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🚀 Top 10 Private Companies Hiring Freshers in 2026! 💼 Looking for your first IT job? These companies are among the top recruiters for fresh graduates and entry-level professionals. 📌 This infographic includes: ✅ Top hiring companies ✅ Eligibility criteria ✅ Common job roles ✅ Expected salary range ✅ Official career pages Whether you're a B.Tech, BCA, BSc, MCA, M.Tech, B.Com, or any graduate, save this post and start applying today! 💡 Pro Tip: Don't wait until graduation. Build your skills in Python, SQL, Azure, AWS, GCP, Power BI, Databricks, Microsoft Fabric, ADF, Spark, and Git to stand out from the competition. 📥 Save this post for future reference. 📤 Share it with friends who are looking for jobs. ❤️ Follow @techin60sec for daily IT career tips, interview questions, resume guidance, and Data Engineering content. #FreshersJobs2026 #ITJobs #CampusPlacement #SoftwareEngineer #DataEngineer TCS Infosys Wipro Cognizant Capgemini Accenture HCLTech TechMahindra Deloitte Genpact CareerGrowth JobSearch TechJobs EngineeringJobs InterviewPreparation Python SQL Azure Databricks MicrosoftFabric CareerTips Techin60sec
🚀 Top 10 Private Companies Hiring Freshers in 2026! 💼 Looking for your first IT job? These companies are among the top recruiters for fresh graduates and entry-level professionals. 📌 This infographic includes: ✅ Top hiring companies ✅ Eligibility criteria ✅ Common job roles ✅ Expected salary range ✅ Official career pages Whether you're a B.Tech, BCA, BSc, MCA, M.Tech, B.Com, or any graduate, save this post and start applying today! 💡 Pro Tip: Don't wait until graduation. Build your skills in Python, SQL, Azure, AWS, GCP, Power BI, Databricks, Microsoft Fabric, ADF, Spark, and Git to stand out from the competition. 📥 Save this post for future reference. 📤 Share it with friends who are looking for jobs. ❤️ Follow @techin60sec for daily IT career tips, interview questions, resume guidance, and Data Engineering content. #FreshersJobs2026 #ITJobs #CampusPlacement #SoftwareEngineer #DataEngineer TCS Infosys Wipro Cognizant Capgemini Accenture HCLTech TechMahindra Deloitte Genpact CareerGrowth JobSearch TechJobs EngineeringJobs InterviewPreparation Python SQL Azure Databricks MicrosoftFabric CareerTips Techin60sec
Microsoft Fabric: Jeden system, wszystkie dane, zero chaosu. 💡
Microsoft Fabric: Jeden system, wszystkie dane, zero chaosu. 💡
Microsoft Fabric + Power BI = 🔥 I am working on Fabric and Power bi and I realise that Most Power BI projects don’t fail because of dashboards. They fail because the data architecture behind the dashboards is not designed properly. With Microsoft Fabric, the approach becomes much more unified. Instead of managing scattered tools for ingestion, transformation, storage, modeling, reporting, and deployment, Fabric brings everything closer through OneLake, Lakehouse, Data Warehouse, Data Engineering, Real-Time Analytics, and Power BI. A strong Fabric + Power BI architecture usually follows this flow: 1. Data Sources ERP, CRM, SQL databases, Excel files, APIs, SaaS apps, and on-prem systems. 2. Ingestion & Integration Data Factory Pipelines, Dataflows Gen2, and On-Premises Data Gateway. 3. Microsoft Fabric Layer Lakehouse, warehouse, real-time Analytics, Data Engineering, Data Science, and OneLake as the unified foundation. 4. Modeling & Governance Semantic models, DAX measures, row-level security, business logic, and controlled access. 5. Power BI Consumption Reports, dashboards, apps, and business users consuming trusted insights. But the most important part is not just building reports. It is building a proper deployment and governance process: 💠 Dev → Test → Prod 💠 Workspaces 💠 Deployment Pipelines 💠 Git / CI-CD 💠 Scheduled Refresh 💠 Security & Permissions 💠 Monitoring This is what makes analytics scalable, reliable, and production-ready. #dax #microsoftpowerbi #dataanalytics #datapipeline #chicmicro @chicmicro
