What will be the focus of this course?

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 on tools like Python, SQL, Spark, Kafka, and many more.

What will be the mode of training?

The training will be conducted in hybrid mode i.e., through the classroom as well as live instructor-led virtual sessions. The timings for both the sessions will be the same.

When do I get to work on live projects?

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.

When do I get my certificate?

After the successful completion of the program, you will be awarded the Data Engineering certificate, powered by IBM.

Who all can pursue a Data Engineering course?

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.

Do I need to pay extra to receive a certificate?

No, there are no extra charges for the certification. The cost is included in the package.

What if I miss out on a session?

Not to worry, if you miss out on a session you can access the recorded session from the online Learning Management System (LMS).

Do I get a job guarantee?

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.

Best Data Engineering Course Training in Raipur

Name: Data Engineering Course Training in Raipur - 360DigiTMG
Brand: 360DigiTMG
Rating: 5 (3117 reviews)

Master the fundamentals of Data Engineering and get real-time experience working with multiple Databases, Python, and SQL.

60 Hours Classroom & Online Sessions
80 Hours Assignments & Real-Time Projects
Complementary Hadoop and Spark
Complementary ML on Cloud
Complementary Python Programming

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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!

Data Engineering

Program Cost

INR 85,000 55,000+Tax

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Data Engineering Training Overview

Explore the various tools data engineers use and find out the difference in the job responsibilities of a Data Scientist and a Data Engineer. Expand your understanding of the various skills involved in to know Get exposed to tools like Python, Spark, Kafka, Jupyter. Spyder, TensorFlow, Keras, PyTorch, etc. along with advanced SQL techniques. Extract raw data from various data sources in multiple formats and then transform them into actionable insights, and deploy them into a single, easy-to-query database. 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 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

Block Your Time

60 hours

Classroom Sessions

80 hours

Assignments

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Who Should Sign Up?

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

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. Data Engineering

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
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
Databases and Pipelines
- Data Pipeline
  - Features of Pipelines
  - Building a pipeline using NiFi
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

2. Building a Real-Time 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
Real-Time Edge Data with MiNiFi, Kafka, and Spark

3. Intro to Data Engineering

Data Science vs Data Engineering
Data Engineering Infrastructure and Data Pipelines

4. Data Sources

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

5. Concepts of Extra-Load, Extract-Load-Transform, or Extract-Transform-Load paradigms

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

6. Data Lakes

Data Lake Cloud offerings
Cloud Data Warehouse Service

7. Big Data Tools

Apache Hadoop
- Pseudo Cluster Installation
- HDFS
- Hive
- HBase
- Sqoop

8. Apache Kafka

Big Data and Apache Kafka
Producers and Consumers
Clusters Architectures
Kafka Streams
Kafka pipeline transformations

9. Apache Spark

10. Data Architectures

Lambda
Kappa
Streaming Big Data Architectures Monitoring pipelines

11. Introduction to Apache Airflow

Building pipelines in Apache Airflow
Deploy and Monitor Data Pipelines
Production Data Pipeline

12. Building a Real-Time 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

SUNY University Syllabus

1. Data Engineering on Microsoft Azure New!

2. Google Data Engineer New!

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

3. Certificate from SUNY University New!

Certificate Course in Data Engineering by SUNY

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.