Data migration from DB2 to Azure Data Lake Storage

Below is an example PySpark script to load data from a DB2 table into an Azure Data Lake table. The script is optimized for handling high-volume data efficiently by leveraging Spark's distributed computing capabilities.Prerequisites:Spark Configuration: Ensure Spark is configured with the necessary dependencies:spark-sql-connector for Azure Data Lake Gen2. db2jcc driver for connecting to DB2.Azure Authentication:... Continue Reading →

AI Developer Scenario

In this scenario, you will be playing the role of a seasoned Al developer. You and the junior data scientist, named Bob, are examining an Al model you have developed for the company. Your goal is to mentor Bob about the importance of ethics in Al and the potential risks involved in implementing Al solutions.... Continue Reading →

Azure Data Engineer Journey Learning links

Start your Azure journey here.....1. Azure Data Factory.https://lnkd.in/gEmpbyrMProject: https://lnkd.in/gFG2aCgy2. Azure Data bricks.https://lnkd.in/gvFwKxaNproject: https://lnkd.in/gFG2aCgy3. Azure Stream Analytics.https://lnkd.in/g35VbSTv4. Azure Synapse Analytics.https://lnkd.in/gCufskNC5. Azure Data Lake Storage.https://lnkd.in/gcEKjWsc6. Azure SQL database.https://lnkd.in/gmHxqxQX7. Azure Postgres SQL database.https://lnkd.in/grHWJvWZ8. Azure MariaDB.https://lnkd.in/gYSp7MZi9. Azure Cosmos DB.https://lnkd.in/g6jPZA36This is an excellent guide to become azure data engineer. No need to become expert. but learn how to work with... Continue Reading →

List of All azure / data / devops /ML Interview Q& A

1. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—™๐—ฎ๐—ฐ๐˜๐—ผ๐—ฟ๐˜† ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dVzCmzcZ2. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฟ๐—ถ๐—ฐ๐—ธ๐˜€ ๐—ฆ๐—ฐ๐—ฒ๐—ป๐—ฎ๐—ฟ๐—ถ๐—ผ ๐—ฏ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dUCf8qf8๐Ÿฏ. ๐—ฅ๐—ฒ๐—ฎ๐—น๐˜๐—ถ๐—บ๐—ฒ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—™๐—ฎ๐—ฐ๐˜๐—ผ๐—ฟ๐˜† ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/ex_Vixh๐Ÿฐ.๐—Ÿ๐—ฎ๐˜๐—ฒ๐˜€๐˜ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐——๐—ฒ๐˜ƒ๐—ข๐—ฝ๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/g7PdATm๐Ÿฑ. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ๐˜† ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dtWYXTKN๐Ÿฒ. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—Ÿ๐—ฎ๐—ธ๐—ฒ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dgr-uGQB๐Ÿณ. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—ฝ๐—ฝ ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dP4Afqkb๐Ÿด. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dj_m2yeQ๐Ÿต. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ฐ ๐—”๐—ฝ๐—ฝ๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dDtnJe4v๐Ÿญ๐Ÿฌ. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค&๐—”https://lnkd.in/dRWp3HZX๐Ÿญ๐Ÿญ. ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—ฆ๐˜†๐—ป๐—ฎ๐—ฝ๐˜€๐—ฒ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„... Continue Reading →

Low Level System design articles

These articles will save you 50+ hours of hopping to resources and wasting time. 1) Scalability: https://lnkd.in/gq4hW9qx 2) Horizontal vs Vertical Scaling: https://lnkd.in/g8qcwRCy 3) Latency vs Throughput: https://lnkd.in/gDAx6QQd 4) Load Balancing: https://lnkd.in/gefSiXEJ 5) Caching: https://lnkd.in/gAp-9udf 6) ACID Transactions: https://lnkd.in/g-sjsMwX 7) SQL vs NoSQL: https://lnkd.in/gwCe58TU 8) Database Indexes: https://lnkd.in/gE_q5m_g 9) Database Sharding: https://lnkd.in/gFdNxDrU 10) Content Delivery... Continue Reading →

Airflow Questions & Answers

What is Apache Airflow? To understand Apache Airflow, it's essential to understand what data pipelines are. Data pipelines are a series of data processing tasks that must execute between the source and the target system to automate data movement and transformation.  For example, if we want to build a small traffic dashboard that tells us what... Continue Reading →

Netflix Data Engineering Summit

Netflix  recently hosted their Data Engineering Summit, bringing  engineers from different teams together to share many use cases and best practices.  Having the chance to watch all the series, It provides valuable insights on various topics, especially in designing and executing products and services at scale. A big shout-out to Netflix team ๐Ÿ‘ Here is... Continue Reading →

Data Engineering with Cloud Resources link

learn here about data pipeline for FREE.....data pipeline consists of several stages that work together to ensure that data is processed efficiently and accurately. it involves....1. data ingestion2. data transformation3. data analysis4. data visualisation5. data storage๐Ÿ“Œ complete data pipeline diagram can be found here....https://lnkd.in/gdifVyHY๐Ÿ“Œ FREE guide to data pipeline in AWS, Azure cloud....https://lnkd.in/gtq_8rd9๐Ÿ“Œ learn more... Continue Reading →

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