark + MongoDB + Bokeh online classes cover topics like data preprocessing, data loading, data extraction, data manipulation, data transformation, and data visualization as well as explain the techniques to create machine learning scripts, PySpark ETL scripts, and dashboard server.
Yes
Udemy
After completing the Building Big Data Pipelines with PySpark + MongoDB + Bokeh online certification, students will develop an understanding of big data and machine learning to develop big data pipelines using PySpark, MongoDB, Bokeh, and MLlib. Students will explore the methodologies associated with data processing, data analysis, data loading, data transformation, data extraction, data visualization, and data manipulation. Students will also learn about the strategies and concepts involved with geospatial machine learning and geo-mapping.
Brochure has been downloaded.
Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile
