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This 1:1 call is for people in healthcare industry be it - Doctors Startup-entrepreneurs M&A officials Healthcare Consultants Students The idea is to have a detailed discussion on the problem that you want to solve and how I can guide/ help you to move forward.

Ask away anything related to my expertise. I’ll try my best to help you out 🙂

As a Business Analyst we often need to gather system interface requirements. I was getting lot of messages for a document related to interface requirements gathering. I have created a very detailed 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐆𝐮𝐢𝐝𝐞 𝐓𝐨 𝐆𝐚𝐭𝐡𝐞𝐫 𝐒𝐲𝐬𝐭𝐞𝐦 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐀𝐬 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭𝐬. It is a 96 page document which covers, 1️⃣ What is a System Interface? 2️⃣ Real-World Example explaining System Interface 3️⃣ How a Business Analyst Gathers System Interface Requirements through: Stakeholder Engagement: Talking to users, system owners, and developers to understand the current systems, goals, and what the interface should achieve. Business Process Review: Understanding how the interface fits into the overall business processes. Data Requirements: Determining what kind of data will be exchanged between systems. Functional Requirements: Defining what the interface should do, including how and when data should be transferred. Non-Functional Requirements: Identifying security, performance, and reliability expectations. Integration Constraints: Understanding any technical limitations of the systems being integrated.

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I have covered all concepts in excel start from basic formulas like SUM, COUNT, MAX, MIN, AVG followed by conditional formulas like IF, SUMIF, COUNTIF, AVGIF etc. And then LOOKUP functions like VLookup, VLookup, hlookup And then we learned text functions , date functions , search , data validation , data duplication removals , pivots and then finally powerquery basic , shortcuts used for data filters, validation etc.

Hi, Click on this link to see the available slots. Looking forward to our meeting. Best Regards, MyB2BNetwork

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With over 1100 real interview questions and detailed answers, this bundle helps you understand how data engineers think, design, and execute solutions in enterprise projects Built from real interview experiences, production scenarios, and project insights, this exclusive Azure Data Engineering Interview Mastery Kit brings together the most in-demand technologies required to crack Azure Data Engineer interviews in one power-packed guide. Azure Data Engineering Core Services Covered - ↳ Azure Data Factory ↳ Azure Databricks ↳ Azure Synapse Analytics ↳ Microsoft Fabric Azure Data Engineering Coding & Programming Skills - ↳ Apache Spark ↳ PySpark ↳ Python ↳ SQL Data Warehousing & Data Modelling - ↳ Data Warehousing & Data Modelling Fundamentals ↳ Fact & Dimension Design ↳ Grain, Keys & Relationships ↳ Star, Snowflake & Galaxy Schema ↳ SCD & Historical Data ↳ Real Interview Questions from Data Engineering Interviews Bonus Azure Services Included - ↳ Azure Data Lake Storage Gen2 ↳ Azure SQL Database ↳ Azure Key Vault Here’s what you’ll gain inside - ✅ Azure Data Factory (ADF) - Master pipeline orchestration, dynamic parameters, integration runtime, triggers, dependency management, and debugging real-world workflows. ✅ Azure Databricks - Understand PySpark transformations, Delta Lake optimization, medallion architecture design, and CI/CD deployment pipelines in Databricks. ✅ Microsoft Fabric - Learn how Fabric integrates Lakehouse, Synapse, and Power BI for unified analytics; discover how modern data platforms are evolving ✅ Azure Synapse Analytics - Dive deep into data warehousing architecture, distributed query execution, and performance optimization for large-scale datasets. ✅ Azure Data Lake Gen2 - Learn best practices for folder structuring, incremental data ingestion, partitioning, and security management. ✅ Azure SQL Database - Grasp complex query optimization, indexing strategies, stored procedure integration, and how SQL powers backend data layers in Azure ecosystems. ✅ Azure Key Vault – Master secret management, managed identities, RBAC, certificate handling, and secure integration with Azure Data Factory, Azure Databricks, Synapse, and other Azure services through real-world interview scenarios. ✅ Core Python for Data Engineering – Learn Python fundamentals required in interviews: data structures, functions, error handling, file processing, API integration, and writing efficient, production-ready data pipelines. ✅ Apache Spark & PySpark (Core Focus) – Master distributed data processing, RDDs vs DataFrames, transformations vs actions, Spark SQL, window functions, optimization techniques, partitioning strategies, and real-world performance tuning scenarios asked in interviews. ✅ SQL (Core Focus) – Master SQL concepts required for Azure Data Engineering interviews including complex queries, joins, subqueries, CTEs, window functions, ranking functions, aggregations, query optimization, indexing, stored procedures, performance tuning, and real-world SQL scenarios asked by top companies. ✅ Data Warehousing & Data Modelling - Master data warehouse concepts, dimensional modelling, fact and dimension tables, schemas, SCDs, and real-world interview scenarios. 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