Enterprise Big Data Engineering Program
Machine Learning using Databricks and Delta Lake
(Weekend based live sessions)
Program Overview :
Learners will use Apache Spark to parallelize computations over Azure cloud powered by Databricks and Delta Lake to hide the complexity of data distribution and fault-tolerance.
The program will also establish strong foundations in the key Big Data pipeline using Azure Databricks – an Apache Spark-based analytics platform optimized for the Microsoft Azure Cloud.
• Learners will practice on the Databricks platform – a very first of its kind experience in the market.
• The platform comes with an easy to use Jupyter notebook interface and allows seamless integration with APIs, other platforms and datasets.
• Data Lake as a strategy in Data Analytics is not covered in many Apache Spark courses. Our program covers integration with Delta Lake – an open source implementation of Data Lake, using Apache 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.