HDFC Data Digits: Post Graduate Program in Data Engineering offered by NIIT
5.0 /5HDFC Data Digits: Post Graduate Program in Data Engineering at NIIT Overview
Duration | 12 weeks |
Total fee | ₹2.00 Lakh |
Mode of learning | Online |
Credential | Certificate |
HDFC Data Digits: Post Graduate Program in Data Engineering at NIIT Highlights
- Earn a certificate of completion from NIIT
- Guest Lectures by HDFC Senior Executives
- Get Provisional offer letter Immediately after selection
- Go through hands-on, experiential learning with targeted intervention
HDFC Data Digits: Post Graduate Program in Data Engineering at NIIT Course details
- For Engineering Graduates from any stream
- Write and manipulate DDL, DML, DCL Queries and SQL Commands
- Use Programming Language of SQL (TSQL) and write complex SQL Commands
- Understand Engineering Discipline and work with Azure Cloud
- Work with Hadoop, write Python Scripts for Big Data Analytics, Use Apache Flink for distributed processing engine and scalable data analytics
- Work with Data Visualizing and Analytics tools like Power BI
- The program is an initiative of HDFC and NIIT to make you future-ready Data Professionals for HDFC Bank and equip them with the knowledge and confidence of being immediately productive at work and be ready to handle critical data projects and assignments across verticals
- This is an immersive program, where the learners will solve various real like complex tasks, as they would face in the actual Data Engineering Professional role at HDFC Bank
- Learners will become a confident job-ready professional who can contribute to varieties of activities within the data science practice & will gain the experience and confidence to succeed in the job role
HDFC Data Digits: Post Graduate Program in Data Engineering at NIIT Curriculum
Foundation: Engineering Discipline and Core Language: OO Programming with C#
Working with Git lab
Basics of C#, data types, OO thinking classes, inheritance models etc.
RegEx, exception, and error handling, reading, and writing data from files
Unit Testing using XUnit /NUnit, Overview of WebAPI / WebSockets / Writing C# Scripts / Functions
Introduction to SQL Basics
Module 2: Introduction to Kusto Query Language(KQL)
Understand KQL query language basics, Use operators in KQL to filter and transform logs, The search command, The where command, The take Command, The count Command etc.
Module 3: EQE: Landscape: Agile Discipline & Overview of DevOps
Building Projects Agile SW Development, SDLC, STLC Overview of, Agile
Understanding Infrastructure Management Services, what is DevOps and the Need, Use in IT Infrastructure Management
The DevOps Lifecycle and Workflow, Roles, Responsibilities, and Skills of a DevOps Engineer, Writing Project Planning, Building Boards – Kanban / SCRUM & Roadmaps, Azure DevOps
Understanding Application Lifecycle Management.
Module 4: Python for Data Engineering
Working with Git and Gitlab, Version Control & Python Language Basics
Core Python Program Structure, Modules and Exception Handling, Classes in Python, Data Structures and Data Manipulations.
Python Generator / Iterators, pip, virtualenv, pythonenv, pep8, Python Hyper HTTP-2 Framework
Writing Python Test cases and Unit Testing with PyTest, Jinja Templates, Python Web Flask Framework, Python Query and AJAX with Flask.
Module 5: Overview of DWH and Big Data Fundamentals and Hadoop Fundamentals
What is Data Warehousing?
Understand Data Warehousing techniques to solve real problems, DWH System Design and structure
understanding ETL and Related Tools, Introduction to Big Data; Examples of Big Data
Hadoop Installation; Hadoop Architecture, General ETL tools in market
Introduction to BI tools and Analytics Lifecycle, HDFS
Module 6: Introduction to Map Reduce & Apache Flink
What is MapReduce; Map Phase; Shuffle and Sort Phase; Name Node, Python for BigData Analysis with MapReduce, Basics of YARN, Graph Processing
Introduction to Apache Flink, Apache Flink Architecture, Processing Data with Flink using Datasets as Ratings Management, Flink DataStream API, Streaming Analytics – Watermark, Window, Event-time Processing, Fault Tolerance – Checkpoints, save points, exactly once vs Atleast once.
Module7: Moving Data into Hadoop & Cloud Azure Fundamentals
Data in Motion and Data from RDBMS or warehouse, Flume, Setting Up an Agent
Executing Command, Setting Multi-Agent Flow,Configuring A Multi Agent Flow,Spark SQL, Spark Streaming; Apache Kafka
Introduction to Apache Kafka – Fundamentals & Architecture
Cloud Fundamentals (SaaS, PaaS, IaaS), Best Practices with Git and Engineering Discipline on Cloud Workflow, Private / Public / Hybrid Cloud
Overview of Azure DevOps, CI Pipeline, Deployment on Azure, Azure SQL Managed, SQL instance in the cloud
Module 8: PySpark For Data Science
Apache Spark Overview, Introduction to working with PyTorch, Numpy, pandas, dask & pytyping
Introduction to PySpark, Spark SQL & Data Frames, Spark SQL Overview Batch Streaming, Spark Streaming
Introduction to MLib, Working with GraphX, PySparkSQL/DataFrame Modeling, Data Manipulation, Pipelines, Tuning & Selection, BigData with PySpark, Data Connect
Handling Immutable Dataframes, Spark Data Frames & Data sets, Resilient Distributed Datasets (RDD), Spark Steaming Featured
Module 9: Business Intelligence and Visualization with Power BI
Overview of Power BI Architecture, Overview of Power BI services, Understand Power BI Desktop, and its components, connect to data sources
Transform data to include in a report, build relationships between different tables.
Introduction to interactive visuals & its usage, Matrices, and tables
Modelling with Power BI, MQuery, Calculated columns and measures, combine data from multiple source
Understanding of Power BI architecture, Introduction to content packs, security and groups, creating workspace & managements
Provide end to end solutioning and Estimation guidelines, ADF + SQL Cloud Migration Overview
HDFC Data Digits: Post Graduate Program in Data Engineering at NIIT Faculty details
HDFC Data Digits: Post Graduate Program in Data Engineering at NIIT Entry Requirements
- Education: Graduates
- Pre-requisites: Candidates should possess good command over the English language, and also should have good coding skills
- Not mentioned
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HDFC Data Digits: Post Graduate Program in Data Engineering at NIIT Contact Information
Plot No.85, Sector 32, Institutional Area
Gurgaon ( Haryana)