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Data Engineering Course in Bangalore

Master the fundamentals of Data Engineering and get real-time experience working with multiple Databases, Python, and SQL.
  • 60 Hours Interactive Online Sessions
  • 80 Hours Assignments & Real-Time Projects
  • Complementary Hadoop and Spark
  • Complementary ML on Cloud
  • Complementary Python Programming
Data Engineering certification course reviews - 360digitmg
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Academic Partners & International Accreditations
  • Data Engineering Course with Microsoft
  • Data Engineering certification with nasscomm
  • Data Engineering certification innodatatics
  • Data Engineering certification with SUNY
  • Data Engineering certification with NEF

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

Data Engineering Training Overview

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 Bangalore

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

data engineering course

60 hours

Live Sessions

data engineering course

80 hours

Assignments

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 Bangalore

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.

  • Data Science vs Data Engineering
  • Data Engineering Infrastructure and Data Pipeline
  • Data Architecture
  • Lambda
  • Kappa
  • Streaming Big Data Architectures Monitoring pipelines
  • With Databases and various File formats (Data Lakes)
  • SQL
    • MySQL
    • PostgreSQL
  • NoSQL
    • MongoDB
    • HBase
  • Amazon Relational Database Service
  • Microsoft Azure SQL Database
  • Google Cloud SQL
  • Concepts of Extra-Load, Extract-Load-Transform, or Extract-Transform-Load paradigms
  • 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
  • Linux OS
  • Apache Hadoop
  • HDFS
  • Hadoop Cluster on GCP - Dataproc
  • Spark Components
  • Spark Executions – Spark Session
  • RDD
  • Spark DataFrames
  • Spark Core
  • Spark SQL
  • Spark MLlibs
  • Spark Streaming
  • Big Data and Apache Kafka
  • Producers and Consumers
  • Clusters Architectures
  • Kafka Streams
  • Kafka pipeline transformations
  • Building pipelines in Apache Airflow
  • Deploy and Monitor Data Pipelines
  • Production Data Pipeline
  • Data Lake Cloud offerings
  • Cloud Data Warehouse Services
  • 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
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
Why Choose 360DigiTMG for Data Engineering Training Institute in Bangalore?
Data Engineering certification in bangalore - 360digitmg
Data Engineering certification in bangalore - 360digitmg

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Data Engineering Course Panel of Coaches in Bangalore

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
 
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
 
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
 
Data Engineering certification - 360digitmg
data science using python & r certification - 360digitmg

Data Engineering Certificate

Win recognition for your skills with the Data Engineering Certification. Stand out in this emerging yet competitive field with our certification.

Alumni Speak

Pavan Satya

"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

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Chetan Reddy

"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

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Santosh Kumar

"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

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"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

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Wan Muhamad Taufik

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

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"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 Training in Bangalore

Prerequisites for our Data Engineering course include a background in Science, Maths, or Computer Graduation, making it suitable for IT professionals seeking specialization in Digital Technology. The program is also open to SQL and related developers, students with an interest in Data and Databases, professionals in Data Analytics, academicians, researchers in Data Science, and enthusiasts of Cloud and Big Data technologies.

The Data Engineering course offers a comprehensive curriculum covering key topics like Data Sources, Cloud Sources, Python Programming, Big Data Tools, and more. Specialized modules from SUNY University include Data Engineering on Microsoft Azure, Google Data Engineer, and a certificate from SUNY University, enhancing your expertise in the field.

The Data Engineering course incorporates essential programming languages and tools, including Python for programming tasks. Big Data tools such as Apache Spark and Apache Kafka are covered, along with cloud-specific tools for AWS, Azure, and GCP. This diverse toolkit ensures hands-on experience and proficiency in industry-relevant technologies.

Yes, the Data Engineering course integrates hands-on learning through projects and assignments. Participants apply theoretical knowledge to real-world scenarios, gaining practical skills in areas like Python programming, Big Data tools, and cloud platforms (AWS, Azure, GCP). This experiential learning approach enhances understanding and prepares students for challenges in the field.

The Data Engineering course content is structured to cater to varying skill levels. While it accommodates beginners with introductory topics, it also delves into advanced concepts like Apache Spark and cloud-specific modules. The progressive difficulty ensures that participants, regardless of their initial proficiency, can grasp foundational principles and progressively tackle more complex subjects.

Yes, upon successful completion of the Data Engineering course, you will be awarded a certificate. This certification acknowledges your expertise in the field and can be a valuable asset for career advancement. The certification is a testament to your commitment to mastering data engineering concepts and tools.

Absolutely! The Data Engineering course offers thorough career guidance and assistance with placement. This encompasses services like crafting effective resumes, preparing for interviews, and facilitating connections with potential employers. The goal is to elevate your career prospects within the data engineering domain, ensuring that you are well-prepared to seize opportunities within the industry.

Data Engineers in Bangalore enjoy excellent job prospects, thanks to the city's booming tech industry. Opportunities span roles such as Data Engineer, Big Data Engineer, and Cloud Data Engineer across various sectors like IT, finance, healthcare, and e-commerce. The growing significance of data infrastructure ensures a continual demand for skilled professionals in this dynamic field.

The average salary for Data Engineers in Bangalore is competitive, reflecting the city's vibrant tech sector. Salaries vary based on experience, skills, and industry, with ample opportunities for career growth.

Data Engineers can pursue various career paths, including roles such as Data Scientist, Big Data Architect, Machine Learning Engineer, or specialize in Cloud Data Engineering. The versatility of skills opens doors to diverse opportunities within the data ecosystem.

Yes, our program provides dedicated support for building portfolios and preparing for job interviews. This includes guidance on showcasing your projects effectively and honing interview skills to enhance your chances of success in the competitive job market.

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

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 Bangalore for Data Engineering professionals
Salary for Data Engineers in Bangalore

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 Bangalore
Projects in the field of Data Engineering in Bangalore

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 Bangalore
Role of Open Source Tools in Data Engineering in Bangalore

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 Bangalore
Modes Of Training For Data Engineering in Bangalore

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 Bangalore
Industry Applications of Data Engineering in Bangalore

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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360DigiTMG - Data Science, Data Scientist Course Training in Bangalore

No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd,7th Sector, HSR Layout, Bangalore, Karnataka-560102.

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