Joseph Mathew

Trick to write code in Databricks with ease Learn it in 1 minute, watch the video Do share and follow Deepak Goyal #LIVideoIndia

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Most asked Azure Data Engineer Interview Questions 1.     How would you build a pipeline in Azure Data Factory to retrieve data from an on-premises database? 2.     What components would you need, and how would you set up the integration runtime? 3.     Can you explain the difference between Mapping Data Flows and Wrangling Data Flows in ADF? 4.     In what scenarios would you choose one over the other? 5.     How do you handle null values in activity output within an ADF pipeline? 6.     Can you provide an example of a scenario where you would need to handle null values? 7.     Can we use parameter values in ADF pipelines? How would you pass parameters between activities? 8.     How would you pass dynamic values like the date or file name as parameters? 9.     How can you connect SSIS (SQL Server Integration Services) to Azure Data Factory? 10.  What are the different ways to execute SSIS packages in ADF? 11.  What is a trigger in Azure Data Factory? Can you explain the different types of triggers available? 12.  What is an Integration Runtime (IR) in Azure Data Factory, and what are the types of IRs? 13.  How do you decide which IR to use in a specific scenario? 14.  Can you explain what Blob Storage is in Azure and how it’s different from other storage types? 15.  How would you use Blob Storage in an ADF pipeline? 16.  What is a Data Lake, and how does it differ from traditional databases and data warehouses? 17.  How would you integrate a Data Lake with Azure Data Factory? #azure #data #engineer #Interview #preparation #followme

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Learn Power BI in Nepali DAX - Filter Functions #PowerBI #powerbiinnepali #dipumaharjan

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[New Premium Video Alert] Deleting Duplicate Rows using Ranking Function in SQL Server Watch the full video on SQLMaestros https://bit.ly/sqlmaestros More Premium Videos: https://lnkd.in/gbf_uKDV Share. #SQLServer #SQL #TSQL #AzureSQL cc SQLMaestros

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A spoken tutorial on creating ETL Pipeline! . . Watch the full video on Youtube 👇 https://lnkd.in/dD55TZvH . . #DataEngineering #ETLPipeline #CloudComputing #Snowflake #ApacheAirflow #AWS #BigData #DataTransformation #Automation #DataPipelines #Python #CloudDataWarehouse #DataIntegration #DataScience #TechTutorials

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Learn Power BI in Nepali - Get data from folder and refresh power bi data #powerbiinnepali #PowerBI #dipumaharjan

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Discover the perfect balance of theoretical knowledge and practical application with our SQL Server course. Visit https://lnkd.in/g8ZEekz5 #SQLServer https://lnkd.in/g8ZEekz5

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𝐃𝐚𝐭𝐚 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬: ETL, Reverse ETL, and ELT 𝐄𝐓𝐋, 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐄𝐓𝐋, 𝐚𝐧𝐝 𝐄𝐋𝐓 are three different approaches to data integration. - 𝐄𝐓𝐋 stands for Extract, Transform, and Load. In ETL, data is extracted from different sources, transformed into a consistent format, and then loaded into a data warehouse. - 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐄𝐓𝐋 flips the ETL process around. Data is extracted from the data warehouse and loaded into operational systems, such as CRM or marketing automation systems. This allows businesses to use their data to improve their operations and customer experiences. - 𝐄𝐋𝐓 stands for Extract, Load, and Transform. In ELT, data is extracted from different sources and loaded directly into a data warehouse. The data is then transformed within the data warehouse. 𝐖𝐡𝐢𝐜𝐡 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐢𝐬 𝐫𝐢𝐠𝐡𝐭 𝐟𝐨𝐫 𝐲𝐨𝐮 ? - The best data integration strategy for your business will depend on your specific needs. If you have a lot of data from different sources, and you need to transform it into a consistent format before loading it into a data warehouse, then ETL may be the best approach for you. - If you need to get your data into your operational systems quickly and easily, then Reverse ETL may be the best approach for you. - If you have a lot of data, and you need to be able to scale your data integration process, then ELT may be the best approach for you.