Microsoft Fabric + Power BI = 🔥 I am working on Fabric and Power bi and I realise that Most Power BI projects don’t fail because of dashboards. They fail because the data architecture behind the dashboards is not designed properly. With Microsoft Fabric, the approach becomes much more unified. Instead of managing scattered tools for ingestion, transformation, storage, modeling, reporting, and deployment, Fabric brings everything closer through OneLake, Lakehouse, Data Warehouse, Data Engineering, Real-Time Analytics, and Power BI. A strong Fabric + Power BI architecture usually follows this flow: 1. Data Sources ERP, CRM, SQL databases, Excel files, APIs, SaaS apps, and on-prem systems. 2. Ingestion & Integration Data Factory Pipelines, Dataflows Gen2, and On-Premises Data Gateway. 3. Microsoft Fabric Layer Lakehouse, warehouse, real-time Analytics, Data Engineering, Data Science, and OneLake as the unified foundation. 4. Modeling & Governance Semantic models, DAX measures, row-level security, business logic, and controlled access. 5. Power BI Consumption Reports, dashboards, apps, and business users consuming trusted insights. But the most important part is not just building reports. It is building a proper deployment and governance process: 💠 Dev → Test → Prod 💠 Workspaces 💠 Deployment Pipelines 💠 Git / CI-CD 💠 Scheduled Refresh 💠 Security & Permissions 💠 Monitoring This is what makes analytics scalable, reliable, and production-ready. #dax #microsoftpowerbi #dataanalytics #datapipeline #chicmicro @chicmicro
Meet Your Data Analytics Trainer Mr. Mallick. With 15+ years of industry experience and Microsoft certifications, he brings real corporate knowledge into every classroom. Learn SQL, Power BI, Excel, and Microsoft Fabric through real-world projects and industry best practices. 📞 72056 17787 | Enrol today and start your journey with an industry expert.
Meet Your Data Analytics Trainer Mr. Mallick. With 15+ years of industry experience and Microsoft certifications, he brings real corporate knowledge into every classroom. Learn SQL, Power BI, Excel, and Microsoft Fabric through real-world projects and industry best practices. 📞 72056 17787 | Enrol today and start your journey with an industry expert.
🚀 Azure Data Engineer Demo – Instagram Organic SEO Content Want to build a career in Azure Data Engineering? ☁️💻 Join the Azure Data Engineer Demo Session at Fugen Academy and explore the tools and technologies used in real-world data engineering projects 🕓 Today | 4:00 PM – 5:00 PM 👨‍🏫 Trainer: Sai Praveen 📚 10+ Years of Data Engineering Experience 🔥 Technologies Covered ✅ SQL ✅ Python ✅ PySpark ✅ Azure Data Factory (ADF) ✅ Azure Data Factory ✅ Azure Synapse ✅ Databricks ✅ Microsoft Fabric 🎯 Why Join the Demo? ✔ Live industry-focused demo ✔ Hands-on learning approach ✔ Real-time project concepts ✔ Career guidance for Data Engineers ✔ Learn modern Azure Data Engineering tools 📞 Call / WhatsApp: 9666677968 Start your journey from learning to becoming a job-ready Azure Data Engineer! #AzureDataEngineer #AzureDataEngineerTraining #AzureDataEngineerTrainingInHyderabad #AzureDataEngineerCourse #AzureTraining
🚀 Azure Data Engineer Demo – Instagram Organic SEO Content Want to build a career in Azure Data Engineering? ☁️💻 Join the Azure Data Engineer Demo Session at Fugen Academy and explore the tools and technologies used in real-world data engineering projects 🕓 Today | 4:00 PM – 5:00 PM 👨‍🏫 Trainer: Sai Praveen 📚 10+ Years of Data Engineering Experience 🔥 Technologies Covered ✅ SQL ✅ Python ✅ PySpark ✅ Azure Data Factory (ADF) ✅ Azure Data Factory ✅ Azure Synapse ✅ Databricks ✅ Microsoft Fabric 🎯 Why Join the Demo? ✔ Live industry-focused demo ✔ Hands-on learning approach ✔ Real-time project concepts ✔ Career guidance for Data Engineers ✔ Learn modern Azure Data Engineering tools 📞 Call / WhatsApp: 9666677968 Start your journey from learning to becoming a job-ready Azure Data Engineer! #AzureDataEngineer #AzureDataEngineerTraining #AzureDataEngineerTrainingInHyderabad #AzureDataEngineerCourse #AzureTraining
Why OneLake Is So Important in Microsoft Fabric.. Why OneLake Is the Most Important Part of Microsoft Fabric Most companies still copy the same data multiple times: ➡ Raw Data → Lakehouse ➡ Lakehouse → Warehouse ➡ Warehouse → Power BI And every copy refreshes at a different time. That’s why: ❌ Reports don’t match ❌ Teams argue over numbers ❌ Businesses lose trust in analytics Microsoft Fabric solves this using OneLake — a single unified data foundation for your entire analytics platform. ✅ One copy of data ✅ No unnecessary duplication ✅ No refresh mismatch ✅ Same numbers for everyone This is the real importance of OneLake: 👉 Creating a true Single Source of Truth. If you’re learning Microsoft Fabric, Power BI, or Data Engineering — understanding OneLake is essential. Follow for more Power BI & Microsoft Fabric content 🔥 #MicrosoftFabric #OneLake #PowerBI #DataAnalytics #BusinessIntelligence DataEngineering Lakehouse DataWarehouse Fabric Analytics PowerPlatform Microsoft BI DataArchitecture Shorts
