Best Data Engineering Course Training in Niagara Falls
- 40 Hours Interactive Online Sessions
- 80 Hours Assignments & Real-Time Projects
- Complementary Hadoop and Spark
- Complementary ML on Cloud
- Complementary Python Programming
513 Reviews
3117 Learners
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
Total Duration
3 Months
Prerequisites
- Computer Skills
- Basic Mathematical Concepts
- Analytical Mindset
Data Engineering Training Overview in Niagara Falls
With our Data Engineering Training, you get to explore the various tools used by Data Engineers and understand the difference between a Data Scientist and a Data Engineer. In this training, get introduced to tools like Python, Spark, Kafka, Jupyter. Spyder, TensorFlow, Keras, PyTorch, etc. along with advanced SQL techniques. Learn to 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 how to build pipelines while handling huge data to optimize the process of big data. Get firsthand experience with advanced data engineering projects.
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 Niagara Falls
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
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Who Should Sign Up?
- Science, Math and Commerce graduates
- IT professionals who want to specialise in digital tech
- Professionals who want to move into Data Analytics
- Professionals who want to add Data Analytics to current job skills
- Academicians and researchers working in Data Analytics
Data Engineering Course Syllabus in Niagara Falls
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
- 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
Trends in Data Engineering Certification in Niagara Falls
A Data Engineer will analyze the given data and discover trends in the data sets and develop algorithms to sort the data to make it useful to the organization. To understand the organization's large data, Data Engineers need technical skills with good communication skills to work across various departments. 2021 saw a tremendous increase in usage of AI, MI, and Data Science in the industry. Data Engineering trends can be classified into Data Infrastructure, Data Architecture, and Data Management categories. While metadata management tools like data lineage, data quality, and data discovery will merge into the mainstream data management platform. To manage this platform Data Mesh Principles and change in data engineering structure should be made and serverless architecture is one among them. Cloud data warehouses will be the future of data management systems. A Data Engineer will be able to manage the main role in this process to develop, expand and deploy new technologies. Join our Data Engineering training program to grab the best opportunity in the growing job market.
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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100% Practical Oriented Course
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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!
+60 19-383 1378
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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 Training in Niagara Falls
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 Niagara Falls
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 in Niagara Falls
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 Niagara Falls
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 Niagara Falls
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 in Niagara Falls
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 in Niagara Falls
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.
