POWER BI Full Stack Course in KPHB Hyderabad

1. MS SQL Server

2. Power BI

3. MSBI (SSIS, SSRS, SSAS Tabular Model)

4. ADF ( Azure Data Factory)

MICROSOFT SQL SERVER (SQL + T-SQL)

Overview:
Microsoft SQL Server is one the most popular Relational Database Management System (RDBMS)
used in Microsoft universe. It can be used for data storage as well as for data reading for applications
which can be either on desktop or API/Browse.

Course Objectives: Learn about SQL–Structured Query Language
Build database using Data Definition Language Statements Perform basic CRUD operations using
Data Manipulation Language statements like Insert, Update and Delete Write and call Stored
Procedures, Functions, Triggers, Cursors and Optimizations techniques in a database.

Pre-requisite / Target Audience:
This sql server course can be taken by any beginner who wants to build career in Information
Technology. The subscriber needs to have working knowledge of Windows Operating System.

Module 1:- Introduction to Basic Database Concepts

• Overview of Data, Field, Record, Files, File Groups and database Limitations of File Management System.
• Exploring Relational DBMS VS RDBMS Understanding Client And Server Architecture

Module 2:- Normalization

• First Normal Form, Second Normal Form, Third Normal and EF.Cod rules Form Practically Normalizing Tables

Module 3:- Introduction to SQL Server

• SQL Server Version history and different editions
• Overview of Components, Tools and Software Installations Starting and Stopping SQL Server Instances / Services Introduction to Management Studio
• Types of System Databases in SQL (Master, Model, MSDB, TempDB)

Module 4: Introduction to SQL

• SQL Commands (DDL,DML,DQL,TCL,DCL)
• Data types, Operators types of Operators Exploring Commands with Examples

Module 5: Working with Constraints & Data Integrity

• Primary Key, Unique, NULL, NOT NULL,CHECK, Default, Composite Key, Candidate Key and Foreign key
• Real time scenarios to create database and Objects

Module 6: Working with Queries (DQL)

• Understanding Select Statement \ Query Processing steps
• Clauses (TOP, WHERE, GROUP BY, HAVING, Order By with Offset and fetch) with Operators CASE and IIF Statement

Module 7: Aggregate Functions / String Functions / Date & Time Functions

• Using String functions in Queries
• Count, Sum, Min, Max, Avg, Group by and Having Clauses Date time Functions
• Windows Functions / Analytical Functions with Grouping sets, Rollup and Cube
• RANK Functions

Module 8: Set Operators

• Introduction of Set Operators and Types UNION, UNION ALL, INTERSECT, EXCEPT

Module 9: Sub Query’s

• Introduction of Sub query’s
• Sub query’s, Co-Related Sub Query’s

Module 10: Joins

• Introduction to Joins and types
• Inner Join / Left Outer Join / Right Outer Join / Full Outer Join /Self-Join /Cross Join

Module 11: Table Expressions / Temporary tables

• Derived Tables , Table variables, CTE (Common Table Expressions),Temporary Tables
  (Local,Global) PIVOT / UNPIVOT, Temporal tables

Module 12: Working with Indexes

• Heap structure vs. B-Tree Structure Format Types Of indexes
• Clustered Index, Non-Clustered Index, Filter Index, Covering Index, Column Store index, Index Scan, Index Seek, Index Re-Organize and Index -Rebuild

Module 13: Implementing Views & partitions

• Introduction & Advantages of Views
• Types of Views (Simple / Complex / Materialized) Creating, Altering, Dropping Views
• SQL Server Catalogue Views (System Defined Views)

Module 14: Transactions

• ACID Properties, ISOLATION Levels, Locks.
• Transact-SQL (T-SQL)

Module 15: Basics of T-SQL Programming

• Variables Introduction & Types of Variables and Usage IF – Else, While structure programs.
• System functions

Module 16: Working with Stored Procedures (SP/Procs)

• Introduction to stored procedures
• Syntax of Creating, Executing, Altering, Dropping of Procedures Input-Output and Optional Parameters
• Procedure Optimization techniques Error Handling in Stored Procedures
• Stored procedures vs. User defined functions

Module 17: Working with Functions (UDF)

• User Defined Functions and types Of UDF Creating, Altering and Dropping Functions
• Scalar Functions, Inline Table Valued Functions, Multi Statement Table Valued Functions

Module 18: Implementing Triggers

• Introduction to triggers Constraints vs Triggers
• Creating, Altering, Dropping triggers Magic Tables
• Instead of Triggers

Module 19: Working with Cursors

• Introduction of cursors , Advantages of cursors, Creating Cursors, Types of cursors, Locks on cursors

Module 20: Backup and Restore

• Generating & executing SQL Script
• Taking database Backup and Restoring database using backup

Module 21: Query Performance Techniques & XML Data Types

• Query Optimization Techniques and SQL Profiler Overview.

