We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.

Data Engineer Training Overview

Introduction to Data Engineering Course

Introduction:

Data Engineering is becoming increasingly important in today’s business environment as a result of the exponential growth of data and the need to derive meaningful insights from it. As a result of the advancement of technologies like the Internet of Things (IoT), social media, and online transactions, organisations are producing enormous amounts of data every day. Data engineers are crucial for managing, analysing, and analysing this data to produce business value. If you aspire to become a proficient Data Engineer, look no further than 3RI Technologies. With their Data Engineering Course with placement, you can acquire the necessary skills and knowledge to embark on a successful career in this exciting field.

Why Choose 3RI Technologies for Data Engineering Course?

Cutting-Edge Curriculum: At 3RI Technologies, the Data EngineerClasses in Puneis precisely planned to cover every facet of this fast-expanding industry. The curriculum is regularly revised to reflect the most recent business trends, ensuring that students are given information that is both pertinent and useful. Every crucial aspect of data engineering is thoroughly covered, from data gathering and storage through data modelling, processing, and visualisation.
Experienced Faculty: Any training program’s effectiveness depends on having qualified and skilled instructors. The team at 3RI Technologies is comprised of industry leaders with strong backgrounds in data engineering. The learning process is made more practical and powerful by the lecturers’ extensive academic knowledge as well as their useful insights from actual projects.
Hands-On Projects: You cannot prepare for the challenges of the actual world solely through theory. As a result, 3RI Technologies places a strong emphasis on practical projects that allow for hands-on learning. Students have the chance to deal with actual datasets while utilising different data engineering methods and tools. Their ability to solve problems is improved, and they gain the confidence they need to succeed in the field.
Industry-Recognized Data Engineer Certification: You will receive certificates that are recognized in the IT industry once you have finished the Data Engineer Certification course at 3RI Technologies. Your abilities and knowledge are validated by these certificates, providing you an advantage in the employment market. Candidates that have certificates are valued by employers because they demonstrate a dedication to lifelong learning and professional development.
Placement Assistance: The Data Engineer Course with placement at 3RI Technologies is one of its best qualities. They actively assist students in obtaining job placements and have strong connections with the top companies in the sector. The dedicated placement team helps you construct a résumé, performs practice interviews, and offers career advice so you are well-prepared for job interviews.
Course Flexibility: The Data Engineer Course in Pune from 3RI Technologies supports a range of learning styles with the option of offline or online classes. Students can benefit from face-to-face interactions with expert trainers and peers during offline classes for quick question clarification and stimulating discussions. However, Data Engineer online course allows students the flexibility of remote learning, enabling them to access course materials from any location with an internet connection and complete their studies at their own pace. Regardless of the mode they select, students can expect a high-quality education, practical understanding, and extensive data engineering learning.

Course Eligibility

Ideal for recent graduates in Computer Science or related fields.
Suitable for Freshers in computer science or related fields.
Software Engineers, Testers, Database Administrators, and Business Analysts can benefit from the course.
The course helps professionals transition into data engineering and broaden their skill set.
It provides opportunities for professionals to explore new career avenues in the field of data engineering.
Professionals can leverage their existing skills and experience to excel in data management, processing, and analysis.
The course equips working professionals with the necessary knowledge and tools to succeed in the dynamic field of data engineering.

Overview of Data Engineering Course

Overview of Data engineering Course

Data Engineering course offered by 3RI Technologies covers a wide range of important topics in depth. In addition to learning the fundamentals of Python programming, students will also get practical expertise in handling and interpreting data. Additionally, they will obtain a solid understanding of SQL and Data Structures, enabling them to efficiently maintain and query databases.

This course also emphasises important data engineering issues like data gathering, storing, integrating, and processing. The students will learn about the principles of Data Warehousing, which comprises developing and enhancing data storage systems to support efficient analytics and decision-making.Additionally, students will gain hands-on experience with well-known tools and technologies used in the industry, such as AWS for cloud-based data processing and storage and Apache Spark for processing enormous amounts of data.

Throughout the course, students will work on real-world simulation projects that will allow them to apply their knowledge and skills. The hands-on Data Engineer Training and Placement will deepen their understanding of data engineering processes and enhance their capacity for problem-solving. After completing the course, students will have a strong foundation in Data Engineering and be prepared to explore rewarding career opportunities in roles requiring data administration, processing, and analysis.

Data Engineering Employment Opportunities

A competent Data Engineer is in high demand as companies become more and more data-centric. Companies in a range of sectors, including Technology, E-Commerce, Banking, And Healthcare, are actively looking for experts who can manage and optimize their data infrastructure. You can open up a world of thrilling employment prospects with the Data Engineer Training at 3RI Technologies, including:

Data Engineer: Data Engineers are in charge of planning, constructing, and managing data infrastructure and pipelines. They guarantee the smooth transfer of data between systems, allowing analysts and data scientists to derive valuable insights. Working with cutting-edge tools like Apache Hadoop, Apache Spark, and cloud-based data platforms will be part of your job as a data engineer.
Big Data Engineer:Big data engineers with the necessary skills are in high demand due to the big data industry’s fast growth. These experts use distributed computing frameworks like Apache Hadoop and Apache Spark to manage and process large datasets. You can start a lucrative career as a Big Data engineer with the knowledge you’ll acquire from the course.

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data engineering course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

1: Fundamentals of Statistics & Data Science

Fundamentals of Data Science and Machine Learning

Introduction to Data Science
Need of Data Science
BigData and Data Science’
Data Science and machine learning
Data Science Life Cycle
Data Science Platform
Data Science Use Cases
Skill Required for Data Science

Mathematics For Data Science

Linear Algebra
- Vectors
- Matrices
Optimization
- Theory Of optimization
- Gradients Descent

Introduction to Statistics

Descriptive vs. Inferential Statistics
Types of data
Measures of central tendency and dispersion
Hypothesis & inferences
Hypothesis Testing
Confidence Interval
Central Limit Theorem

Probability and Probability Distributions

Probability Theory
Conditional Probability
Data Distribution
Distribution Functions
- Normal Distribution
- Binomial Distribution

2: MS Excel

Using Spreadsheet

What is Excel?
Why Use Excel?
Excel Overview
Excel Ranges,Selection of Ranges
Excel Fill,Fill Copies,Fill Sequences,Sequence of Dates
Excel add,move,delete cells
Excel Formulas
Relative and Absolute References

Functions

SUM
AVERAGE
COUNT
MAX & MIN
RANDBETWEEN
TRIM
LEN
CONCATENATE
TODAY & NOW

Advanced Functions

Excel IF Function
Excel If Function with Calculations
How to use COUNT, COUNTIF, and COUNTIFS Function?
Excel Advanced If Functions

Data Visualization

Excel Data Analysis – Data Visualization
Visualizing Data with Charts
Chart Elements and Chart Styles
Data Labels
Quick Layout

3: RDBMS: SQL

An Introduction to RDBMS & SQL
Data Retrieval with SQL
Pattern matching with wildcards
Basics of sorting
Session summary
Order by clause
Aggregate functions
Group by clause
Having clause
Nested queries
Inner join
Multi join
Outer join
Adding and Deleting columns
Changing column name and Data Type
Creating Table from existing Table
Changing Constraints Foreign key

4: Python for Data Science

An Introduction to Python

Why Python , its Unique Feature and where to use it?
Python environment Setup/shell
Installing Anaconda
Understanding the Jupyter notebook
Python Identifiers, Keywords
Discussion about installed module s and packages

Conditional Statement ,Loops and File Handling

Python Data Types and Variable
Condition and Loops in Python
Decorators
Python Modules & Packages
Python Files and Directories manipulations
Use various files and directory functions for OS operations

Python Core Objects and Functions

Built in modules (Library Functions)
Numeric and Math’s Module
String/List/Dictionaries/Tuple
Complex Data structures in Python
Python built in function
Python user defined functions

4. Introduction to NumPy

Array Operations
Arrays Functions
Array Mathematics
Array Manipulation
Array I/O
Importing Files with Numpy

5. Data Manipulation with Pandas

Data Frames
I/O
Selection in DFs
Retrieving in DFs
Applying Functions
Reshaping the DFs – Pivot
Combining DFs
Merge
Join
Data Alignment

6. SciPy

Matrices Operations
Create matrices
Inverse, Transpose, Trace, Norms , Rank etc
Matrices Decomposition
Eigen Values & vectors
SVDs

7.Visualization with Seaborn

- Seaborn Installation
- Introduction to Seaborn
- Basics of Plotting
- Plots Generation
- Visualizing the Distribution of a Dataset
- Selection color palettes

8. Visualization with Matplotlib

Matplotlib Installation
Matplotlib Basic Plots & it’s Containers
Matplotlib components and properties
Pylab & Pyplot
Scatter plots
2D Plots-
Histograms
Bar Graphs
Pie Charts
Box Plots
Customization
Store Plots

9. SciKit Learn

Basics
Data Loading
Train/Test Data generation
Preprocessing
Generate Model
Evaluate Models

10. Descriptive Statistics

. Data understanding

Observations, variables, and data matrices
Types of variables
Measures of Central Tendency
Arithmetic Mean / Average
- Merits & Demerits of Arithmetic Mean and Mode
- Merits & Demerits of Mode and Median
- Merits & Demerits of Median Variance

11. Probability Basics

Notation and Terminology
Unions and Intersections
Conditional Probability and Independence

12. Probability Distributions

Random Variable
Probability Distributions
Probability Mass Function
Parameters vs. Statistics
Binomial Distribution
Poisson Distribution
Normal Distribution
Standard Normal Distribution
Central Limit Theorem
Cumulative Distribution function

13. Tests of Hypothesis

Large Sample Test
Small Sample Test
One Sample: Testing Population Mean
Hypothesis in One Sample z-test
Two Sample: Testing Population Mean
One Sample t-test – Two Sample t-test
Paired t-test
Hypothesis in Paired Samples t-test
Chi-Square test

14. Data Analysis

Case study- Netflix
Deep analysis on Netflix data

5: Machine Learning

Exploratory Data Analysis

Data Exploration
Missing Value handling
Outliers Handling
Feature Engineering

Feature Selection

Importance of Feature Selection in Machine Learning
Filter Methods
Wrapper Methods
Embedded Methods

Machine Learning: Supervised Algorithms Classification

Introduction to Machine Learning
Logistic Regression
Naïve Bays Algorithm
K-Nearest Neighbor Algorithm
Decision Tress
1. SingleTree
2. Random Forest
Support Vector Machines
Model Ensemble
Model Evaluation and performance
- K-Fold Cross Validation
- ROC, AUC etc…
Hyper parameter tuning
- Regression
- classification

Machine Learning: Regression

Simple Linear Regression
Multiple Linear Regression
Decision Tree and Random Forest Regression

Machine Learning: Unsupervised Learning Algorithms

Similarity Measures
Cluster Analysis and Similarity Measures

Ensemble algorithms

Bagging
Boosting
Voting
Stacking
K-means Clustering
Hierarchical Clustering
Principal Components Analysis
Association Rules Mining & Market Basket Analysis

7. Recommendation Systems

collaborative filtering model
content-based filtering model.
Hybrid collaborative system.

6: Artificial Intelligence & Deep Learning

Artificial Intelligence
- An Introduction to Artificial Intelligence
- History of Artificial Intelligence
- Future and Market Trends in Artificial Intelligence
- Intelligent Agents – Perceive-Reason-Act Loop
- Search and Symbolic Search
- Constraint-based Reasoning
- Simple Adversarial Search (Game-Playing)
- Neural Networks and Perceptions
- Understanding Feedforward Networks
- Boltzmann Machines and Autoencoders
- Exploring Backpropagation
Deep Networks and Structured Knowledge
- Understanding Sensor Processing
- Natural Language Processing
- Studying Neural Elements
- Convolutional Networks
- Recurrent Networks
- Long Short-Term Memory (LSTM) Networks
Natural Language Processing
- Natural Language Processing
- Natural Language Processing in Python
- Studying Deep Learning
- Artificial Neural Networks
- ANN Intuition
- Plan of Attack
- Studying the Neuron
- The Activation Function
- Working of Neural Networks
- Exploring Gradient Descent
- Stochastic Gradient Descent
- Exploring Backpropagation
Artificial and Conventional Neural Network
- Understanding Artificial Neural Network
- Building an ANN
- Building Problem Description
- Evaluation the ANN
- Improving the ANN
- Tuning the ANN
Image Processing / Machine Vision

Image basics
Loading and saving images
Thresholding
Bluring
Masking
Image Augmentation

Conventional Neural Networks

CNN Intuition
Convolution Operation
ReLU Layer
Pooling and Flattening
Full Connection
Softmax and Cross-Entropy
Building a CNN
Evaluating the CNN
Improving the CNN
Tuning the CNN

Recurrent Neural Network

Recurrent Neural Network
RNN Intuition
The Vanishing Gradient Problem
LSTMs and LSTM Variations
Practical Intuition
Building an RNN
Evaluating the RNN
Improving the RNN
Tuning the RNN

Time Series Data

Introduction to Time series data
Data cleaning in time series
Pre-Processing Time series Data
Predictions in Time Series using ARIMA, Facebook Prophet models.

7: GIT Complete Overview

Introduction to Git and Distributed version control
Life Cycle
Create clone & commit Operations
Push & Update Operations
Stash, Move, Rename & Delete Operations

8: Machine Learning in Cloud

Machine Learning Features and Services

Using python in Cloud
How to access Machine Learning Services
Lab on accessing Machine learning services
Uploading Data
Preparation of Data
Applying Machine Learning Model
Deployment by publishung Models using AWS or other cloud computing.

9: Data Visualization with Tableau

1. Introduction to Data Visualization and the Power of Tableau

Architecture of Tableau
Product Components
Working with Metadata and Data Blending
Data Connectors
Data Model
File Types
Dimensions & Measures
Data Source Filters
Creation of Sets.

2. Scatter Plot

Gantt Chart
Funnel Chart
Waterfall Chart
Working with Filters
Organizing Data and Visual Analytics
Working with Mapping
Working with Calculations and Expressions
Working with Parameters
Charts and Graphs
Dashboards and Stories

10: Project Work and Case Studies

Machine Learning end to end Project blueprint
Case study on real data after each model.
Regression predictive modeling – E-commerce
Classification predictive modeling – Binary Classification
Case study on Binary Classification – Bank Marketing
Case study on Sales Forecasting and market analysis
Widespread coverage for each Topic
Various Approaches to Solve Data Science Problem
Pros and Cons of Various Algorithms and approaches
Amazon-Recommender
Image Classification
Sentiment Analysis

Project Domains: Finance

Insurance company wants to decide on the premium using various parameters of the client.
It’s an important problem to keep the clients and attract new ones.

By completing this project you will learn:

How to collect data?, how to justify right features? , Which ML / DL model is best in this situation? How much data is enough?
How to have CI/CD in the project?
How to do Deployment of Project to cloud?

Image Processing in Health care

A hospital wants to automate Detection of pneumonia in X-rays using image processing.

By doing this project you will understand

How to handle image data? How to preprocess and augment image data? How to choose right model for image process?
How to apply transfer learning in image processing?
How to do incremental learning & CI/CD in the project?
How to do Deployment of Project to cloud?

Natural Language Processing

One of the companies wants to automate applicant’s level in English communication.
Create a ML/DL model for this task.

By completing this project you will learn

How to do convert text to right representation? How to preprocess text data? How to select right ML/DL model for text data ?
How to do transfer learning in Text Analytics?
How to do CI/CD in text analytics project?
How to do Deployment of Project to cloud?

Mechanical

A mechanical company wants to perform predictive maintenance of engine parts.
This enables company to efficiently change parts before machine fails.

By performing this task you will learn,

How to handle time series data?
How to preprocess time series data?
How to create ML/DL model for Time series Data?
How to do CI/CD in text analytics project?
How to do Deployment of Project to cloud?

Sales / Demand Forecasting

Predict the sales / demand of a product of a company.
Sales / Demand forecasting of the product will help company efficiently manage the resources.
Create a ML/DL model for this problem.

By performing this project you will learn,

How to handle time series data?
How to preprocess time series data?
How to create ML/DL model for Time series Data?
How to do CI/CD in text analytics project?
How to do Deployment of Project to cloud?

Free Career Counselling

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Who can apply for the course?

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Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

Dedicated Industry Experts Mentors

Receive 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.

Batch Schedule

Schedule Your Batch at your convenient time.

28-Apr-24 | SAT-SUN 8:00 AM to 10:00 AM

13-May-24 | MON-FRI 8:00 AM to 10:00 AM

25-May-24 | SAT-SUN 8:00 AM to 10:00 AM

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Will I Get Certified?

Upon successfully completing this program, you’ll earn a certificate.

The 3RI certification is accepted and respected by every significant multinational company across the nation. Fresh graduates and corporate trainees are eligible for the assistance. We offer certificate once the academic and practical courses have been finished. The certification that we offer here at 3RI is recognized across the country. The value of your resume will grow as a result. With the assistance of this qualification, you will be able to obtain prominent employment posts in the most successful multinational corporations in the country. The completion of our course as well as the projects that are based on practical application, are prerequisites for receiving the certificate.

Data Engineer Certification

DATA SCIENCE Online Course Certification

As you have enrolled in our Data Science online course, you have to attend the online Data Science classes. In case you have missed any class due to any personal or health reasons, you have the chance to attend the same session with another upcoming batch. If that is not possible for you, you may listen to the recording of the previous class. And if you have any doubt, you can clarify them during the next class. Doubt clearance is essential to proceed to the next topic.
You also will get a chance to be part of all the quizzes that will be conducted while the Data Science online classes will be going on. The discussions in the Data Science online class will lead to healthy competitions.
As a practice, you will have to finish all the assignments before time and submit them to the concerned instructor for checking. This will help them in understanding whether you can grasp the concept or not. You will receive timely feedback from them to help you work on your weak areas.
Our instructors will not give direct answers to all the coding examples they will take in the Data Science online class. They will direct you to think for yourself and come up with an innovative solution. If the solution is not correct, they will discuss why it is incorrect and how it can get better.
The Data Science online course will end with an exam that will cover theoretical concepts along with practice exams. This will help us to understand how well have you understood the concepts. You may reattempt the exam if you are not able to perform well in this exam.
After completing all your projects and passing this exam, you will be awarded a Certificate of Completion. The certificate holds value across many reputed companies. This will tell your future employers of your capabilities as a Data Scientist.
In case for some reason you do not clear your exam, our instructors will work with you in partnership. They will try to improve your weak areas. Whenever you are confident you may reappear for the exam and earn your certificate.

What are the necessary criteria to unlock my DATA SCIENCE 3RI Technologies Certification?

You need to complete all your assignments and projects on time to be eligible for Data Science 3RI Certification. If your instructor asks you to make any necessary changes, you would have to do it and show the results back to your instructor for approval.
An online exam will be conducted to assess your knowledge theoretically and practically. You need to pass this exam to be able to be eligible to get the certification.
Along with these exam results, you would be also assessed based on your overall performance during the Data Science online class.
Once you satisfy all the above criteria, you will be eligible to receive the certification.

How long does it take to complete DATA SCIENCE online training?

You will need nearly 3 months to complete the Data Science online course. This will include assignments and project completion time.
If you want to complete this Data Science online course in a shorter time, then you would need to spend more time each day on every topic and complete the assignments before time to proceed to the next topics.
Your primary focus should be to get the maximum knowledge during each Data Science online classes.

What is the value of DATA SCIENCE Online training certification in IT companies?

The Data Science online training will help you to transform from a novice to an expert in Data Science. During the Data Science online course, you will be working on multiple projects and case studies. This kind of project is the real USP of our course. Through this project, you will learn about the development, deployment, and testing phase of a product cycle. You will learn the best practices that can be implemented.
After this, the only thing that is needed to apply your knowledge in the job that you start working for.

