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About Data Engineering -

It is process of designing and building database systems right from small to big data to store and analyze for real time processing and forecasting. This data can be further used by Data Scientist and Data Analyst for their analysis and visualization purpose to solve complex business problems.
About Our Data Engineering Certification Course -

It covers both regular sql and no sql to developing big data systems using hadoop.
Any Pre-requisites -

None. Any one from IT & non IT background can learn to become a Data Engineer!
Technologies -

Oracle, Mongo DB, Hadoop
Scope & Job Openings -

Highly Demanded
Duration -

6 to 6.5 months
Fees -

Live Online - Rs.40000, Classroom - Rs.45000 (inclusive of GST, Installments available)
Scope & Job Openings -

Highly Demanded > Quick Jobs!
Jobs Roles Targeted -

Data Engineerm, Data Architect, Database Developer etc.

Syllabus

Job Opportunity

Data Engineering Course

SQL

Oracle 18/21c Installation
Basics
- Oracle Basics
- Database models
- ER Model Overview
- Data types
- Understanding Test Database
- Basics Queries
- Arithmetic and String functions
- DML Operations - Insert, Update and Delete
- FETCH command - Top N, Top % Rows
DDL
- Tables - Create, Alter, Drop
- Indexes - Types, Create, Drop
- Constraints - Not Null, Primary Key, Unique Key, Foreign Key
- Sequence
- Synonyms
Foreign Keys
DML operations - Insert, Update & Delete
- Insert, Update, Delete & Truncate
- Common Operations
- Creating Tables using queries
- Bulk Data Inserts using Queries
Writing Queries
Filters
- DISTINCT
- BETWEEN
- IN
- LIKE
- NOT
- NULL
- AND, OR, NOT etc
- Using Complex Data Filtering Techniques
Sorting
- Ascending Order
- Descending Order
- Complex Sorting
Functions
- String Functions - lower case, uppercase, substring, instring, trim etc.
- Number Functions
- Date Manipulation
- Null Value Functions - NVL, NVL2, NULLIF, COALESCE
- Conditional Expressions - Case and Decode
Groups
- Basics
- Grouping functions - AVG, MIN, MAX, COUNT, DISTINCT COUNT etc
- Grouping Filters - HAVING
- Rollups & Cubes
Joins
- Cartesian Product
- Equi and Non-Equi Joins
- Left Outer Join
- Right Outer Join
- Full Outer Join
- Self Join
- Complex Queries - Joins & Groups Integration
SET Operators
- Union
- Union All
- Intersect
- Minus
Subquery
- Single Valued Row Sub Query
- Multi Valued Sub Query
Views
Inline Views
ROWID & ROWNUM
TOP N Analysis using Inline Views
Transactions ( T SQL)
- Commit
- Rollback
- Savepoint
DCL - Grant & Revoke
Project

PLSQL

PL SQL Basics
- Why PLSQL?
- Anonymous Blocks
- Data types, Variable, Composite Variables etc
Progamming in PLSQL
- if..elsif..else block
- Control Structures
  - for loop
  - while loop
  - loop...end loop
- PLSQL Programs
- Logic Building
  - Basic Programs
  - Pattern Programs
- Nested Blocks
Using SQL in PLSQL Block
- Select
- CRUD
- Transactions etc
Cursors & Adv. Cursors
- Implicit Cursors
- Explicit Cursors
- Cursor For Loops
- Cursor with parameters
- Reference Cursors
Exception Handling
- Understanding Exception Handling
- Using Oracle Defined Exceptions
- Using User Defined Exceptions
- Using Exception Keyword
- Raise_Application_Error
- Raise keyword
- Pragma Exceptions
- Exception Propagation
Procedures
- Creating Procedures
- Nested Procedures
- Overloading Procedures
- Exception handling and propagation
Functions
- Creating Functions
- Overloading Functions
- Nesting Functions and Procedures
Packages
- Package Basics
- Package Specification
- Package Body
- Global constants
- Writing Stored Procedures and Functions in Packages
- Procedure Overloading
- Function Overloading
- Nesting of Functions & Procedures
- Exception Handling in packages
Using Oracle Supplied Packages
Triggers & Adv. Triggers
- Create, Replace, Drop
- Trigger Types
- Database Triggers
- DML Triggers
- INSTEAD OF Trigger
- SECURITY Triggers
V Arrays
- Dynamic Array or V Array
- Oracle Pipes
- Oracle Table Function
- Bulk Operations Oveview
- etc
Case Study / Project