Module 22: SQL Server Agent (Job Schedules)

• Introduction of SQL Server Agent
• Create a Job and Schedule a time to Process data automatically

Module 23: REAL-TIME PROJECT on BANKING / Retail Domain

                                                   Power BI

Power BI Complete Introduction

• Power BI Introduction, Brief History of Power BI, Data, Data Visualization, Reporting, Business Intelligence (BI), Traditional BI, Self-Serviced BI, Cloud Based BI, On Premise BI.
• Power BI Report Server, Power BI Service, Power BI Mobile, Paginated Reports
• Flow of Work in Power BI / Power BI Architecture
• Power BI Desktop Installation and Hands on practice

PBI Desktop & Power View Overview

• Power BI Desktop Components (Power Query, Power Pivot, Power View, Power Map, Q&A, Data Gateway)
• Building Blocks of Power BI (Fields, Filters, Visualizations, Reports, Data, Model Dashboards and Tiles)
• Data Connectivity Modes (Import, Direct, Live & Composite Models)
• Get Data Connecting Multiple source and represent the data
• Overview of default and Custom visualizations
• Power BI Desktop User Interface.
• Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas, Visual Edit Interactions, Sync Slicer, Selection Pane, Buttons, Book Marks, Conditional formatting.

                                      Power View

• Report View User Interface Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas, Visual Interactions, Interaction Type (Filter, Highlight, None) Visual Interactions Default Behaviour, Changing the Interaction.
• Filter Types, Visual Level Filters, Page Level Filters, Report Level Filters, Drill Through Filters,
• Filter Sub Types, Basic Filtering, Advanced Filtering, Top N, Relative Date Filtering
• Numeric field filters, Text field filters, Date and Time field Filters

Hierarchies and Drill-Down Reports

• Hierarchy Introduction, Default Date Hierarchy, Creating Hierarchy, Creating Custom Date Hierarchy, Change Hierarchy Levels, Drill-Up and Drill-Down Reports, Data Actions, Drill Down, Drill Up, Show Next Level, Expand Next Level, Drilling filters other visuals option

Power BI Visualizations

• Visualizing Data, , Visualization types, Field Values, Visuals for Filtering, Visualizing, Categorical Data, Visualizing Trend Data, Visualizing KPI Data, Visualizing Tabular Data, Visualizing Geographical Data, Leveraging Power BI Custom Visuals

Visuals for Filtering

• Slicer / Sync Slicer Visualization, When to use a Slicer, Create and format Slicer Visualization, Hierarchy Slicer (Custom Visualization), When to use a Hierarchy Slicer, Create and format Hierarchy Slicer, Advantages of Hierarchy Slicer

Visualizing Categorical Data

• Create and Format Bar and Column Charts, Create and Format Stacked Bar Chart Stacked Column Chart, Create and Format Clustered Bar Chart, Clustered Column Chart, Create and Format 100% Stacked Bar Chart, 100% Stacked Column Chart, Create and Format Pie and Donut Charts, Create and Format the Tree Map Visual, Create and Format Scatter Charts

Visualizing Trend Data

• Line Chart, Area Charts, Create and Format Line Chart, Area Chart, Stacked Area Chart, Combo Charts, Create and Format Line and Stacked Column Chart, Line and Clustered Column Chart, Create and Format Ribbon Chart, Waterfall Chart, Funnel Chart

Visualizing KPI Data

• Create and Format Gauge Visual, KPI Visual, Create and Format Card Visualization, Multi Row Card
• Visualizing Tabular Data, Geographical Data & R Script Visual
• Create and Format Table Visual, Matrix Visualization, Create and Format Map Visual, Filled Map Visual, Arc GIS Maps Visual, Create and Format R Script Visual
• Interview Questions Discussion and Practical Scenario based Tasks