How many chances do I get to pass the online exam conducted for DATA SCIENCE online training?

Unless you clear the exam you will not get the certification. If you fail once, you will get another chance to reappear for the exam. You will be closely working with your instructor on your potential weak areas and strengthen your grounds in that particular area.
However, there are only fewer chances that you will not be able to pass this exam if you attend all the Data Science online classes and complete all your assignments and projects.

If, I don’t pass the online exam when can I reappear for the exam again?

If you fail when you attempt the exam, you will work along with our instructors to find out the areas where you are having difficulty. This analysis will help the instructors to spend extra time with you to strengthen your weaker areas. Once you are confident that you have gained the necessary knowledge, you can appear for the exam.
As a convention, we prefer a minimum gap of 15 days between the two exams.

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Frequently Asked Questions

1. How do you become a Data Engineer?

To become a Data Engineer, you must possess a strong foundation in Math, Statistics, and Computer Science. Enrolling in a specialised Data Engineering Course, such as the one offered by 3RI Technologies, may help you gain the knowledge and skills you need. The course curriculum at 3RI Technologies includes instruction in fundamental topics like programming, Data Structures, SQL, Data Warehousing, Cloud Platforms, and Big Data Technologies.

By working on the practical projects offered in the course, which will give you actual practical data engineering experience, you can apply your skills to real-world circumstances. Additionally, 3RI Technologies offers chances for internships and personal projects, greatly enhancing your prospects. The practical training will improve your skills and make you more desirable to employers.

By completing an in-depth Data Engineering Training program, gaining real-world experience, and consistently improving your skills, you may launch a successful career as a Data Engineer. The guidance and support provided by 3RI Technologies will play a vital role in determining your route to becoming a competent data engineer.

2. What topics will be covered in this training?

The Data Engineering Training at 3RI Technologies covers a comprehensive set of topics to provide students with a strong foundation in data engineering. Some of the key topics covered in the training include:

Python: Students will learn the computer language Python, which is frequently used in data engineering for automating, analysing, and manipulating data.

Data Collection: The strategies for collecting data from different sources, such as databases, APIs, web scraping, and file systems, will be taught to the students.

Data Modelling: To ensure efficient and effective data organisation, students will comprehend the fundamentals of data modelling and database design.

Data Storage: Various forms of data storage systems, including Relational databases (SQL) and NoSQL databases like MongoDB, are covered in the course. For maximum performance and scalability, databases will be designed and managed by the students.

Data processing: Using tools like Apache Hadoop and Apache Spark, students will build proficiency in data processing techniques. They will discover effective methods for handling and analysing massive amounts of data.

Data Visualization: Using data visualisation libraries and tools, students will learn ways to present data in understandable and visually appealing ways.

Cloud-based Data Platforms: Platforms for storing, processing, and analysing data on the cloud are covered in the course, along with an introduction to cloud platforms like AWS (Amazon Web Services).

ETL: The basics of ETL (Extract, Transform, Load) procedures, such as data extraction, data transformation, and data loading, will be taught to the students. To create reliable data pipelines, they will work with programmes and frameworks like Apache Kafka.

Data Warehousing: The principles of data warehousing, such as creating and refining data storage systems for effective analytics and reporting, will be learned by the students.

Mongo DB: Students will get first-hand experience using the well-known NoSQL database MongoDB and learn methods to work with unstructured data.

By covering these topics, the Data Engineering Course at 3RI Technologies equips students with the knowledge and skills necessary to excel in the field of Data Engineering and prepares them for real-world Data Engineering challenges.

