Learners 1000+
-
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
-
Scope & Job Openings -
Highly Demanded > Quick Jobs!
-
Job Opportunities -
Data Engineerm, Data Architect, Database Developer etc.
Syllabus
Job Opportunity
Data Engineering Course
- Oracle 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
- 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
- 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
- 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)
- 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
- 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
- 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
Syllabus
Why Choose Us?
Job-Focused Training From Experts
Personalized Mentorship & Doubt Solving
80% Practical & 20% Theory
Real World Projects
Study Material, Lecture Recordings etc.
Industry Recognized Certificate
Interview Preparation
+ Confidence Booster
(esp. freshers)
1000+ Companies
Best Placement Service
... the list is extensive
To Experience Our Benefits,
Best IT Training, Since 2014
ISO & MSME Certified
Expert Trainers
100% Practical Training
Job Ready Curriculum
Projects / Case Studies
Short Batches, Individual Attention
Online / Offline / Hybrid Batches
Lecture Recordings as applicable
Interview & CV Preparation
Get Certified
Reasonable Fees
Free Demo
1000+ Companies
Best Placement Service etc.
Trending Courses
Certification
Get Certified - Get a valid course completion ISO certificate accepted in the industry.
Courses
Training Programs
Online Training Fees
Online live interactive lectures conducted on Microsoft Teams, Googlemeet etc. & not pre-recorded lectures.. Free Lecture / Free Demo / Lecture Recordings available.
Today's Offer
0
Days
:
2
Hours
:
40
Minutes
:
20
Seconds
Fees
Total
Discount On Full Course
5% off on Multi Course
Pay
₹0
-
₹0
-
₹0
₹0
✅Emi available.
✅ Fees in INR, International students, kindly convert fees in your currency.
✅ Fees in INR, International students, kindly convert fees in your currency.
Classroom Training
✅ Interactive Classroom Sessions, Hybrid Learning Mode available.
✅ Please submit inquiry form or visit institute for fees and batches.
✅ Please submit inquiry form or visit institute for fees and batches.
Upcoming Demos & Batches
Get notified about current and future demos & batches on mail / Whatsapp
Get Details
Self Paced Learning
Learn From Online Batch Recording
(watch preview)
(If video goes blank, means practice time is given. For best experience watch without skipping.)
Today's Offer
Overview :
Duration : + your practice time
Benefits:
✅ 100% Job Oriented Course
✅ Instant Activation
✅ 1 Year Access
✅ 100% Refund Policy
✅ 6-months Partial or Lecture wise refund policy
✅ Training Material
✅ Software Installations
✅ Basic to Adv. Modules
✅ Certificate
✅ Project / Case Study
✅ Interview Preparation... etc.
Best for those who want to learn Job Oriented Course at Own Pace Anywhere AnyTime!
More Info :-
✅ Who can enroll? - Freshers, Beginners, Exp. etc. those who want to learn job oriented courses at own pace at own time.
read more ...