Cloud Data Engineering
Course Feature
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Course Name Cloud Data Engineering
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Duration 6 months
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Course Type Part-time Hybrid
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Classes Days Mon - Fri
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Locations Kolkata
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Min Qualification BTech/ BCA/ MCA/ BSc/ MSc
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Fees INR 0.99 lakhs
PROGRAM BROCHURE
Class Description
Cloud Data Engineering Program Highlights:
The most comprehensive program for the most in demand skills of Data Engineering
Hands on training in SQL, Databricks Spark, Power BI, AWS, Azure and Google Cloud
Experienced faculty pool of industry practitioners & seasoned academicians
Career support includes mock interviews, CV building and job assistance
Data Engineering Program Objective:
Train learners in cutting-edge tools for Data Analysis, Data Stream Processing, Data Pipelines and Workflow Management
Guide learners in practical applications of Data Governance & Data Operations on Cloud Platforms
Equip learners with technical skills, problem solving abilities and collaborative work practices
Prepare learners for key roles such as Data Engineer, Big Data Architect and Cloud Data Engineer
Learning Outcomes
On successful completion of the program learners will have:
Re-engineered Enterprise Data Platforms with both traditional and modern Data Architecture
Designed and implemented scalable Dat Pipelines and ETL processes
Applied Big Data Technologies to process and analyze large datasets
Created data lakes and data warehouses using Cloud platforms to manage business cases
Data Engineering – The fastest growing tech career in the world
Data engineering is the process of transforming raw data into valuable information.
It’s a critical process for businesses that want to make data-driven decisions and is assuming importance with the generation of massive volumes of data in our daily lives.
Data engineers are professionals skilled in the collection, storing and parsing of data and utilizing machine learning to analyze the data.
Their job requires a critical understanding of both software development tools as well as business skills required to convert that data into valuable information.
It’s a critical process for businesses that want to make data-driven decisions and is assuming importance with the generation of massive volumes of data in our daily lives.
Data engineers are professionals skilled in the collection, storing and parsing of data and utilizing machine learning to analyze the data.
Their job requires a critical understanding of both software development tools as well as business skills required to convert that data into valuable information.
- Data Engineer: A data engineer lays down the foundation for data management systems to ingest, integrate and maintain all the data sources. The person has knowledge of databases and understands the needs of the business and its long-time data scalability needs. Tools: SQL, XML, Hive, Pig, Spark, etc.
Database Administrator: A database administrator has extensive knowledge of traditional as well as new-age NoSQL and Cloud databases, and ensures that the data generating and the data ingesting systems are up and running in a live business scenario. - Enterprise Data Architect: The enterprise data architect is responsible for visualizing and designing an organization’s enterprise data management framework that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data. They have extensive knowledge of database tools, languages like Python, Java and Scala, and distributed systems like Hadoop.
- ETL Engineer: The ETL engineer is responsible for maintaining the veracity of the data in the source and target systems. They ensure that the right kind of tools, permission and system pipelines are in place for smooth transfer of the data.
The 6-month program is divided into three trimesters of two-months each covering: Working with traditional data Engineering platforms for big data, and Running enterprise business on cloud. The pedagogy comprises design of a contemporary and relevant curriculum delivery which is a blend of classroom lectures, use case discussions and hands-on labs, and assessment based on tests, assignments and projects. Trimester 1 - Working with Traditional Data Trimester 2 - Managing Data Platforms & Cloud Trimester 3 - Enterprise Business Applications Data Fluency Python Programming Spark Data Analytics Data Modeling RDBMS NoSQL Business Intelligence Data Warehousing Big Data Data Exploration and Analysis Cloud Data Management Capstone Project Structured Query Language (SQL) PedagogyBlend of lectures, case discussions, labs, assessment via tests, assignments, projects.
The Capstone Project at Praxis is designed to bridge the gap between theory and practice. Learners get to work on relevant industry problems using the latest cutting edge tools and technologies. Real world problems: Be part of projects that address current needs in the high tech industry. Dive into real problems faced by industry. Cutting edge tools: Get hands on experience with the latest technologies shaping the future of Data Science and Data Engineering. Industry ready skills: Develop in demand data skills applying the latest engineering technologies employers are looking for. Expert Mentorship: Learn from experienced faculty as well as be mentored by alumni in key positions who will guide you every step of the way.
Total Program Fee: Rs. 99,000 (Incl. 18% GST)
B.Tech, BCA/MCA or B. Sc/M.Sc. Computer Science/IT Minimum 55% in 10th, 12th and Graduation Who is this program meant for?This course is aimed at facilitating a smooth transition of the participants into the domain of data engineering. It is meant for candidates satisfying any of the following criteria: Individuals with a technology background, proficient in programming. Fresh engineering or computer science graduates interested in big data. Professionals in traditional tech fields seeking to transition to newer, high-demand domains.
Step 1: Apply Online @www.praxistech.school Step 2: Evaluation of Profile and Scores Step 3: Personal Interview (online)
Diversity Scholarship: INR 7500(for women students) Merit Scholarship: INR 7500(for students with 80% or higher marks in 10th & 12th) Students can avail any one of the above scholarships. Praxis reserves the fitht to grant scholaship based on the criteria mentioned above.
Please note, when transferring the fee online towards the course fee, the following payment gateway charges would need to be borne by the student: Details Charges: Credit Cards Transactions 1.1% + Taxes as applicable Net Banking Transactions Rs. 20 + Taxes as applicable Debit Cards Transaction (above Rs. 2000) 1.0 % + Taxes as applicable International Cards 2.65% + Taxes as applicable Amex 1.40% + Taxes as applicable Wallets (Money on Mobile/MobiKwik/Oxigen/PayUMoney/Citrus Money) 1.95% + Taxes as applicable Cash Collection Centre 2.00% + Taxes as applicable UPI Rs. 18 Click here to pay the fees