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Hello, Here is a link to a video I created for moving data from Azure SQL database to Snowflake using Change data capture and ADF https://lnkd.in/gmfTzvzQ

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🦖 **How Postgres is Eating the Database World** 🌍 In the rapidly evolving landscape of data management, one database stands out as a true game-changer: **PostgreSQL**. Often referred to as "Postgres," this open-source relational database has steadily become the go-to choice for organizations of all sizes. But how did Postgres rise to dominate the database world? ### Here’s why Postgres is leading the pack: ### 1️⃣ Unmatched Flexibility Postgres isn’t just a relational database—it's a powerful multi-model system. It supports JSON, key-value pairs, geospatial data, and even full-text search, making it versatile enough to handle almost any data structure. Whether you're building traditional applications or modern, data-driven systems, Postgres has you covered. ### 2️⃣ Rock-Solid Stability and Reliability With decades of development behind it, Postgres has a well-earned reputation for stability and data integrity. Its ACID compliance ensures reliable transactions, and features like point-in-time recovery and logical replication make it a favorite for mission-critical applications. ### 3️⃣ Performance and Scalability Postgres is built to scale. With support for vertical and horizontal scaling, along with advanced indexing techniques and query optimization, it delivers performance that rivals commercial databases—without the hefty price tag. As your data needs grow, Postgres scales with you. ### 4️⃣ Thriving Ecosystem and Community Postgres boasts one of the most active and supportive open-source communities in the world. This has led to a rich ecosystem of extensions, tools, and integrations that extend Postgres's capabilities, from time-series data handling with TimescaleDB to full-scale data warehousing with Citus. ### 5️⃣ Cost-Effectiveness Why pay for expensive commercial databases when Postgres offers enterprise-grade features for free? Its open-source nature eliminates licensing costs while giving you complete control over your database infrastructure. ### 6️⃣ Adoption by the Biggest Names From cloud giants like AWS, Google Cloud, and Microsoft Azure, to industry leaders like Apple, Uber, and Netflix—Postgres is the backbone of some of the world’s most demanding data environments. The widespread adoption speaks volumes about its capabilities and trustworthiness. ### The Future of Postgres 🌟 As more companies seek flexible, cost-effective, and scalable solutions for their data needs, Postgres continues to shine. It's not just keeping pace with the database world—it's defining it. With ongoing innovation and a dedicated community, Postgres is poised to keep "eating the world" for years to come. 💡 **Key Takeaway:** If you haven’t explored what Postgres can do for your organization, now’s the time. Whether you’re starting a new project or migrating from a legacy system, Postgres offers the tools and flexibility to build the future. #PostgreSQL #Database #OpenSource #DataManagement #TechInnovation #Scalability #Postgres

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Data Partitioning can help in easy vertical scaling , Seemless data Archival , performance benefits and more. 🐘 How PostgreSQL handles Partitioning? 🐘 What are the different techniques? 🐘 What are the best practices? 🐘 Do they have limitations? Here is the slides from our PostgreSQL Partition webinar to answer them in simple manner. #postgreSQL #Mydbops #performance #dba #reliability

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In this video, I describe a super easy technique to Copy and Paste data from Excel into SQL Server using Management Studio. See all the details in our blog article: https://lnkd.in/dzdgRwF8

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Data Engineer+ snowflake Batch Enroll here 👉https://wa.me/918985140478 Batch Time: Monday 8.00Am Ist Connect if anyone intersted #DataFactory #DataBricks #DataLake #SynapseAnalytics #ApacheSpark #synapse #ITSkills #ade #Azure #RealTimeProjects #software #visualpath #learning #TechEducation #online #training #students #softwaredevelopment #handsonlearning #AzureData #azuredataengineer #dataengineer #dataengineering See less

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🚀 BigData Bytes: Object-storage needs in big data cloud 🚀 Object-storage architecture has three key properties for data storage: 1️⃣  It's great for storing unstructured data in the cloud. 2️⃣ It divides data into units called objects and stores them in a flat data environment. 3️⃣  Rather than using a file hierarchy, it organizes data into containers, each containing unique identifiers called "objects," & stores them in a flat architecture with no hierarchy, which makes it easier to scale. Each object includes the data, metadata, and a unique identifier that applications can use for easy access and retrieval. > AWS object storage:- Amazon Simple Storage Service (Amazon S3) > Azure object storage:- Azure BLOB storage (Binary Large Object) So in other words, the properties of an object are very similar to an actual employee 😊 Data:- Intrinsic Skillsets of the employee Unique ID:- Employee ID is the unique identifier of the employee Metadata:- Department details, designation, employee joining date etc Feel free to share your thoughts on big data storage needs in today's data world where big data storage acts as the prerequisite for AI/ ML / GenAI model development or data analytics needs. #bigdataenthusiast #objectstorage #bigdata #dataengineering #cloud

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Learn Power BI in Nepali DAX - Date Functions #PowerBI #powerbiinnepali #dipumaharjan

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[New Premium Video Alert] SQL Server Indexing Strategy Puzzle Solved Watch the full video on SQLMaestros https://bit.ly/sqlmaestros More Premium Videos: https://lnkd.in/gbf_uKDV Share. #SQLServer #SQL #TSQL #AzureSQL cc SQLMaestros

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