Python

Introduction to Python
- What is Python? Features & uses
- Python installation & IDE setup (VS Code, PyCharm, Jupyter, Anaconda)
- Running Python programs (script mode vs interactive mode)
- First program: print("Hello, World!")
Python Basics
- Variables & Data Types (int, float, str, bool)
- Input/Output functions (print(), input())
- Comments & indentation
- Type conversion & type() function
Operators
- Arithmetic operators (+, -, *, /, //, %, **)
- Comparison operators (==, !=, <, >, <=, >=)
- Logical operators (and, or, not)
- Assignment operators (+=, -=, etc.)
- Identity operators (is, is not)
- Membership operators (in, not in)
Control Flow
- if, elif, else statements
- Nested conditions
- for and while loops
- break, continue, pass
Data Structures
- Strings → indexing, slicing, methods
- Lists → create, access, update, iterate, list methods
- Tuples → immutable collections
- Sets → unique values, set operations (union, intersection)
- Dictionaries → key-value pairs, methods
Functions
- Defining & calling functions
- Function arguments (positional, keyword, default, variable-length *args, **kwargs)
- Return values
- Lambda (anonymous functions)
- Scope (local vs global variables)
Modules & Packages
- Importing built-in modules (math, random, datetime, os)
- Creating your own modules
- Installing external libraries with pip
File Handling
- Opening & closing files
- Reading & writing (read(), write(), with open)
- Working with CSV and JSON files
Exception Handling
- try, except blocks
- finally, else in exceptions
- Raising exceptions (raise)
- Custom exceptions
Object-Oriented Programming (OOP)
- Classes & objects
- Constructors (__init__)
- Instance & class variables
- Methods (instance, class, static)
- Inheritance (single, multiple, multilevel)
- Method overriding
- Encapsulation & Abstraction
- Polymorphism
- Special methods (__str__, __len__, etc.)
Advanced Python Concepts
- Iterators & Generators (iter(), next(), yield)
- Decorators (function decorators, @staticmethod, @classmethod)
- Regular Expressions (re module)

Adv. Python & Python Analytics

Working with APIs
- Sending HTTP requests with requests
- JSON handling
Database Connectivity
- Installation
- Basic CRUD Operations (create, read, insert, update, delete)
- MySQL with connectors
Python for Automation
- Automating tasks (file renaming, web scraping with BeautifulSoup)
- Sending emails with Python (smtplib)
- Working with Excel (openpyxl, pandas)
Python for Data Science
- NumPy → arrays, vectorized operations
- Pandas → DataFrames, Series, CSV/Excel handling
Python for Data Visualization
- Installing Matplotlib (pip install matplotlib)
- Basic Plots: Line chart, Bar chart, Pie chart
- Statistical Plots: Histogram, Scatter plot, Box plot

MongoDB & NoSQL

MongoDB & NoSQL
- What is MongoDB?
- Use of MongoDB
- Introduction to NOSQL
- Queries in MongoDB
- CRUD Operation in MongoDB
- MongoDB Compass in Reactjs
- How to connect MongoDB with NodeJs
- MongoDB create Database
- MongoDb Insert
- MongoDb Find
- MongoDb Sort
- MongoDb Delete
- MongoDb Update
- MongoDb Limit

HADOOP (Bigdata)

Introduction to Hadoop & Bigdata
- HDFS - Hadoop Distributed File System
- Comparing Hadoop & SQL
- Hadoop Architecture
- Map Reduce & HDFS
- Using the Hadoop single node image (Clone)
HDFS
- HDFS Design & Concepts
- Blocks, Name nodes and Data nodes
- HDFS High-Availability and HDFS Federation
- Hadoop DFS The Command-Line Interface
- Basic File System Operations
- Anatomy of File Read & Write
- Block Placement Policy and Modes
- More detailed explanation about Configuration files
- Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
- FSCK Utility. (Block report)
- HDFS Federation
SQOOP
- Introduction
- Import Data
- Export data
FLUME
- Introduction
- Flume Commands
Map Reduce
- Functional Programming Basics
- Map and Reduce Basics
- Anatomy of a Map Reduce Job Run
- Architecture
- Job Completion, Failures
- Shuffling and Sorting
- Splits, Record reader, Partition, Types of partitions & Combiner
- Speculative Execution
- Types of Schedulers and Counters
- YARN
- Sequential Files and Map Files
- Hands on Word Counter in Map/Reduce in standalone and Pseudo distribution Mode
Hive
- Installation
- Introduction and Architecture
- Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
- Meta store
- Hive QL
- Derby Database
- Working with Tables
- Primitive data types and complex data types
- Working with Partitions
- Hive Bucketed Tables and Sampling
- External partitioned tables
- Differences between ORDER BY, DISTRIBUTE BY and SORT BY
- Log Analysis on Hive
- Hands on Exercises
NoSql Database
- Introduction
- Types
- Brief Of Nosql Database
HBase
- HBase Installation
- HBase concepts
- HBase Data Model and Comparison between RDBMS and NOSQL
- Master & Region Servers
- HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
- Catalog Tables
- Block Cache and sharing
- SPLITS
- DATA Modeling
- HBASE Filters
- Bulk Loading and Coprocessors
- Real world use case consisting of HDFS, MR and HBASE
SPARK
- Spark and its purpose
- Components of Spark
- Using Spark with Hadoop
- Resilient Distributed Dataset (RDD)
- Working with Key-Value Pairs
- Downloading and installing Spark Standalone
- Scala Overview
SCALA
- Fundamental Of Scala
- Basic Syntax and Operators
- Programming with Spark
SOLR
- Fundamental Of Solr
- Installation of Solr Standalone
- Basic Solr Concept
- Demo
Best Practise

Data Engineering Courses & Job Oriented Training Programs

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Online Live Training

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✅ 1-2-1 Online Doubt Solving via screen share.
✅ Free Lecture / Free Demo / Lecture Recordings available.
✅ 100% refund if you don't understand first 2 lectures.

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✅ 1 Year Access
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