3. What are Data Engineer skills?

Data engineers require a diverse set of skills to excel in their roles. The Data Engineering Course at 3RI Technologies focuses on developing the following skills:

a) Data Manipulation: Proficiency in manipulating and transforming data using tools like SQL and programming languages like Python or Scala is essential for data engineers. Students will learn various data manipulation techniques to clean, filter, and aggregate data effectively.
b) Data Modeling: Understanding data structures and designing efficient data models is crucial for data engineers. The course covers concepts like relational data modeling, dimensional modeling, and schema design, enabling students to create robust and scalable data models.
c) Data Integration and ETL: Data engineers need to extract data from various sources, transform it into a suitable format, and load it into a target system. The training program equips students with the skills to design and implement ETL processes using tools like Apache Kafka, Apache Spark, and cloud-based ETL services.
d) Distributed Computing: As data volumes continue to grow, distributed computing frameworks like Apache Hadoop and Apache Spark have become indispensable. Students will learn how to leverage these frameworks to process large-scale datasets efficiently and perform complex analytics tasks.
e) Cloud Data Platforms: With the increasing popularity of cloud computing, data engineers must be proficient in working with cloud-based data platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. The course provides hands-on experience in deploying and managing data pipelines on cloud platforms.

4. What is a Data Engineer and what do they do?

A Data Engineer is a person who plans, creates, and maintains the infrastructure and systems needed for data storage, processing, and analysis. They collaborate closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and reliability.

Data Engineers work collaboratively with Data Scientists, Analysts, and other stakeholders to understand the data demands and create scalable and trustworthy data pipelines. They have experience using various databases, data warehouses, and large data processing frameworks. Python, Java, or SQL are among the programming languages they are proficient in.

These are the major responsibilities of data engineers:

Data integration: They gather data from different sources, transform it, clean it up, and ensure the data’s accuracy and integrity.

Data Warehousing: They develop and manage data warehouse systems to enable efficient data storage and retrieval.

ETL Processes: Extract, Transform, Load (ETL) processes are developed to move data from source systems to the data warehouse or data lake.

Data Modelling: To organise and arrange data for effective storage and analysis, they develop data models and schemas.

Performance Optimisation: They make data systems more scalable, efficient at processing data, and able to execute queries more quickly.

Data Governance: They put data governance procedures into place and make sure that rules governing data security and privacy are followed.

In general, Data Engineers are essential to helping businesses properly use their data assets and make decisions and get insights based on that data.

5. Why Data engineering training from 3RI Technologies?

The field of data engineering offers excellent job prospects for those who are interested about working with data. Whether you are a fresher looking to specialize in data engineering or an experienced professional seeking to transition into the field, the Data Engineering Courses in India at 3RI Technologies is the best choice.

With the complete Data Engineering Course at 3RI Technologies, you may get the skills, knowledge, and practical experience you need to be successful in this exciting industry.

By choosing 3RI Technologies, you have access to a cutting-edge curriculum, skilled instructors, useful projects, and industry-recognized certifications. Through the training program, you acquire the skills and information required to succeed as a Data Engineer or Big Data Engineer, which opens up a variety of job opportunities across industries.

Whether you are starting your career or trying to improve your abilities, the Best Data Engineering Courses from 3RI Technologies is the best way to get started in the field of data engineering.Unlock your potential and join the ranks of skilled data engineers shaping the future of data-driven enterprises

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data engineer course with placement Testimonials

What our students talks about us. If you were student of 3RI and wants to share your thought about us, kindly mail or call us.

Taking the Data Engineering Course at 3RI Technologies in Pune was a game-changer for my career. The comprehensive curriculum and hands-on projects provided me with the skills and knowledge needed to excel in the field. The experienced instructors and supportive learning environment made the entire experience worthwhile.

I highly recommend the Data Engineering Course at 3RI Technologies in Pune. The course content is up-to-date, covering a wide range of topics relevant to the industry. The practical approach, with real-world examples and industry case studies, helped me gain practical insights and apply my learning immediately. The career support provided by 3RI Technologies also played a crucial role in landing a job as a data engineer.

Enrolling in the Data Engineering Course at 3RI Technologies was one of the best decisions I made. The course exceeded my expectations with its well-structured modules, expert instructors, and state-of-the-art infrastructure. The hands-on training on popular tools and technologies used in data engineering, such as Hadoop and Spark, gave me the confidence to tackle real-world challenges. Thanks to 3RI Technologies, I am now equipped with the skills to thrive in the data engineering field.

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We would like to Thanks for your appreciation for 3RI.
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Data Engineering Information

Data Science Training Offered in Other Locations

Data Engineering Certification Course with Placement