Prepzee's Cloud Masters program changed my career from SysAdmin to Cloud Expert in just 6 months. Thanks to dedicated mentors, I now excel in AWS, Terraform, Ansible, and Python.
Great learning experience through the platform. The curriculum is updated and covers all the topics. The trainers are experts in their respective fields and follow more of a practical approach.
Nice experience, I will recommend it to all the learners who are willing to join and learn IT skills. I was able to switch my domain from non-IT to IT in a reputed MNC
You’re an IT Professional who is looking for a career in Data Engineering especially dealing with Cloud-based solutions.
You’re looking to switch domains into the Future Proof Data Industry without going into Statistics and coding may start in Data Engineering.
You’re a DBA, with experience in database management and SQL, and can transition into data engineering roles with ease.
You’re a Data Analyst/ Scientist who wants to work with data at a larger scale and manage data pipelines that may transition into data engineering.
Including Top 3 Data Engineering Tools according to Linkedin Jobs
Learn by doing multiple labs in your learning journey.
Get a feel of Data Engineering professionals by doing real-time projects.
Interview Prepration, Resume Writing, Job Requirements
Instructors are Microsoft Certified Trainers.
Attend multiple batches until you achieve your Dream Goal.
Introduction to Python for Apache Spark
Deep Dive into Apache Spark Framework
Mastering Spark RDD’s
Dataframes and SparkSQL
Apache Spark Steaming Data Sources
Core Concepts of Kafka
Where is Kafka Used
Understanding the Components of Kafka Cluster
Configuring Kafka Cluster
Different Components of Airflow
Understanding Airflow Web UI
DAG Operators & Tasks in Airflow Job
Create & Schedule Airflow Jobs For Data Processing
Create plugins to add functionalities to Apache Airflow
Introduction of SnowFlake Data Warehousing Service
Complete Setup of SnowFlake
Create Data Warehouse on SnowFlake
Analytical Queries on SnowFlake Data Warehouse
Understand the entire Snowflake workflow from end-to end
Undestanding SnowPark (Execute PySpark Application on SnowFlake)
Lab 1 : Explore Compute & Storage options for Data Engineering Workloads
Lab 2 : Load and Save Data through RDD in PySpark
Lab 3 : Configuring Single Node Single Cluster in Kafka
Lab 4 : Run Interactive Queries using Azure Synapse Analytics Serverless SQL Pools
Lab 5 : Data Exploration and Transformation in Azure Databricks
Lab 6 : Explore Transform and Load Data into the Data Warehouse using Spark
Lab 7 : Ingest and Load Data into the Data Warehouse
Lab 8 : Transform Data with Azure Data Factory or Azure Synapse Pipeline
Lab 9 : Real Time Stream Processing with Stream Analytics
Lab 10 : Create a Stream Processing Solution with Event Hub and Databricks
14+ Years of experience
15+ Years of experience
12+ Years of experience
17+ Years of experience
The primary role involves designing, building, and maintaining data pipelines and infrastructure to support data-driven decision-making.
Responsible for integrating data from various sources, ensuring data quality, and creating a unified view of data for analysis.
Designing and managing data warehouses for efficient data storage and retrieval, often using technologies like Databricks, Snowflake and Azure.
Specializing in data engineering within cloud platforms like AWS, Azure leveraging cloud-native data services.
Providing expertise to organizations on data-related issues, helping them make informed decisions and optimize data processes.
Designing the overall data architecture for an organization, including data models, storage, and access patterns.
Our tutors are real business practitioners who hand-picked and created assignments and projects for you that you will encounter in real work.
Ingest data into a data lake and apply PySpark for data integration, transformation, and optimization. Create a system that maintains a structured data repository within a data lake to support analytics
Create a robust data warehousing solution in Snowflake for a retail company. Ingest and transform sales data from various sources, enabling advanced analytics for inventory management and sales forecasting.
Build a comprehensive ETL (Extract, Transform, Load) pipeline that automates the extraction, transformation, and loading of data into a data warehouse. Implement scheduling, error handling, and monitoring for a robust ETL process.
Perform standard DataFrame methods to explore and transform data.Key Points:Create a lab environment. Azure Databricks cluster.
The project includes loading data into Synapse dedicated SQL pools with PolyBase and COPY using T-SQL. Use workload management and Copy activity in an Azure Synapse pipeline for petabyte-scale data ingestion.
The project revolves around building data integration pipelines to ingest from multiple data sources, transforming data using mapping data flows and notebooks, and performing data movement into one or more data sinks.
Enrolling in the Cloud Master Course by Prepzee was a game-changer for me. The comprehensive curriculum covering AWS, DevOps, Azure, and Python gave me a holistic understanding of cloud technologies. The hands-on labs were invaluable, and I now feel confident navigating these platforms in my career. Prepzee truly delivers excellence in cloud education. The balance between theory and practical application was perfect, allowing me to grasp complex concepts with ease. I'm grateful for the opportunity to have learned from industry experts through this course.
Prepzee's Cloud Master Course exceeded my expectations. The course materials were detailed and insightful, providing a clear roadmap to mastering cloud technologies. The instructors' expertise shone through their teachings, and the interactive elements made learning enjoyable. This course has undoubtedly been a valuable asset to my professional growth.
I wanted a comprehensive cloud education, and the Cloud Master Course at Prepzee delivered exactly that. The course content was rich and well-presented, catering to both beginners and those with prior knowledge. The instructors' passion for the subject was evident, and the hands-on labs helped solidify my understanding. Thank you, Prepzee!
Prepzee has been a great partner for us and is committed towards upskilling our employee.Their catalog of training content covers a wide range of digital domains and functions, which we appreciate.The best part was there LMS on which videos were posted online for you to review if you missed anything during the class.I would recommend Prepzee to all to boost his/her learning.The trainer was also very knowledgeable and ready to answer individual questions.
-John C. Maxwell
- Leonardo da Vinci