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Sumit Chaurasia
Data Engineering & Architecture | Supply Chain Integration | o9 | NITW 2020
Sumit Chaurasia is a Senior Technical Consultant at o9 Solutions, Inc., where he leverages his expertise in technology to drive solutions for clients. He has a background in data engineering and development, with experience in Microsoft Business Intelligence (MS-BI) and Apache Spark.
Chaurasia studied at the National Institute of Technology Warangal, which has equipped him with a solid foundation in technical skills. Prior to his current role, he has held positions at various companies, including Razorpod and LinuxWorld Informatics, contributing to his diverse experience in the tech industry.123
His professional profile highlights a results-oriented approach, focusing on solving complex problems effectively.
Highlights
Ever thought of querying or analyzing the data in your file without the hassle of loading it into a database? Serverless is your solution. Whether you’re working in #Azure or #AWS, you can leverage serverless solutions to query data directly from files stored in cloud storage like Data Lake or S3.
📌 For Azure: 👉 #AzureSynapse Analytics Serverless SQL Pool allows you to run SQL queries directly on data files in Azure Data Lake Storage (ADLS). No database needed—just pure, instant access to your data. 👉 #AzureDataLake Analytics lets you use U-SQL, combining the power of SQL and C#, to process and analyze data in ADLS.
📌 For AWS: 👉 #AmazonAthena provides a fully serverless SQL experience, enabling you to query data stored in S3 without moving it into a database. It’s as simple as defining your schema and running queries! 👉 #AWSGlue DataBrew offers a no-code, visual interface to prepare and analyze your data directly from S3, empowering you to transform data on the fly.
Whether you're building robust analytics solutions or optimizing your data workflows, these tools provide the flexibility and power to elevate your data strategy. #DataEngineering #CloudComputing #Azure #AWS #Serverless
My recent experience with Unity Catalog in Databricks got me excited and thinking - What's Next! It offers powerful and centralized data governance, making data and AI management seamless across all Databricks workspaces minimising efforts in writing codes for deep integration mechanisms.
🔍 Exciting Features:
• Unified Data Governance: Manage and secure data across workspaces. • Data & AI Discovery: Easily find and access data and AI assets with a comprehensive catalog. • Robust Security: Fine-grained access controls and comprehensive auditing. • Cost Efficiency: Reduces the need for multiple tools, lowering total costs.
🔑 Key Components:
• Centralized Metadata Management: Unified metadata for all data assets. We all know how painful is it when a metadata changes in dataset but not anymore. • Audit Logs: Detailed auditing for compliance and security. • Access Control: Granular permissions for data and AI assets.
Unity Catalog empowers businesses to streamline data and AI operations, ensuring efficient, secure, and cost-effective management.
#DataEngineering #Databricks #UnityCatalog #DataGovernance #BigData