Why OneLake Is So Important in Microsoft Fabric.. Why OneLake Is the Most Important Part of Microsoft Fabric Most companies still copy the same data multiple times: ➡ Raw Data → Lakehouse ➡ Lakehouse → Warehouse ➡ Warehouse → Power BI And every copy refreshes at a different time. That’s why: ❌ Reports don’t match ❌ Teams argue over numbers ❌ Businesses lose trust in analytics Microsoft Fabric solves this using OneLake — a single unified data foundation for your entire analytics platform. ✅ One copy of data ✅ No unnecessary duplication ✅ No refresh mismatch ✅ Same numbers for everyone This is the real importance of OneLake: 👉 Creating a true Single Source of Truth. If you’re learning Microsoft Fabric, Power BI, or Data Engineering — understanding OneLake is essential. Follow for more Power BI & Microsoft Fabric content 🔥 #MicrosoftFabric #OneLake #PowerBI #DataAnalytics #BusinessIntelligence DataEngineering Lakehouse DataWarehouse Fabric Analytics PowerPlatform Microsoft BI DataArchitecture Shorts
Vibe coding made it easy to spin up an entire app in an afternoon. But it did NOT make it easy to safely run that app inside a real company. This is what I dug into with Shireesh Thota, the corporate VP of Azure Databases at @microsoft , about their new open-source SDK called Rayfin. AI can generate a frontend in seconds… but the backend (the databases, auth, access policies, governance, and compliance) is the hard part. Rayfin lets developers and coding agents define that entire backend in code and deploy it straight onto Microsoft Fabric, so the app inherits enterprise security and governance from day one. But what every data person needs to hear is what he said about letting AI agents touch your database. His take was that an agent is basically a user except more powerful because it can take its own actions in a loop. So you secure it the way you’d secure a risky new hire: ↳ Give the agent its own identity. No shared credentials and label it so you always know when it’s the one acting vs. a real human. ↳ Start with the least privilege possible. If an agent just needs to build a report, it gets READ access, not write. You escalate carefully, and only when it actually needs more. ↳ Audit everything it does. Keep checking that it’s staying in its lane and not asking for any data it shouldn’t be, because the whole point is catching it BEFORE it steps out of bounds and correct it. The theme I keep seeing across these AI tools is that the model is not the bottleneck and hard part... The data, security, and governance is. @microsoftdeveloper
Vibe coding made it easy to spin up an entire app in an afternoon. But it did NOT make it easy to safely run that app inside a real company. This is what I dug into with Shireesh Thota, the corporate VP of Azure Databases at @microsoft , about their new open-source SDK called Rayfin. AI can generate a frontend in seconds… but the backend (the databases, auth, access policies, governance, and compliance) is the hard part. Rayfin lets developers and coding agents define that entire backend in code and deploy it straight onto Microsoft Fabric, so the app inherits enterprise security and governance from day one. But what every data person needs to hear is what he said about letting AI agents touch your database. His take was that an agent is basically a user except more powerful because it can take its own actions in a loop. So you secure it the way you’d secure a risky new hire: ↳ Give the agent its own identity. No shared credentials and label it so you always know when it’s the one acting vs. a real human. ↳ Start with the least privilege possible. If an agent just needs to build a report, it gets READ access, not write. You escalate carefully, and only when it actually needs more. ↳ Audit everything it does. Keep checking that it’s staying in its lane and not asking for any data it shouldn’t be, because the whole point is catching it BEFORE it steps out of bounds and correct it. The theme I keep seeing across these AI tools is that the model is not the bottleneck and hard part... The data, security, and governance is. @microsoftdeveloper
