Data Engineering with Azure Course
- Accredited by NASSCOM, Approved by Government of India
- 80 Hours Assignments & Real-Time Projects
- Complementary Hadoop and Spark
- Complementary ML on Cloud
- Complementary Python Programming
- Enroll and avail Government of India (GOI) Incentives after successfully clearing the mandatory Future Skills Prime Assessment
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3117 Learners
Academic Partners & International Accreditations
Course Fee
Data Engineering Course Overview in India
The certification course in Data Engineering with Azure lets you explore Azure in depth, where you can learn how to create a new Azure account, and various sources offered by it. Master in creating containers and uploading files to Azure Blob Storage. The course will introduce you to Azure Data Factory, How to build Data Ingestion Pipelines Using Azure Data Factory, and Azure Data Factory Integration Runtime. Azure Synapse Analytics is given special focus in this course. Learn to handle huge data sets and build data pipelines to optimize processes for Big Data. Dive deeper into advanced data engineering projects which will help you gain practical experience and skills.
What is Data Engineering?
A Data Engineer collects and transforms data to empower businesses to make data-driven decisions. He has to pay attention to security and compliance; reliability and fidelity; scalability and efficiency; and flexibility and portability while designing, operationalizing, and monitoring data processing systems.
Data Engineering Training Learning Outcomes in India
Data Engineering with Azure modules will lay out the foundation for Data Engineering with in-depth knowledge of Azure. The course involves an understanding of creating a new Azure account and exploring various services offered by Azure with a special module dedicated to Azure Synapse Analytics. Students will get a keen understanding of how to handle data, as the course progress, they get to learn how to design as well as build data pipelines and work with big data of diverse complexity and production databases. You will also learn to extract and gather data from multiple sources, build data processing systems, optimize processes for big data, build data pipelines, and much more. With this course develop skills to use multiple data sources in a scalable way and also master the skills involved in descriptive and inferential statistics, interactive data analysis, regression analysis, forecasting, and hypothesis testing. Also, learn to
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Who Should Sign Up?
- Science, Maths, and Computer Graduates
- IT professionals who want to Specialize in Digital Tech
- SQL and related developers or software developers
- Students/IT professionals have an interest in Data and Databases
- Professionals working in the space of Data Analytics
- Academicians and Researchers working with data
- Cloud and BigData enthusiasts
Data Engineering Course Modules
These modules on Data Engineering are designed to ensure that they are at par with the current industry requirements for Data Engineers. All the modules will wrap up with hands-on practice using real tools and real-time multiple databases. With these modules you will learn to manage, load, extract, and transform data to facilitate delivering of results that your organization can leverage. You will also learn to master the core skills of cleansing, and migrating data.
- Intro to Data Engineering
- Data Science vs Data Engineering
- Building Data Engineering Infrastructure
- Working with Databases and various File formats (Data Lakes)
- SQL
- MySQL
- PostgreSQL
- NoSQL
- MongoDB
- HBase
- Apache Cassandra
- Cloud Sources
- Microsoft Azure SQL Database
- Amazon Relational Database Service
- Google Cloud SQL
- IBM Db2 on Cloud
- SQL
- Extra-Load, Extract-Load-Transform, or Extract-Transform-Load paradigms
- Preprocessing, Cleaning, and Transforming Data
- Cloud Data Warehouse Service
- AWS: Amazon Redshift
- GCP: Google Big Query
- IBM: Db2 Warehouse
- Microsoft: Azure SQL Data Warehouse
- Distributed vs. Single Machine Environments
- Distributed Framework - Hadoop
- Various Tools in Distributed Framework to handle BigData
- HBase
- Kafka
- Spark
- Apache NiFi
- Distributed Computing on Cloud
- ML and AI platforms on Cloud
- Various Tools in Distributed Framework to handle BigData
- Databases and Pipelines
- Data Pipeline
- Features of Pipelines
- Building a pipeline using NiFi
- Data Pipeline
- Installing and Configuring the NiFi Registry
- Using the Registry in NiFi
- Versioning pipelines
- Monitoring pipelines
- Monitoring NiFi using GUI
- Using Pything with the NiFi REST API
- Building pipelines in Apache Airflow
- Airflow boilerplate
- Run the DAG
- Run the data pipelines
- Deploy and Monitor Data Pipelines
- Production Data Pipeline
- Creating Databases
- Data Lakes
- Populating a data lake
- Reading and Scanning the data lake
- Insert and Query a staging database
- Building a Kafka Cluster
- Setup Zookeeper and Kafka Cluster
- Configuring and Testing Kafka Cluster
- Streaming Data with Apache Kafka
- Data Processing with Apache Spark
- Real-Time Edge Data with MiNiFi, Kafka, and Spark
- Data Science vs Data Engineering
- Data Engineering Infrastructure and Data Pipelines
- Working with Databases and various File formats (Data Lakes)
- SQL
- MySQL
- PostgreSQL
- NoSQL
- MongoDB
- HBase
- Cloud Sources
- Microsoft Azure SQL Database
- Amazon Relational Database Service
- Google Cloud SQL
- SQL
- Python Programming
- Getting started with Python programming for Data Processing
- Data Types
- Python Packages
- Loops and Conditional Statements
- Functions
- Collections
- String Handling
- File handling