Power Query Editor \ Transform Editor

• Introduction to Power Query – Extract, Transform and Load (ETL)
• The Queries Pane, The Data View / Results Pane, The Query Settings Pane, Formula Bar, Advanced Editor – Complete ETL Code.
• Overview of Power Query / Transform Editor
• Data types, Changing the Data type of a Column
• Filters in Power Query, Auto Filter / Basic Filtering, Filter a Column using Text Filters
• Filter a Columns using Number, Date and Text

Inbuilt Column Transformations

• Remove Columns / Remove Other Columns, Name / Rename a Column, Reorder Columns or Sort Columns, Add Column / Custom Column, Split Columns, Merge Columns, PIVOT, UNPIVOT Columns, Transpose Columns, Invoke functions

In built Row Transformations

• Header Row or Use First Row as Headers, Keep Top Rows, Keep Bottom Rows, Keep Range of Rows, Keep Duplicates, Keep Errors, Remove Top Rows, Remove Bottom Rows, Remove Alternative Rows, Remove Duplicates, Remove Blank Rows, Remove Errors, Group Rows / Group By

Combine Queries (Append Queries & Merge Queries)

• Append Queries, Append Queries as New, Append 2 or more files individually with different queries, Appending multiple files of same type from a folder using single query, Query Options ,Copy Query, Paste Query, Delete Query, Rename Query, Enable Load, Include in report Refresh ,Duplicate Query, Reference Query, Move to Group, Move Up, Move Down

Merge Queries / Join Queries

• Merge Queries, Merge Queries as New, Default Types of Joins / Join Kinds / Merge Type, Left Outer (all from first, matching from second), Right Outer (all from second, matching from first), Full Outer (all rows from both), Inner (only matching rows), Left Anti (rows only in first), Right Anti (rows only in second).

Grouping, Binning & Sorting

• Grouping and Binning Introduction, Using grouping, Creating Groups on Text Columns, Using binning, Creating Bins on Number Column and Date Columns, Sorting Data in Visuals, Changing the Sort Column, Sort Order, Sort using column that is not used in the
  Visualization, Sort using the Sort by Column button

                               Power Pivot (DAX)

Power BI Data Modeling – Relationship View

• Data Modeling Introduction
• Relationship, Need of Relationship
• Relationship Types / Cardinality in General
• One-to-One, One-to-Many (or Many-to-One), Many-to-Many
• AutoDetect the relationship, Create a new relationship, Edit existing relationships
• Make Relationship Active or Inactive
• Delete a relationship
• Cross filter direction (Single, Both), Assume Referential Integrity

Enhancing the Data Model – DAX

• Introduction of DAX, Calculated Columns, Measures, Example of Creating Calculated Columns, Creating Measures and Calculated Tables, Implicit Vs Explicit Measures, Row Filter vs. Context filters, DAX Operators, Types of Operators, Arithmetic Operators, Comparison Operators, Text Concatenation Operator, Logical Operators.

DAX Functions Categories

• Date and Time Functions
• Text Functions
• Logical Functions
• Aggregate Functions
• Filter Functions
• Information Functions
• Relationship Functions
• Time Intelligence Functions
• Table Manipulation Functions

Date & Time Functions

• YEAR, MONTH, DAY, WEEKDAY, WEEKNUM, FORMAT (Text Function) a Month Name, Weekday Name
• DATE, TODAY, NOW, HOUR, MINUTE, SECOND, TIME,DATEDIFF, CALENDAR, Calendar Auto, Creating Date Dimension Table

Text Functions

• COMBINEVALUES,CONCATENATE,CONCATENATEX,EXACT,FIND,FORMAT,LEFT,LEN,LOWER,REPLACE,RIGHT,SEARCH,SUBSTITUTE, TRIM, UPPER,VALUE
• Logical Functions
• IF, TRUE, FALSE, NOT, OR, IN, AND, IFERROR, SWITCH

Aggregate Functions

• AVERAGE, AVERAGEA, AVERAGEX, COUNT, COUNTA, COUNTAX, COUNTBLANK, COUNTROWS, COUNTX, DISTINCTCOUNT, DISTINCTCOUNTNOBLANK, MAX, MAXA, MAXX, MIN, MINA, MINX, SUM, SUMX.