Fabric Data Days 2026 is here! Explore the future of Microsoft Fabric, AI, Data Engineering, Power BI, Cloud Computing, and Analytics. Learn from industry experts, discover real-world use cases, and enhance your data skills. 💬 Comment “MICROSOFT” to get the registration link in your DM. 📌 Follow @utkarshcareer.ai for the latest jobs, internships, tech events, certifications, AI tools, and career opportunities. SEO: Microsoft Fabric Data Days 2026, Microsoft Fabric Event, Data Engineering, Data Analytics, Power BI, AI, Machine Learning, Cloud Computing, Azure, Microsoft Certification, Tech Events 2026, Analytics, Big Data, Data Science Careers, Free Tech Events. #FabricDataDays2026 #MicrosoftFabric #DataEngineering #PowerBI #ArtificialIntelligence
Fabric Data Days 2026 is here! Explore the future of Microsoft Fabric, AI, Data Engineering, Power BI, Cloud Computing, and Analytics. Learn from industry experts, discover real-world use cases, and enhance your data skills. 💬 Comment “MICROSOFT” to get the registration link in your DM. 📌 Follow @utkarshcareer.ai for the latest jobs, internships, tech events, certifications, AI tools, and career opportunities. SEO: Microsoft Fabric Data Days 2026, Microsoft Fabric Event, Data Engineering, Data Analytics, Power BI, AI, Machine Learning, Cloud Computing, Azure, Microsoft Certification, Tech Events 2026, Analytics, Big Data, Data Science Careers, Free Tech Events. #FabricDataDays2026 #MicrosoftFabric #DataEngineering #PowerBI #ArtificialIntelligence
Data Engineering. Warehousing. Power BI. Real-Time Analytics. AI. What if one platform handled all of it? That’s Microsoft Fabric. No more switching tools. No more managing separate platforms. Just one unified data ecosystem. Here’s what makes it powerful: OneLake as your single data foundation Built-in Data Engineering and Warehousing Real-Time Analytics out of the box Power BI natively integrated If you’re an Azure Data Engineer, this is the platform you need to know in 2026. Comment “FABRIC” and I’ll send you one of the most asked Microsoft Fabric interview questions. Save this if you’re planning to learn Fabric this year. Follow @shivexplores_data for Azure, Databricks, Fabric, and Data Engineering content. . . #dataengineering #instadaily #instagramer #fabric #ınstagood
Data Engineering. Warehousing. Power BI. Real-Time Analytics. AI. What if one platform handled all of it? That’s Microsoft Fabric. No more switching tools. No more managing separate platforms. Just one unified data ecosystem. Here’s what makes it powerful: OneLake as your single data foundation Built-in Data Engineering and Warehousing Real-Time Analytics out of the box Power BI natively integrated If you’re an Azure Data Engineer, this is the platform you need to know in 2026. Comment “FABRIC” and I’ll send you one of the most asked Microsoft Fabric interview questions. Save this if you’re planning to learn Fabric this year. Follow @shivexplores_data for Azure, Databricks, Fabric, and Data Engineering content. . . #dataengineering #instadaily #instagramer #fabric #ınstagood
🔴ÚLTIMO DÍA DE INSCRIPCIÓN🔴 📚 Especialización en Ingeniería de Datos con Microsoft Fabric 👨‍🏫 Conviértete en un profesional capaz de implementar soluciones completas de análisis unificado con la tecnología más avanzada de Microsoft. 🖥️ Durante 40 horas académicas, dominarás arquitecturas Lakehouse, orquestación con pipelines, ingestión de datos en streaming, notebooks en PySpark, y gobierno de datos con CI/CD y políticas seguras. ✅ En esta especialización: . ¡Profundizarás en las experiencias de Fabric: Data Factory, Synapse, Power BI, Eventstream, Lakehouse, y más! . Desarrollarás laboratorios prácticos en cada módulo. . Trabajarás un proyecto integrador end-to-end Te prepararás para las certificaciones: 🏅 Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) 🏅 Microsoft Certified: Fabric Data Engineer Associate (DP-700) 👨‍💻 Junto con Applied Skills oficiales de Microsoft (DP-601 y DP-602), que evalúan tus capacidades en escenarios prácticos reales. 📆INICIO: 22 DE JULIO 🚨 1 VACANTES DISPONIBLES 🚨 🕒 Horario: Lunes y miércoles, 7 p. m. a 10 p. m. (hora Perú/México) 🎓 Modalidad: Clases en vivo + grabaciones disponibles ✅ ¡Ponte en contacto! https://bit.ly/3I1k3gp 👨‍🏫🦾 ¡Somos Smart Data, la mejor opción para aprender Data, Cloud, Analytics e IA!
