Enterprise Big Data Engineering Program
Machine Learning using Spark
– As predicted by Qianzhan Industry Research Institute
With organizations moving from traditional architectures to modern data architectures, data engineers have become very critical resources to build data pipelines with new relevant technologies that can scale and run on the cloud.
In today’s dynamic and competitive market, every organization looks for deeper analytics and insights to take up any enterprise level transformations. Employee skill development ensures that the workforce is ready to facilitate this transformation.
This program helps organisations deep skill their workforce in order to equip
them with disruptive solutions that enable them to work on Big Data using
modern Big Data architectures like Delta Architecture.
Application submission is followed by an interactive
video discussion with one of our mentors for guidance
regarding choosing the right specialization.
(Weekend based live sessions)
Program Overview :
The program seeks to establish strong foundations in key software engineering methodologies and imparts skills in building scalable enterprise data pipelines for analysis using Apache Spark. It will also empower learners with the skills to scale Data Science and Machine Learning tasks on Big Data sets using Apache Spark.
• Our program decouples Apache Spark in a logically consistent manner.
• It covers three most popular ML algorithms (decision trees, clustering and regression) and is indispensable to those building ML-based analytical solutions.