Filter Functions

• ALL,ALLCROSSFILTERED,ALLEXCEPT,ALLSELECTED,CALCULATE,CALCULATETABLE,EARLIER,EAR LIEST,FILTER, KEEPFILTERS, LOOKUPVALUE, SELECTEDVALUE

Information Functions

• CONTAINS,HASONEFILTER,HASONEVALUE,ISBLANK,ISCROSSFILTERED,ISEMPTY,ISERROR,ISFIL TERED, SELE CTEDMEASURE, USERNAME, USEROBJECTID, USERPRINCIPALNAME.

Relationship Functions

• CROSSFILTER, RELATED, RELATEDTABLE, USERELATIONSHIP

Time Intelligence Functions

• CLOSINGBALANCEMONTH, CLOSINGBALANCEQUARTER, CLOSINGBALANCEYEAR, DATEADD,DATESBETWEEN, DATESINPERIOD, DATESMTD, DATESQTD, DATESYTD, ENDOFMONTH, ENDOFQUARTER, ENDOFYEAR, FIRS TDATE, FIRSTNONBLANK, LASTDATE, LASTNONBLANK,
  NEXTDAY, NEXTMONTH, NEXTQUARTER, NEXTYEAR, OPENINGBALANCEMONTH, OPENINGBALANCEQUARTER, OPENINGBALANCEYEAR, PARALLELPERIOD, PREVIOUSDAY,
  PREVIOUSMONTH, PREVIOUSQUARTER, PREVIOUSYEAR, SAMEPERIODLASTYEAR, STARTOFMONT H, STARTOFQUARTER, STARTOFYEAR, TOTALMTD, TOTALQTD, TOTALYTD

Table Manipulation Functions

• ADDCOLUMNS, CROSSJOIN, DISTINCTcolumn, DISTINCTtable, EXCEPT, FILTERS, GENERATESERIES, GROUPBY, I NTERSECT, NATURALINNERJOIN, NATURALLEFTOUTERJOIN, ROLLUP, ROLLUPGROUP, SELECTCOLUMNS, SU MMARIZE, SUMMARIZECOLUMNS, TOPN, UNION, VALUES

Power BI Service (Admin Activities)

Power BI Service Introduction

• Power BI Service Introduction, Power BI Cloud Architecture, Creating Power BI Service Account, SIGN IN to Power BI Service Account, Publishing Reports to the Power BI service, Import / Getting the Report to PBI Service, My Workspace / App Workspaces Tabs, DATASETS, WORKBOOKS, REPORTS, DASHBOARDS, Working with Datasets, Creating Reports in Cloud using Published Datasets, Power BI Datasets Live Connection using Desktop, Working with Workbooks, working with Reports, Sharing Reports

Dashboards Development

• Creating Dashboards, Pin Visuals and Pin LIVE Report Pages to Dashboard, Advantages of Dashboards, Interacting with Dashboards, Adding Tiles to Dashboards, Web Content, Image, Text Box, Video, Formatting Dashboard, Sharing Dashboard

Data Gateways

• Introduction to Data Gateways, Download Data Gateway , Installing a Data Gateway, Types of Gateways, On-premises Data Gateway(Standard Gateway), On-premises Data Gateway (personal mode\Private),Data Gateways work Connect to an on premise Data Source by using a Data Gateway, Manage Data Gateway, Add and Remove Administrators, Add Data Source, Add or Remove Users to a Data Source, Refresh On Premise Data, Configuring Automatic Refresh using Schedules

Collaboration in Power BI using App Workspace

• Introduction to App Workspaces, Create an App Workspace, Add Members to App Workspace to Collaborate, App Workspace Roles Access, Admin, Member, Contributor, Assign Workspace to Deployment Pipelines.

Sharing Power BI Content using Apps and Content Packs

• Introduction to App, Publish an App, Update a Published App, Organization, Specific individuals or group, Un publishing an App, Content Pack Introduction, Create Content Pack, Sharing Content Packs, Specific Groups, My Entire Organization

Row Level Security in Power BI (RLS)

• Introduction to Row Level Security, Row Level Security (RLS) with DAX Dynamic & Static, Manage Roles, Creating Roles, Testing Roles, Adding Members to Roles in Power BI Service, Dynamic Row Level Security, Creating Users Table and Adding to the Model, Capturing users using Username () or UserPrincipalName () Functions.

