Purdue University - Post Graduate Program In Data Engineering

Offered bySimplilearn
Private Institute
Estd. 2010

Post Graduate Program In Data Engineering
at
Simplilearn
Overview

A comprehensive training in the design, construction, and management of data systems and pipelines, focusing on both theoretical foundations and practical applications

Duration	8 months
Start from	Start Now
Total fee	₹1.70 Lakh
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Post Graduate Program In Data Engineering
at
Simplilearn
Highlights

Earn a certificate after completion of course
Fee can be paid in installments

Post Graduate Program In Data Engineering
at
Simplilearn
Course details

Skills you will learn

Data visualization Hadoop Apache

Who should do this course?

Individuals with some experience in data-related roles who want to deepen their expertise in data engineering and transition into more advanced positions.
New graduates from fields such as Computer Science, Engineering, Mathematics, Statistics, or related disciplines who are interested in starting a career in data engineering.
Individuals working in business intelligence roles who seek to understand the underlying data engineering processes that support BI and analytics functions.
Founders or employees of startups focusing on data-driven products or services who need a deep understanding of data engineering to support their ventures.

What are the course deliverables?

Real Time Data Processing
Data Pipelining
Big Data Analytics
Data Visualization
Provisioning data storage services
Apache Hadoop
Ingesting Streaming and Batch Data
Transforming Data
Implementing Security Requirements
Data Protection
Encryption Techniques
Data Governance and Compliance Controls

More about this course

The Post Graduate Program in Data Engineering is designed to equip students with the essential skills and knowledge required to excel in the dynamic field of data engineering.

This program provides comprehensive training in the design, construction, and management of data systems and pipelines, focusing on both theoretical foundations and practical applications.

This course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures.

Post Graduate Program In Data Engineering
at
Simplilearn
Curriculum

Induction Session for Purdue Data Engineering Program

Get started with the Data Engineering certification course in partnership with Purdue University and explore the basics of the program. Kick-start your journey with preparatory courses on Data Engineering with Scala and Hadoop, and Big Data for Data Engineering.

PG DE Big Data Hadoop and Spark Developer Training
- Learn the essentials of Python programming
- Understand the concepts of SQL and NoSQL
- Learn how to navigate the Hadoop ecosystem and understand how to
- optimize its use
- Ingest data using Sqoop, Flume, and Kafka
- Implement partitioning, bucketing, and indexing in Hive
- Work with RDD in Apache Spark
- Process real-time streaming data
- Perform DataFrame operations in Spark using SQL queries
- Implement User-Defined Functions (UDF) and User-Defined Attribute
- Functions (UDAF) in Spark

PG DE - AWS Tech Essentials
- 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

PG DE - Big Data on AWS
- Understand how to use Amazon EMR for processing the data using
- Hadoop ecosystem tools
- Understand how to use Amazon Kinesis for Big Data processing in
- real-time and analyze and transform Big Data using Kinesis Streams
- Visualize data and perform queries using Amazon QuickSight.

PG DE - Azure Fundamentals
- 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

PG DE - Azure Data Engineer
- 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

PG DE - Data Engineer Capstone
By the end of Data Engineering certification course, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.

Electives:
- PG DE - Python for Data Science
- - Create your first Python program using variables, strings, functions, loops, and conditions.
  - Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.
  - Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.
- PG DE - PySpark
- - Understand how to leverage the functionality of Python
  - Master Apache Spark architecture and how to set up a Python environment for Spark
  - Learn about various techniques for collecting data, understand RDDs and how to contrast them with DataFrames,
  - Obtain knowledge of various tools that fall under the Spark ecosystem, such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming
  - Create and explore various APIs to work with Spark DataFrames and learn how to aggregate, transform, filter, and sort data
- PG DE - Apache Kafka
- - Describe the importance of big data
  - Describe the fundamental concepts of Kafka
  - Describe the architecture of Kafka
  - Explain how to install and configure Kafka
  - Explain how to use Kafka for real-time messaging
- PG DE - MongoDB Developer and Administrator
- - Develop expertise in writing Java and NodeJS applications using MongoDB
  - Perform installation, configuration, and maintenance of the MongoDB environment
  - Get hands-on experience creating and managing different types of indexes in MongoDB for query execution
  - Proficiently store unstructured data in MongoDB
  - Develop skill sets for processing vast amounts of data using MongoDB tools
  - Gain proficiency in MongoDB configuration, backup methods, and monitoring.
- Google Cloud Platform Fundamentals
- This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.
- Java Certification Training
- - Gain a comprehensive understanding of Java
  - Learn how to use operators in Java
  - Learn about loops in Java
  - The course covers methods in Java.
  - Understand how to work with constructors in Java
  - Gain an understanding of the JUnit framework
- Industry Master Class – Data Engineering
- Industry Master Class – Data Engineering
- Master class - Data Engineering - Purdue university
- Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.
- Generative AI Masterclass
- - Attend live Gen AI masterclasses & learn how you can leverage it to streamline workflows and enhance efficiency
  - These cutting-edge masterclasses are conducted by industry experts, where you delve deep into AI-powered creativity, understanding various concepts & topics related to generative AI.

Post Graduate Program In Data Engineering
at
Simplilearn
Faculty details

Aly El Gamal

Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.