Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Course Overview
The Professional Certificate Program in Data Engineering online course has been created in a way that delivers an understanding of data engineering, implementing security requirements and data protection techniques. The course covers from basic to advanced knowledge of processing large volumes of data to uproot the hidden useful information.
The Professional Certificate Program in Data Engineering training offers candidates to learn about real-time data processing, data pipeline, provisioning data storage services, apache Hadoop, data visualization, data governance and compliance control. The Data Engineering course explores the Amazon web services management console, installing instances, creating volumes, working on Relational Database Services and Creating Elastic Block Storage.
The Professional Certificate Program in Data Engineering syllabus encourages students to learn about various tools which are handy in Data Engineering, including Scala, DataBricks, Apache Spark, Amazon sagemaker, Azure data lake storage, SQL, MongoDB. The Post Graduate Program in Data Engineering will train you using the Amazon web services cloud platform.
The Highlights
- Live online classes by industry experts
- Capstone Projects with Industry datasets
- Master Classes by experienced faculties
- JobAssist program by Simplilearn
- Lifetime access to the e-learning content
Programme Offerings
- online bootcamp
- live sessions
- 7 months training
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Purdue University, West LafayetteIBM |
Professional Certificate Program in Data Engineering
Course | Amount |
Post Graduate Program in Data Engineering | Rs. 1,69,999 |
EMI ₹ 7,612/month
- The Professional Certificate Program in Data Engineering fee is Rs.1,69,999
- with extra GST charges. Candidates have also an option to pay the fee in installments with various EMI partners collaborated by the course provider.
Eligibility Criteria
For Admission in Professional Certificate Program in Data Engineering certification course, the candidate must have a bachelor’s degree and a basic understanding of data-oriented programming, 2 years of work experience will be preferred.
What you will learn
After completing the Professional Certificate Program in Data Engineering online certification course, candidates will be able to :
- Process data on the AWS and Azure cloud infrastructure
- Design the architecture of data platform
- Extract data from internal CRM system
- Store all data gathered for analytical purpose
- Process large scale data
Who it is for
Graduate students with a basic understanding of object-oriented programming who want to become Data analysts, Data scientists, Data administrators can join the Professional Certificate Program in Data Engineering online certification training, 2 years of work experience will be preferred.
Admission Details
Step 1 For a detailed overview of the Post Graduate Program in Data Engineering Online course, visit the official website https://www.simplilearn.com/pgp-data-engineering-certification-training-course
Step 2 Fill in the required details and submit the application.
Step 3 Candidates will be shortlisted by the admission panel
Step 4 Selected candidates will be notified through email
Step 5 Candidates can start the course within 1-2 weeks by paying the fee
Application Details
The Application filling procedure of the Post Graduate Program in Data Engineering training is totally online. Candidates will have to fill the form with the following details :
- Personal details (name, email, DOB, etc)
- Educational details (latest degree, name of college, year of passing, percentage, etc)
- Professional details (current designation, company name, years of professional experience, etc)
The Syllabus
- Procedural and OOP understanding
- Python and IDE installation
- Jupyter Notebook usage mastery
- Implementing identifiers, indentations, comments
- Python data types, operators, string identification
- Types of Python loops comprehension
- Variable scope in functions exploration
- OOP explanation and characteristics
- Databases and their interconnections.
- Popular query tools and handle SQL commands.
- Transactions, table creation, and utilizing views.
- Execute stored procedures for complex operations.
- SQL functions, including those related to strings, mathematics, date and time, and pattern matching.
- Functions related to user access control to ensure the security of databases.
- Understanding MongoDB
- Document structure and schema design
- Data modeling for scalability
- CRUD operations and querying
- Indexing and performance optimization
- Security and access control
- Data management and processing
- Integration and scalability
- Developing data pipelines
- Monitoring and performance optimization
- Hadoop ecosystem and optimization
- Ingest data using Sqoop, Flume, and Kafka
- Partitioning, bucketing, and indexing in Hive
- RDD in Apache Spark
- Process real-time streaming data
- DataFrame operations in Spark using SQL queries
- User-Defined Functions (UDF) and User-Defined Attribute
- Functions (UDAF) in Spark
- Understand the fundamental concepts of the AWS platform and cloud
- computing
- Identify AWS concepts, terminologies, benefits, and deployment
- options to meet business requirements
- Identify deployment and network options in AWS
- Data engineering fundamentals
- Data ingestion and transformation
- Orchestration of data pipelines
- Data store management
- Data cataloging systems
- Data lifecycle management
- Design data models and schema evolution
- Automate data processing by using AWS services
- Maintain and monitor data pipelines
- Data Security and Governance
- authentication mechanisms
- authorization mechanisms
- data encryption and masking
- Prepare logs for audit
- data privacy and governance
- Describe Azure storage and create Azure web apps
- Deploy databases in Azure
- Understand Azure AD, cloud computing, Azure, and Azure
- subscriptions
- Create and configure VMs in Microsoft Azure
- Implement data storage solutions using Azure SQL Database, Azure
- Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,
- Azure Stream Analytics, Azure Databricks services
- Develop batch processing and streaming solutions
- Monitor Data Storage and Data Processing
- Optimize Azure Data Solutions
- Generative AI Masterclass
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