Data Flows

• Over view of Datasets & Data Flows.

Report Server, Report Builder

• Need for Report Server in PROD, Install, Configure Report Server, Report Server DB, Temp Database, Web service URL, Web portal URL, Power BI DesktopRS, Uploading Interactive Reorts, Report Builder, Report Builder For Power BI Cloud, Designing Paginated Reports

Microsoft Business Intelligence (MSBI)

Introduction to Business Intelligence SQL Server 2008R2/2012/2015/2017/2019 Business Intelligence

Course Agenda:

• SQL Server 2008R2/2012/2015/2017 Integration Services (SSIS) – (ETL)
• SSIS Package Architecture Overview
• Installations of software’s and Overview of Utilization Development and Management Tools
• The Import and Export Wizard SSIS Package Components

Introduction to Data Flow

• Data Flow Overview, Data Sources, Data Destinations, Data Flow Transformations, Data Viewers

Data Sources

• Excel Source, Flat File Source, OLE DB Source, XML Source and Other Sources.

Data Flow Transformations

• Aggregate Transformation, Audit Transformation, Character Map Transformation, Conditional Split Transformation, Copy Column Transformation, Derived Column Transformation, Data Conversion Transformation, Multicast Transformation, OLE DB Command Transformation, Percentage Sampling Transformation, Row Count Transformation, Sort Transformation, Union All Transformation

Advanced Data Flow Transformation

• Lookup Transformation, Merge Transformation, Merge Join Transformation, Slowly Changing Dimension Transformation, Pivot Transformation, Export Transformation, Import Transformation, Unpivot Transformation.

Data Flow Destinations

• Excel Destination, Flat File Destination, OLE DB Destination, SQL Server Database Destination

Introduction to Control Flow

• Control Flow Overview, Precedence Constraints, Execute SQL Task, Bulk Insert Task, File System Task, FTP Task, Send Mail Task, Bulk Insert Task, Data Flow Task, Execute Package Task Execute Process Task, Web Service Task, XML Task

Advanced Control Flow (containers)

• For Loop Container, For Each Loop Container, Sequence Container

Variables and Configurations (Local & Global)

• Variables Overview, Variable scope, SSIS system variables, using variables in control flow, using variables in data flow, using variables to pass information between packages.

Debugging, Error Handling and Logging

• SSIS debugging overview, Breakpoints in SSIS, Event Handlers ,Configuring Package Logging

Extending SSIS through Custom Code – Scripting

• Introduction to SSIS scripting, SSIS script editor (C#)

SSIS Package Deployment – SSIS DB CatLog / File System

• Configurations and deployment utilities, Deployment options (Package / project).

SSIS Package Management

• The SSIS Service, Managing packages with SQL Server Management Studio, Scheduling packages with SQL Server Agent.

SSIS Real Time Project – (Retail / Banking)

• SSIS ETL & DWH with STAR Schema, SSIS ETL & DWH with SNOWFLAKE Schema, Dimension Table Design & Business Keys, Fact Table Design, Data Integrity, Incremental Data Loads with Containers, Key Lookup and Business Key Identification, Staging Tables, Master – Child Packages, SSIS Package Deployment [Catalog Deployments].

SSIS Training:

• Project Specifications, Project Explanation and Solution, Project FAQs and Resume Support, Chapter Wise FAQs and Answers, Concept Wise Tasks and Solutions, SSIS DWH Databases with Reports, Technical Resume Points in SSIS, End to End Implementation [MSBI].

SQL Server 2008R2/2012/2014/2016 Reporting Services

SQL Server Reporting Services (SSRS) Architecture

• Report Server Configuration
• Report Server Architecture
• Report types and formats
• SSRS Web Services
• Report Server
• Report Builder
• Model Designer

Data sources:

• SQL Server, Oracle, OLE DB, XML

Authoring Reports

Creating basic reports

• Tabular
• List
• Matrix
• Chart
• Constructing data sources and Datasets
• Inserting a data region, fields and images

Leveraging expressions& Types

• Built in Expressions
• Calculating fields
• Integrating expressions in properties
• Applying conditional formatting
• Adding images

