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Cloud Computing
Data Extraction, Data Processing and Knowledge Extraction
In-Memory Computation
NoSQL Database (DB)
Data Architectures and Modeling
Introduction to Big Data
Classification and Clustering of Big Data
Real-time Data Processing
Data Governance
Business Intelligence (BI) and Data Visualization Tools
Storing, processing and managing data of massive scale requires a scalable, secure and fault tolerant environment that provides the capability to build powerful data-intensive applications. The global Big Data as a Service (BDaas) market is estimated to reach $51.9 billion by 2025, according to a new study by Grand View Research, Inc. The global market has been witnessing a substantial growth owing to the increasing requirement of structured data for analysis and long-term data retention. Big Data on Cloud is designed to provide a foundation in general and advanced concepts related to data extraction, in-memory computation, processing data in motion, designing data models, building data lakes, automating data pipelines, visualising data and deriving insights. This course is designed as per the latest industry trends and equips students with the knowledge and skills that enable them to develop proficiency in data engineering and understand the complementary value of Big Data and Cloud Computing technologies. Hands-On Amazon Web Services (AWS) access through TCS iON platform will be provided for hands-on environment. The above mentioned hands-on configuration will be leveraged by the students to complete the industry assignment as well as to complete the Part B section of the summative assessment.
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