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AZURE DATA ENGINEERING with FABRIC ANALYTICS Course Details
 

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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
    • IAAS
    • PAAS
    • SAAS
  • 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