PG Program in Big Data Engineering
- Offered byupGrad
- Private Institute
- Estd. 2015
PG Program in Big Data Engineering at upGrad Overview
Duration | 10 months |
Total fee | ₹2.35 Lakh |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Course Level | PG Degree |
PG Program in Big Data Engineering at upGrad Highlights
- Post Graduate Certification from BITS Pilani
- Hands - on learning opportunity
- Learn from the best Academic and Industry Faculty
- Career Support
- Timely doubt resolution by Industry experts and peers
PG Program in Big Data Engineering at upGrad Course details
- IT & Technology Professionals
- Project Leads & Project Managers in IT/Tech Companies
- Current Big Data Professionals
- Strong peer to peer interaction
- Dedicated support to enable learning
- Get personalized feedback
- Designed for Working Professionals
- 400+ Hours of Learning
- 7+ Case Studies and Projects
- Practical Hands-on Workshops
- Timely Doubt Resolution
- Dedicated Student Success Mentor
- BITS Pilani Alumni Status
- No Cost EMI Option
- Job Placement Assistance with Top Firms
- The program aims to prepare aspirants for engineering/ development roles in the Big Data Industry. Learners who pursue this program will acquire the requisite skills in Computer Science and Data Engineering needed by the industry for the development of Big Data Applications. Additionally, learners will also acquire skills of technical Problem Solving
PG Program in Big Data Engineering at upGrad Curriculum
Foundations of Big Data Systems
Introduction to Big Data and its Applications
Data structures like Hashtables, Hashmaps, Bloom Filters, k-d-trees
Distributed Algorithm Design
Algorithm Design using MapReduce
Course Project
Big Data Platforms
Introduction to Hadoop: Distributed Computing Environment
AWS familiarization
Data and Distributed Storage (HDFS)
Distributed Processing of data using MapReduce & Pig
In-memory distributed processing using Apache Spark
Data on Cloud (Dynamo DB)
Course Project
Processing Big Data ? ETL & Batch Processing
ETL and Data Warehousing
Ingesting data into Big Data Platforms using Sqoop & Flume
Analyzing data using Hive
Storing and retrieving data using HBase
Workflow management for Hadoop using OOZIE
Course Project
Processing of Real Time Data & Streaming Data
Data Streams: Introduction and Ingestion
Processing data streams using Apache kafka
Building real-time data pipelines using Apache Storm
Streaming on Apache Spark
Course Project
Big Data Analytics
Data Preprocessing forML
Regression
Classification
Clustering
Course Project
Capstone Project
PG Program in Big Data Engineering at upGrad Entry Requirements
- Employed Professionals with minimum 6 months overall work experience
- Having a minimum 3 years UG Degree with adequate preperation in mathematics and computer programming e.g.E/BTech/BSc/BCA*)
- Having minimum 55% marks or 5.5/10 CGPA (on a scale of 10) or 2.2/4 CGPA (on a scale of 4) in UG degree examinations
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