Data Engineering Course Training in Hyderabad, Bangalore, Pune & india(Online)
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, sessions.
Our Data Engineering course will provide you with in-depth knowledge in SQL, Python, data pipelines, data transformation, Spark, and cloud services of AWS and Azure. Multiple Data Engineering courses and real-world projects help you master core concepts & skills like creating production-ready ETL and pulling data from multiple data sources, building cloud data warehouses, Data Modeling, etc.
4.8 Rating3 Months
Duration
2500+
Course Enrollments
100%
Placement Assistance
EMI
Partner Banks
Key Highlights Of Course
Key Highlights of Course 100+ Hourse of Course
Student Mentorship
Capstone Projects
15+ Assignments
Backup Classes, Videos
100% Placements Assistance
EMI Option Available
Mock Interview
Interview Preparation
Resume Building After Every Module
Data Engneering Certification Course Curriculam
Data Engineering Training Modes
We have Physical instructor led classes happening at Himayath Nagar , Ameerept & Hitech City Branches, Hyderabad.
We teach Courses online Using tools like zoom, Microsoft Teams.
How E-Learning Works?
We have recorded videos of the trainer . This videos were recorded while taking the class. We kept in mind that student should feel the classroom environment while training. we request you to take a trail session. if you are satisfied you can take up the course.
For trail session and more information you can contact dataminds sales team on +917995159109 or write us at info@dataminds.in
We offer special Training for Companies we first understand the company, its services and we will diagnose the present marketing practices and then we prepare a customized curriculum that suits to the needs of that particular company.
For Corporate training you can Reach our Sales Team at +918008884446 or you can also write to us at info@dataminds.in
Data Engineering Live Projects
In this IoT project, you will be discussing a general architecture for building smart IoT infrastructure. With the trending advance of IoT in every facet of life, technology has enabled us to handle a large amount of data ingested with high velocity. This big data project discusses IoT architecture with a sample use case.
This is a fictitious pipeline network system called SmartPipeNet, a network of sensors with a back-office control system that can monitor pipeline flow and react to events along various branches to give production feedback, detect and reactively reduce loss, and avoid accidents.
This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Finally, the data is published and visualized on a Java-based custom Dashboard.
Aviation Data can segment passengers, observe their behavioral patterns, and reach out to them with relevant, targeted promotions. This helps improve customer service, enhance customer loyalty, and generate new revenue streams for the airline.
In this use case, you will learn how to get streaming data from an API, cleanse data, transform it to get insights, and visualize the data in a dashboard.
This data engineer project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). The Yelp dataset, which is used for academic and
research purposes, is processed here. Create a service account on GCP and download Google Cloud SDK(Software developer kit). Then, Python software and all other dependencies are downloaded and connected to the GCP account for other processes. Then, the Yelp dataset downloaded in JSON format is connected to Cloud SDK, following connections to Cloud storage which is then connected with Cloud Composer. The Yelp dataset JSON stream is published to the PubSub topic. Cloud composer and PubSub outputs are Apache Beam and connected to Google Dataflow. Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization.
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Our Alumni Testimonials
Rated Avg 4.8* Out Of 5 by 2000+ Learners
Data Engineering Course Training Fee
Rs. 40,000/- | 3 Months
Data Minds Learning Plus
✓ Options to choose either Classroom, Online Or Self paced Learning
✓ 100+ Learning Hours
✓ World Class Learning Management System (Long Term – 1Year Access with Mentor facility)
✓ 10+ Projects
✓ 100% Placement Assistance
✓ Dedicated Placement Manager for Interview Process
✓ Access to the Instructor for doubts clarification during and after the course
✓ Connect to our Network with alumni ,working with different Industries
Our Students Hail From
Students, Working Professionals & Business Owners From Various Start Ups And MNC’s
FAQs for Professional Data Engineering
1.What is Data Engineering?
Data Engineering is an aspect of Data Science focused on the practical application of data collection and data pipelining. A Data Engineer builds and maintains the organization’s data pipeline and data processing systems by cleaning and wrangling it to ensure reliable data.
Who Should learn Data Engineering?
- Science, Maths, Compute Graduates
- IT professionals who want to Specialize in Digital Tech
- SQL and related developers or software developers
- Students/IT professionals having an interest in Data and Databases
- Professionals working in the space of Data Analytics
- Academicians and Researchers working in the space of Data Analytics/Science
- Cloud and BigData enthusiasts
2. What tools Will I learn in this Data Engineering Certification Course?
This Data Engineering certification course covers 10+ in-demand tools, including Python, Scala, Apache Spark, MongoDB, SQL Amazon Sage maker, Azure Cosmos DB, and many more.
3. What are different roles in Data Engineering?
Upon completing this Data Engineering program, you can apply for various job roles like Big Data Engineer, Data Analyst, professional data engineer, or Data Warehouse Engineer.
4. What are best advanced data engineering course?
The GCP Data and Machine Learning Specialization provides a comprehensive understanding of the development and deployment of machine learning models in the cloud. Additionally, the Microsoft Azure Data Engineering Professional Certificate offers foundational cloud knowledge for aspiring data engineers in the workplace. Lastly, the Software Architecture and Big Data Specialization provides cutting-edge courses in distributed systems, engineering big data applications, and designing algorithms.
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