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AZURE DATA ENGINEERING with FABRIC ANALYTICS Course Details |
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Subcribe and Access : 5200+ FREE Videos and 21+ Subjects Like CRT, SoftSkills, JAVA, Hadoop, Microsoft .NET, Testing Tools etc..
Batch
Date: Apr 8th @8:00PM
Faculty: Mr. U. Seshadri (20+ Yrs of Exp,..)
Duration : 3 Months
Venue
:
DURGA SOFTWARE SOLUTIONS,
Flat No : 202,
2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038
Ph. No: +91 - 8885252627, 9246212143, 80 96 96 96 96
Syllabus:
Full Stack Data Engineering with Azure
(MySQL + Python + PySpark + ADE + Fabric)
SQL
- Introduction to SQL
- Popular Databases – MySQL
- SQL Basics
- Database, Tables
DDL, DML, DCL, TCL
- SQL Constraints
- Not Null
- Primary Key
- Foreign Key
- Default
- Check
- Unique
- SQL Data Types
- SQL DQL
- Select
- Group By
- Having
- Order By
- SQL Joins
- Inner Join
- Left Join
- Right Join
- Full Join
- Self-Join
- Cross Join
- SQL Advanced Queries
- SQL Windows Functions
- SQL CTE/Hierarchical Queries
- SQL Views
- SQL Indexes
- PLSQL
- SQL vs PLSQL
- Procedures
- Functions
- Triggers
- SQL Project
- SQL Data Engineering Use Case
PYTHON
- Python Introduction:
- History & features of Python
- Python Vs Other Programming Languages
- First Python Program
- Python basic syntax
- Python Development Tools & Packages
- Installing Python
- Verify & Setup Python environment
- Variables
- Python Data Types:
- Data Types
- Strings
- Type Casting
- Python Operators:
- Arithmetic Operators
- Relational Operators
- Logical Operators
- Bitwise Operators
- Assignment Operator
- Python Flow Control and Loops:
- if, if else, if else if
- while, do while loops
- for loops
- Python Functional Programming
- Function Declarations
- Calling Functions
- Functions Call-by-Name
- Functions with Named Arguments
- Functions with Variable Arguments
- Functions with Default Parameter Values
- Lambda Functions
- Python Collections:
- Lists
- Tuples
- Sets
- Dictionaries
- Python File I/O
- Reading input from console
- Reading data from Files
- Writing data to Files
- Python Object Oriented Programming
- Simple class
- Class objects
- Inheritance
- Python Exception Handling:
- Throwing Exceptions
- try, catch, finally
- Catching Exceptions
- The Finally Clause Python Miscellaneous
- Modules
- Dates
- RegEx
Dataware House
- Dataware House
- What is Data Warehouse?
- Why do you need Data Warehouse?
- Ideal Data Warehouse Solution
- Database Schemas:
- Star Schema
- Snowflake Schema
- Data Modeling:
- Fact Tables
- Dimension Table
- Fact less Tables
- ETL:
- Introduction to ETL
- Compare ETL to ELT
- ETL Design
BigData and Pyspark
- Introduction to Bigdata
- Growth of Bigdata
- Traditional Database problems
- Traditional Database Processing problems
- Hadoop Architecture
- HDFS and MapReduce
- Hadoop 1.X and Hadoop 2.X
- HIVE, PIG, MapReduce
- Introduction of Spark
- Spark Architecture
- PySpark
Cloud Computing
- Problems in Traditional Storage Systems
- Problems in Traditional Processing Services
- Cloud Computing as Solution
- Cloud Services
- Comparison of AZURE, AWS and GCP
AZURE
- Overview of AZURE
- AZURE Free Account
- Azure Portal
- Azure Services and Applications
- Azure Services
- Azure Storage:
- Azure Blob Storage
- Azure Data Lake Store Gen I & Gen II
- Azure Disk Storage
- Azure SQL Database:
- Introduction to Azure SQL Database
- Azure Single Database
- Azure Data Factory:
- What is Data Factory?
- Data Factory Components
- Data Factory - Pipelines
- Data Factory - Activities
- Data Factory - Linked Services
- Data Factory - Datasets
- Data Factory - Triggers
- Data Factory - Dataflow
- Data Factory - Parameters
- Data Factory – Monitoring
- Azure Synapse Analytics:
- What is Synapse Analytics Service?
- Create Dedicated SQL Pool Explore Synapse Studio V2
- Analyse Data using Apache Spark Notebook
- Analyse Data using Dedicated SQL Pool
- Monitor Synapse Studio
- Azure Stream Analytics:
- Introduction to Azure Streaming Analytics Service
- Spark Analytics - Time Windowing
- Spark Analytics - Monitoring
- Spark Analytics - Optimization
- Spark Analytics - Types of Window Functions
- Introduction to Data Bricks
- Why Databricks in Cloud?
- Azure - Databricks Clusters
- Azure - Databricks Components
- Azure - Monitoring
- Explore, Analyse, Clean, Transform and Load Data in Databricks
- Azure CosmosDB:
- Introduction to Cosmos DB
- Cosmos DB Features
- Storage vs. Cosmos DB
- Provision Cosmos DB Account
- Cosmos - Database, Containers and item
Project:
- On-Premise ETL Demo Example
- Cloud ETL Demo Example
- On-Premise Databases Migration
- End to End Project – Health Care
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