- Exceptional Handling
- MySQL Integration
- INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations
- MongoDB Integration
- Pre-processing, Cleaning, and Transforming Data
- Data Lake Cloud offerings
- Cloud Data Warehouse Service
- Apache Hadoop
- Pseudo Cluster Installation
- HDFS
- Hive
- HBase
- Sqoop
- Big Data and Apache Kafka
- Producers and Consumers
- Clusters Architectures
- Kafka Streams
- Kafka pipeline transformations
- Spark Components
- Spark Executions – Session
- RDD
- Spark DataFrames
- Spark Datasets
- Spark SQL
- Spark Streaming
- Lambda
- Kappa
- Streaming Big Data Architectures Monitoring pipelines
- Building pipelines in Apache Airflow
- Deploy and Monitor Data Pipelines
- Production Data Pipeline
- Building a Kafka Cluster
- Setup Zookeeper and Kafka Cluster
- Configuring and Testing Kafka Cluster
- Streaming Data with Apache Kafka
- Data Processing with Apache Spark
- AWS Sagemaker for end-to-end ML workflow
- Azure Data factory for ETL
How we prepare you
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Additional assignments of over 80+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 support
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Job placements in Data Engineering fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on experience in a live project
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Offline Hiring Events
Call us Today!
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Certificate
Win recognition for your skills with the Data Engineering Certification. Stand out in this emerging yet competitive field with our certification.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
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FAQs for Data Engineering Certification Course Training
The Data Engineering course aims to provide aspirants with an in-depth understanding of all the essential tools and skills used by Data Engineers. The course provides hands-on learning of leading as Python, SQL, Spark, Kafka, and many more.
The training will be conducted in hybrid mode i.e., through the live instructor-led virtual sessions. The timings for both the sessions will be the same.
After the successful completion of 80% of your assignments, you are assigned to a live project where you will work with a group of students to bring the project to closure. After that, you will make a project presentation.
After the successful completion of the program, you will be awarded the Data Engineering certificate, powered by IBM.
This course is designed for students as well as working professionals. The basic requirement to undertake this course includes a degree in engineering, computer applications, or mathematics.
No, there are no extra charges for the certification. The cost is included in the package.
Not to worry, if you miss out on a session you can access the recorded session from the online Learning Management System (LMS).
We do not guarantee placements nevertheless, our placement cell supports you with resume building sessions, mock interviews, mentorship, and interview preparation. Our team also helps you launch your career by providing interview opportunities.
Jobs in Data Engineering In India
A Data Engineer is responsible for developing computer algorithms to identify trends in large data sets. The most common career paths for Data Engineer include Data Scientist, Data Architecture, Data Analyst, and Software Engineers.
Salary for Data Engineers
The demand for Big Data Engineers with strong analytic skills to handle data generated from various platforms with proficiency in SQL database design gets an average salary of Rs 8,17,911 LPA.
Projects in the field of Data Engineering
Data engineering is the most critical skill for a Data Scientist and the various projects students could take up include Analyzing sentiments, Detecting credit card fraud, Detection of color, and many more.
Role of Open Source Tools in Data Engineering
The various tools we will be exploring in this course are Apache Hadoop, Apache Spark, Apache Hive, Apache Kafka, NoSQL, and many more.
Modes Of Training For Data Engineering
The course in Data Engineering is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of interactive live online learning. We also support e-learning as part of our curriculum.
Industry Applications of Data Engineering
Data Engineers dominate many industries including Banking, Media, Education, Healthcare, manufacturing, etc.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sunil Kumar Behera
8 months agoI've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
Balu Malli Reddy
8 months agoI'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
Manu R
12 months agoThe data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
J Vivek
10 months agoOne of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
Kattamuri Mallikarjuna Rao
11 months agoThe teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
Mounika Devalamkadi
9 months agoIt was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
Kanishta Pal
8 months agoIt was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
Gani Ganesh
7 months agoI found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
Balasubramanian Siddnipalli
9 months ago360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
MD Kaif Khan
9 months agoExcited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
Rohith Reddy
7 months ago360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
Janu Reddy
10 months agoThe data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
Sai Abhilash
8 months agoDuring my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Anji Ranjith
9 months agoGreat institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
