Speaker

Rajendra Ongole

Rajendra Ongole

Microsoft Data Platform MVP | Lead BI Engineer @Bosch Digital | Super User Fabric Community | MCT

BOSCH,BI-SPECIALIST/ARCHITECT

Hyderābād, India

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I am currently working as a BI Lead Specialist within the Engineering and Tech Lead Team at Bosch Digital. Holding more than 8 certifications from Microsoft, such as Microsoft Certified Fabric Analytics Engineer, Power BI Analyst, and Microsoft Certified Trainer. I’ve shared insights in Power Platforms forums through sessions, and I contribute through blogging. I worked on different projects, delivering insights to clients. My current skills include: Microsoft Fabric, Microsoft Power BI, SQL, Azure Databricks, Microsoft Excel, Python, and Spark My knowledge-sharing efforts extend across various platforms, including writing blogs, technical reviews of books, forum participation, and live sessions. I take pride in actively participating in and contributing to the Microsoft forums, where I consistently share valuable insights and knowledge.

Area of Expertise

  • Information & Communications Technology

Topics

  • Data Analytics
  • power bi desktop
  • Data Science & AI
  • power bi service
  • Data Visualization
  • Power Apps
  • Data Management
  • Power Platform
  • Microsoft Fabric
  • Microsoft Business Intelligence
  • Copilot
  • Copilot/AI
  • GitHub Advanced Security
  • PowerBI Governance
  • Copilot Studio
  • Fabric Data Warehouse
  • Fabric Data Engineering

Copilot for Power BI

Copilot for Microsoft Fabric Public Preview is available in Power BI. Copilot helps you use the transformational power of generative AI to get the most from your data.

Security in Power BI

Row-level security Static method Dynamic method

Data Engineering in Microsoft Fabric

In this session we will do a deep dive into the data engineering workload in Microsoft Fabric. We will cover the end-to-end data engineering capabilities including the lake house, SQL Endpoint. Join the session to learn more about Data engineering.

Data warehouses in Microsoft Fabric

Describe data warehouses in Fabric
Understand a data warehouse vs a data Lakehouse
Create and manage datasets within a data warehouse.

Domains (preview)

What are Fabric domains?
Key concepts
Create a domain
Configure a domain

Microsoft Fabric BI- Data Engineering Use case

Microsoft Fabric aims to revolutionize the access of data and AI services to consolidating all relevant components on to a unified platform. In this session we will delve into various data engineering services and construct a comprehensive lake house utilizing fabric components

Microsoft Fabric BI- Data Engineering Use case

Synapse Data Engineering
Build Lakehouse
Lake house Architecture
Lakehouse Explorer
SQL Endpoint of Lakehouse
One Lake
Workspace
Shortcuts
Built-in Modelling view
Generate Power BI Report

Field Parameters in Power BI

What is Fields Parameter?
What does it do?
How to use it in Power BI
How to call field parameters from what if parameters field
Dynamic parameter addition in report
Report preparation using Dynamic parameter

Dynamic selection of Category in Line chart using Power BI

Category fields in entity at a time how can we compare two fields dynamically Hassle free using DAX function, without any advanced functionalities used in Power BI.

Dax In Power BI

Introduction
Import data & create data model
Define relationships
Create new measure using sum function
Format measures
Edit & delete measures
Create new measure using count function
Create new measure using distinct function
Add comments to measures
Create new measure with operators
Quick Measure tool
Create calculated column
Measure vs. calculated column
Measure that references another measure
Iterator functions
Time & date functions
Find function
If function
Calculate function
Recap
Happy to Help if there is any questions

Dax Basics

Introduction of Dax
Calculated Column vs Measure
Case Study

Data analysis in Power BI

Introduction
Import data & create data model
Define relationships
Create new measure using sum function
Format measures
Edit & delete measures
Create new measure using count function
Create new measure using distinct function
Add comments to measures
Create new measure with operators
Quick Measure tool
Create calculated column
Measure vs. calculated column
Measure that references another measure
Iterator functions
Time & date functions
Find function
If function
Calculate function

(Virtual) Kansas City SQL Server Users Group User group Sessionize Event Upcoming

March 2025

Low Code/ No Code Power Platform Conference Sessionize Event

November 2024

Data Toboggan - Alpine Coaster 2024 Sessionize Event

November 2024

Cloud Data Driven User Group 2024 Virtual Sessions User group Sessionize Event

March 2024

Data Toboggan - Alpine Coaster 2023 Sessionize Event

November 2023

Gimme Cloud Talks User group Sessionize Event

September 2022

Rajendra Ongole

Microsoft Data Platform MVP | Lead BI Engineer @Bosch Digital | Super User Fabric Community | MCT

Hyderābād, India

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