🔴ÚLTIMO DÍA DE INSCRIPCIÓN🔴 📚 Especialización en Ingeniería de Datos con Microsoft Fabric 👨‍🏫 Conviértete en un profesional capaz de implementar soluciones completas de análisis unificado con la tecnología más avanzada de Microsoft. 🖥️ Durante 40 horas académicas, dominarás arquitecturas Lakehouse, orquestación con pipelines, ingestión de datos en streaming, notebooks en PySpark, y gobierno de datos con CI/CD y políticas seguras. ✅ En esta especialización: . ¡Profundizarás en las experiencias de Fabric: Data Factory, Synapse, Power BI, Eventstream, Lakehouse, y más! . Desarrollarás laboratorios prácticos en cada módulo. . Trabajarás un proyecto integrador end-to-end Te prepararás para las certificaciones: 🏅 Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) 🏅 Microsoft Certified: Fabric Data Engineer Associate (DP-700) 👨‍💻 Junto con Applied Skills oficiales de Microsoft (DP-601 y DP-602), que evalúan tus capacidades en escenarios prácticos reales. 📆INICIO: 22 DE JULIO 🚨 1 VACANTES DISPONIBLES 🚨 🕒 Horario: Lunes y miércoles, 7 p. m. a 10 p. m. (hora Perú/México) 🎓 Modalidad: Clases en vivo + grabaciones disponibles ✅ ¡Ponte en contacto! https://bit.ly/3I1k3gp 👨‍🏫🦾 ¡Somos Smart Data, la mejor opción para aprender Data, Cloud, Analytics e IA!
Learn Data Analytics for FREE! 📊💻 You don’t need to spend thousands to start learning Data Analytics. YouTube has some amazing creators sharing valuable content for FREE! 👇 🎯 Alex The Analyst – Complete Data Analyst roadmap, SQL, Excel, Power BI & projects 📊 Guy in a Cube – Power BI, DAX & Microsoft Fabric 📈 Leila Gharani – Excel, Power BI & productivity tools 💡 Chandoo – Excel, Power BI, data analysis & dashboards 🐍 Luke Barousse – SQL, Python, Power BI & career guidance Save this post and start learning today! 🔖 And remember: watching tutorials is not enough. Practise, build projects, create a portfolio and start applying for jobs. 🚀 Do you want to Transition into Data Analytics in 2026/2027? Excited to be facilitating another Data Analytics Training with TechDrive! 🚀 📅 Starting: 10th October 2026 
📊 Learn Power BI, SQL, Advance Excel & SSIS. Register now 👉 https://mailchi.mp/da53cfd2a290/techdrive-signup 🔥 Gain real-world analytics skills & boost your career! Don’t miss out—register now! website: https://techdriveuk.com Email: techdrive06@gmail.com WhatsApp: +4477-8560-6102 #data #techhouse #blowthisupforme #viral #fyp
Learn Data Analytics for FREE! 📊💻 You don’t need to spend thousands to start learning Data Analytics. YouTube has some amazing creators sharing valuable content for FREE! 👇 🎯 Alex The Analyst – Complete Data Analyst roadmap, SQL, Excel, Power BI & projects 📊 Guy in a Cube – Power BI, DAX & Microsoft Fabric 📈 Leila Gharani – Excel, Power BI & productivity tools 💡 Chandoo – Excel, Power BI, data analysis & dashboards 🐍 Luke Barousse – SQL, Python, Power BI & career guidance Save this post and start learning today! 🔖 And remember: watching tutorials is not enough. Practise, build projects, create a portfolio and start applying for jobs. 🚀 Do you want to Transition into Data Analytics in 2026/2027? Excited to be facilitating another Data Analytics Training with TechDrive! 🚀 📅 Starting: 10th October 2026 
