Interviewer: Let's assume you're processing 10 TB of data in Databricks. How would you configure the cluster to optimize performance?Candidate: To process 10 TB of data efficiently, I would recommend a cluster configuration with a large number of nodes and sufficient memory.First, I would estimate the number of partitions required to process the data in... Continue Reading →
Hadoop vs. Spark
Comparison table between Hadoop and Spark: FeatureHadoopSparkCore ComponentsHDFS (Hadoop Distributed File System): A distributed storage system for storing large datasets.MapReduce: A computational model for parallel data processing, operating in a series of map and reduce steps.RDD (Resilient Distributed Datasets): A fault-tolerant collection of elements distributed across a cluster.Spark Core: The core processing engine that provides... Continue Reading →
Data Analytics Interviews: What to Expect and How to Prepare
If you’re searching for a data analytics job, what can you expect when it comes to interviews? What can you do to prepare? The first thing to know is that every company has a slightly different — or very different — process. But there are some commonalities you can expect. Rounds of Data Analytics Interviews... Continue Reading →
Exam DP-203: Data Engineering on Microsoft Azure Certification Study Blueprint
Theoretical Knowledge Azure documentation Data Lake Storage Gen 2 docs Storage account docs Azure Synapse docs Azure Data Factory docs Azure SQL Database docs Cosmos DB docs Azure Databricks docs Slowly changing dimensions Azure Synapse: Copy and Transform Data Azure Databricks: ETL with Scala Microsoft Learn SCD tutorial Raspberry Pi IoT Online Simulator Transact-SQL Language... Continue Reading →
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 →
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 →
100 Latest Azure Interview Questions
BASIC AZURE INTERVIEW QUESTIONS AND ANSWERS 1. What is Azure and how does it work? Azure is a cloud computing platform managed by Microsoft. It offers services and tools for building, deploying, and managing applications and services in the cloud. The Azure services can be accessed through the internet. These include virtual machines, databases, storage,... 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 👏 Here is... Continue Reading →
What is Surrogate keys and how can we handle during data warehouse migration?
What is surrogate key? Surrogate key is nothing but unique identifier assigned to each row in a dimension table. Isn’t simple? Yes. For one, this might raise few questions, because what about primary key, its also unique in nature and assigned to each row. Then, how it differs from primary key of a table, what... 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 storage📌 complete data pipeline diagram can be found here....https://lnkd.in/gdifVyHY📌 FREE guide to data pipeline in AWS, Azure cloud....https://lnkd.in/gtq_8rd9📌 learn more... Continue Reading →
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