Grouping and sorting data

• Grouping to multiple levels
• Sorting the results
• Employing aggregate functions Implementing Parameters and Filters Building parametersinto reports
• Returning subsets of data with query parameters
• Mapping report parameters to query parameters
• Building cascading report parameters
• Passing parameters to stored procedures
• Exploiting multivalve parameters

Restricting report data with filters

• Enhancing performance with filters
• Filters vs. query parameters
• Localizing tables and queries Leveraging Advanced Reporting Features Combining data regions in one report
• Utilizing sequential and nested regions
• Producing master/detail reports
• Linking sub reports

Presenting data with appropriate detail

• Revealing report detail with drill down
• Displaying related data with drill through
• Navigating with document maps Deploying and Delivering Reports Deploying reports to the server
• Preparing reports for publishing
• Configuring project properties
• Units of deployment: Individual reports, projects, solutions, data sources
• Checking results with Report Manager

Securing Reporting Services Securing the RS environment

• Assigning users to roles
• Setting permissions on report items
• Granting and revoking system-level permissions

Creating reports with Report Builder

• Deploying Report Builder to users
• Dragging and dropping entities onto charts and tabular reports
• Navigating data with infinite drill through Creating Reports with REST API / XML

ADD ON:

• Interview questions and Discussions
• Real time Project Explanation
• Resume preparation

Azure Data Factory (ADF)

Introduction to Microsoft Azure

• what is Cloud computing
• what are services offering Microsoft azure
• Advantages of cloud computing
• Types of cloud deployments
• Types of cloud Services
• Microsoft Azure vs. AWS
• How to Create Azure Account
• Understand Azure Management Portal
• Azure Architecture & Services
• How to Create Resources and Resource Groups in Microsoft Azure
• Azure Resource Manager vs. classic deployment
• How to create Virtual Machine

Storage Account in Azure

• Create a Storage Account
• Blob, File, Queues, Tables, Security in Storage Account, Access keys, Share Access Signatures
• Create Containers and Blobs
• Install & Explore Azure Storage Explorer
• Create SAS tokens and understand the benefits of SAS tokens
• Copy Files from on pre Blob, File, Queues, Tables, Security in Storage Account, Access keys, Share Access Signatures
• Create File Shares and sync the files
• Create Tables using Storage Explorer

Azure SQL Database

• What is Azure SQL
• Azure SQL Managed Instance, SQL in Virtual Machine
• How to Create Database in Azure SQL Server
• What is Elastic Pool in Azure SQL Data base
• How to Query Azure SQL Server from On-premises SSMS and Cloud
• What is Polybase in Azure SQL
• What is an External table
• How to Load Data from On-premises to Cloud SQL using data factory
• Migration of Existing Data from on premises to SQL Azure

Azure Data Factory

• Azure Data Factory vs SSIS
• Linked Services, Data Sets, Pipelines
• Parameters vs Variables
• Copy Data, Monitor Manage,
• Different kinds of integration runtimes
• How to create pipelines from template
• How to configure different Integration Runtimes
• Azure Integration runtime,
• Azure Self Hosted Integration Runtime,
• SSIS Integration runtime.
• Move & transform, Copy Data, Append Variable, Execute Pipeline, Execute SSIS Package
• Get Metadata, Lookup, Stored procedure, Set Variable, Delete, Wait, Until,
• Iteration & Conditionals, Filter, For Each, If Condition, Until
• Incremental Loading in Azure Data factory using Blob Storage to SQL Implementing Slowly changing Dimension Data Flow
• Source, Lookup, Derived Column, Alter Row, Conditional Split, Sink

Azure – Deployment as Code using ARM Templates

• What are ARM Templates using for Deployment
• How to Deploy Data Factory Pipelines DEV, Test, Prod environment
• Version Control and Code Repository in Git Hub
• Debugging and Monitoring Pipelines
• Error handling and Logging error records
• Lift and Shift SSIS packages in to Azure Data Factory.

Azure Data Lake

• Blob Storage vs Data Lake
• What is Data Lake & Date Lake Gen1 Vs Gen2
• How to store Data into data lake
• How to Query data from Data Lake to SQL Server.
• Introduction to Azure Data Lake U-SQL Batch Job
• How to Schedule Data Lake Analytics Jobs using Data Factory
• Azure Blob to Data Lake Gen 2 using Data Factory

Real-time Projects on [Sales & Customers & Education] domains Resume, Project Oriented FAQs and Solutions