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Best Data Engineering Course Training in Raipur

Master the fundamentals of Data Engineering and get real-time experience working with multiple Databases, Python, and SQL.
  • 40 Hours of Live Sessions & 20 Hours of eLearning Videos
  • Complementary Hadoop and Spark
  • Complementary ML on Cloud
  • Complementary Python Programming
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Data Engineering certification course reviews - 360digitmg
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Data Engineering certification course reviews - 360digitmg
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Academic Partners & International Accreditations

Data engineering is about generating quality data and making it available for businesses to make data-driven decisions. Requirement for Data Engineering professionals has always outstripped the supply since 2017. Data Engineers enable businesses to engage in insights produced by data science using advanced analytics. This course in Data Engineering will equip you to build big data superhighways by teaching you the skills to unlock the value of data. According to reports, Data Engineer is the fastest-growing job in the space of technology, and with this course in Data Engineering, you will be able to kick start your new career as a Data Engineer today!

Course Fee

Data Engineering Training Overview in Raipur

Certified Course on Data Engineering explores the various tools Data Engineers use and find out the difference in the job responsibilities of a Data Scientist and a Data Engineer. It expands learners' understanding of the various skills involved, like Python, Spark, Kafka, Bigquery, Azure Data Factory, AWS Glue, Airflow etc., along with SQL techniques. Students get a chance to extract raw data from various data sources in multiple formats and transform them into actionable insights, and deploy them into a single, easy-to-query database. They learn to handle huge data sets and build data pipelines to optimize processes for big data. Students get a chance to dive deeper into advanced data engineering projects that will help in gaining practical experience.

What is Data Engineering?

A Data Engineer collects and transforms data to empower businesses to make data-driven decisions. He/She 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 Raipur

These modules will lay out the foundation for data science and analytics. The core of Data Engineering involves an understanding of various techniques like data modelling, building data engineering pipelines, and deploying the analytics models. Students will learn how to wrangle data and perform advance analytics to get the most value out of data. As you progress, you'll 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

  • Comprehend the meaning of Data Engineering
  • Understand the Data Engineering Ecosystem and Lifecycle
  • Learn to draw data from various files and databases
  • Acquire skills and techniques to clean, transform, and enrich your data
  • Learn to handle different file formats in both NoSQL and Relational databases
  • Learn to deploy a data pipeline and prepare dashboards to view results
  • Learn to scale data pipelines in the production environment

Data Engineering Course Modules in Raipur

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.

1. Introduction to the world of Data

  • Data Analyst vs Data Scientist vs Data Engineer
  • Role of a Data Engineer
  • Data Engineer Lifecycle

  • Choosing Technical Considerations
  • Data Modeling according to Business Logic
  • Data Preprocessing steps before Analytics like Machine Learning

  • Data Lake vs Datawarehouse vs Data Lakehouse architectures
  • ETL
  • ELT
  • Hybrid
  • Lambda
  • Kappa

  • Operational Databases (OLTP)
  • Analytical Databases (OLAP)
  • Flat Files & APIs
  • Streaming Data Sources
  • Third-Party Data Sources
  • Cloud Storage & Data Lakes
  • IoT & Sensor Data

  • Real time vs Batch vs Hybrid data processing
  • Distributed Environments and Frameworks - Hadoop

  • Features of Spark
  • Spark Core and Spark APIS – RDDs, DataFrames, DataSets, Spark SQL
  • Pyspark vs Pandas dataFrames
  • DataBricks

  • Kafka
  • Spark Streaming
  • Apache Flink

  • Airflow Architecture
  • DAGs
  • Scheduling ETL jobs
  • Logs – Debugging and Monitoring
  • Running Airflow Locally and Cloud

  • Introduction to AWS platform, Creation of free account
  • Walk through the platform and services offered by AWS
  • IAM - Identity and Access Management
  • Intro to AWS Data Warehouses, Data Marts, Data Lakes, and ETL/ELT pipelines
  • Configuring the AWS Command Line Interface tool
  • Creating an S3 bucket
  • Working with Databases and various File formats (Data Lakes)
  • Amazon Database Migration Service (DMS) for ingesting data
  • Amazon Kinesis and Amazon MSK for streaming data
  • AWS Lambda for transforming data
  • AWS Glue for orchestrating big data pipelines
  • Consuming data - Amazon Redshift & Amazon Athena for SQL queries

  • Introduction to Microsoft Azure platform, Creation of free account
  • Walk through the platform and services offered by Azure
  • IAM - Identity and Access Management
  • Azure Data Lake - Managing Data
  • Securing and Monitoring Data
  • Introduction to Azure Data Factory (ADF)
  • Building Data Ingestion Pipelines Using Azure Data Factory
  • Azure Data Factory Integration Runtime
  • Configuring Azure SQL Database
  • Processing Data with Azure Databricks
  • Introduction to Azure Synapse Analytics
  • Data Transformations with Azure Synapse Dataflows
  • Monitoring And Maintaining Azure Data Engineering Pipelines