📊 Learn Power BI, SQL, Advance Excel & SSIS. Register now 👉 https://mailchi.mp/da53cfd2a290/techdrive-signup 🔥 Gain real-world analytics skills & boost your career! Don’t miss out—register now! website: https://techdriveuk.com Email: [email protected] WhatsApp: +4477-8560-6102 #data #techhouse #blowthisupforme #viral #fyp
Comment “project” to get 20+ DE project🔗 1. Real-Time Loan Fraud Detection Pipeline on Microsoft Fabric 2. End-to-End Crypto Data Engineering Project with Google Cloud & BigQuery 3. End-to-End Azure Data Pipeline – Data FaAzurDatabricksabricksynapse 4. End-to-End Data Engineering Project: Food Order ETL Pipeline using MySQL & Power BI 5. End-to-End Data Pipeline Project on AzurDatabricksabricks and Delta Lake 6. Spotify Data Pipeline with AWS Glue, Snowflake & Power BI 7. Real-Time Stock Data Engineering Project – Kafka, Spark Streaming & Airflow 8. RideStream: Real-Time Ride Analytics Lakehouse Platform 9. Real-Time Air Quality Index (AQI) Tracking & Analytics Platform 10. End-to-End Data Engineering Project – AWS Glue & Airflow Orchestration 11. End-to-End Data Engineering Project – AWS Airflow ETL Pipeline 12. End-to-End Data Engineering Project – Spotify API with AWS Glue & Snowflake 13. Real-Time Data Pipeline with Apache NiFi, AWS & Snowflake 14. Spotify Data Pipeline Project with AWS, Snowflake & Power BI 15. Spotify Data Engineering Project on AWS – ETL Pipeline with S3, Glue & Athena 16. 🚖 Uber Data Analytics | End-To-End Data Engineering Project 17. Olympic Data Analytics | Azure End-To-End Data Engineering Project 18. 📈 Stock Market Real-Time Data Analysis Using Kafka | End-To-End Data Engineering 19. YouTube Data Analysis | END TO END DATA ENGINEERING PROJECT 20. IPL Data Analysis | Apache Spark End-To-End Data Engineering project #dataengineer #dataengineering #project
Comment “project” to get 20+ DE project🔗 1. Real-Time Loan Fraud Detection Pipeline on Microsoft Fabric 2. End-to-End Crypto Data Engineering Project with Google Cloud & BigQuery 3. End-to-End Azure Data Pipeline – Data FaAzurDatabricksabricksynapse 4. End-to-End Data Engineering Project: Food Order ETL Pipeline using MySQL & Power BI 5. End-to-End Data Pipeline Project on AzurDatabricksabricks and Delta Lake 6. Spotify Data Pipeline with AWS Glue, Snowflake & Power BI 7. Real-Time Stock Data Engineering Project – Kafka, Spark Streaming & Airflow 8. RideStream: Real-Time Ride Analytics Lakehouse Platform 9. Real-Time Air Quality Index (AQI) Tracking & Analytics Platform 10. End-to-End Data Engineering Project – AWS Glue & Airflow Orchestration 11. End-to-End Data Engineering Project – AWS Airflow ETL Pipeline 12. End-to-End Data Engineering Project – Spotify API with AWS Glue & Snowflake 13. Real-Time Data Pipeline with Apache NiFi, AWS & Snowflake 14. Spotify Data Pipeline Project with AWS, Snowflake & Power BI 15. Spotify Data Engineering Project on AWS – ETL Pipeline with S3, Glue & Athena 16. 🚖 Uber Data Analytics | End-To-End Data Engineering Project 17. Olympic Data Analytics | Azure End-To-End Data Engineering Project 18. 📈 Stock Market Real-Time Data Analysis Using Kafka | End-To-End Data Engineering 19. YouTube Data Analysis | END TO END DATA ENGINEERING PROJECT 20. IPL Data Analysis | Apache Spark End-To-End Data Engineering project #dataengineer #dataengineering #project
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