  • Introduction to GCP platform, Creation of free account
  • Walk through the platform and services offered by GCP
  • IAM - Identity and Access Management
  • Bigdata Solutions with GCP Components
  • Data Warehouse - BigQuery
  • Processing ETL/ELT pipelines with Data Fusion
  • Connecting BI tool for visualizing Data with Looker Studio
  • Architecting Data Pipelines
  • CI/CD On Google Cloud Platform for Data Engineers

  • Snow Flake Architecture
  • Snow Flake Integrations
  • Load and Query Data in SnowFlake
SUNY University Syllabus

  • Storage Accounts
  • Designing Data Storage Structures
  • Data Partitioning
  • Designing the Serving Layer
  • Physical Data Storage Structures
  • Logical Data Structures
  • The Serving Layer
  • Data Policies & Standards
  • Securing Data Access
  • Securing Data
  • Data Lake Storage
  • Data Flow Transformations
  • Databricks
  • Databrick Processing
  • Stream Analytics
  • Synapse Analytics
  • Data Storage Monitoring
  • Data Process Monitoring
  • Data Solution Optimization

  • Google Cloud Platform Fundamentals
  • Google Cloud Platform Storage and Analytics
  • Deeper through GCP Analytics and Scaling
  • GCP Network Data Processing Models
  • Google Cloud Dataproc
  • Dataproc Architecture
  • Continued Dataproc Operations
  • Implementations with BigQuery for Big Data
  • Fundamentals of Big Query
  • APIs and Machine Learning
  • Dataflow Autoscaling Pipelines
  • Machine Learning with TensorFlow and Cloud ML
  • GCP Engineering and Streaming Architecture
  • Streaming Pipelines and Analytics
  • GCP Big Data and Security

  • Certificate Course in Data Engineering by SUNY

GenAI assistants and models

  • ChatGPT
  • Claude
  • Gemini
  • Llama
  • Perplexity

AI-assisted and vibe coding

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Replit

Agentic AI frameworks

  • LangChain
  • Hugging Face
  • Ollama

Zero-code AI automation

  • n8n
  • Zapier
  • Make

Deploy and MLOps

  • MLflow
  • Streamlit
  • Docker
  • Databricks
  • AWS
  • Google Cloud

Trends in Data Engineering Certification in Raipur

Data engineering is fundamental to managing data and automating workflows. Data Engineers ensure that the data is analyzed to produce high-quality data that businesses can utilize to finding the latest trends. This year will see a tremendous elevation in the use of artificial intelligence, machine learning, and data science in an increasingly connected and data-driven world. The data engineering trends can be divided into Data Infrastructure, Data Architecture, and Data Management categories. Data lineage, data quality, and data discovery tools which are components of Metadata management will merge into the mainstream data management platform.

To drive this unified data management platform, we will see significant adoption of Data mesh principles and vital changes in the data engineering architecture is will include serverless architecture. Cloud data warehouse systems will emerge as an assurance for the future to tightly integrate with data management systems. The uncertainty of object storage engines, storage costs, and the need for specialized hardware will be the norm in the days to come. Data Engineering will play a crucial role in the processes of the future to develop, expand, and deploy new technologies. Enroll in the Data Engineering course with 360DigiTMG to fast-track your career in this data-driven environment.

How we prepare you

  • data engineering course with placements
    Additional assignments of over 80+ hours
  • data engineering course with placements training
    Live Free Webinars
  • data engineering training institute with placements
    Resume and LinkedIn Review Sessions
  • data engineering course with certification
    Lifetime LMS Access
  • data engineering course with USP
    24/7 support
  • data engineering certification with USP
    Job assistance in Data Engineering fields
  • best data engineering course with USP
    Complimentary Courses
  • best data engineering course with USP
    Unlimited Mock Interview and Quiz Session
  • best data engineering training with placements
    Hands-on experience in a live project
  • data engineering course with USP
    Offline Hiring Events

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"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

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

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

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

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

Gowtham R

Data Engineer

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

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

Venu Panjarla

AVP Technology

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FAQs for Data Engineering Certification Training in Raipur

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 the field of Data Engineering in Raipur
Jobs in Data Engineering In Raipur

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.

Salaries in Raipur for Data Engineering professionals
Salary for Data Engineers in Raipur

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 in Raipur
Projects in the field of Data Engineering in Raipur

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 in Raipur
Role of Open Source Tools in Data Engineering in Raipur

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 training in Raipur
Modes Of Training For Data Engineering in Raipur

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 Application of Data Engineering certification in Raipur
Industry Applications of Data Engineering in Raipur

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.

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