👇25 blogs to guide you through every important concept 👇1. Data Lake vs Data Warehouse→ https://lnkd.in/gEpmTyMS2. Delta Lake Architecture→ https://lnkd.in/gk5x5uqR3. Medallion Architecture→ https://lnkd.in/gmyMpVpT4. ETL vs ELT→ https://lnkd.in/gvg3hgqe5. Apache Airflow Basics→ https://lnkd.in/gGwkvCXd6. DAG Design Patterns→ https://lnkd.in/gHTKQWyR7. dbt Core Explained→ https://lnkd.in/g5mQi8-y8. Incremental Models in dbt→ https://lnkd.in/gS25HCez9. Spark Transformations vs Actions→ https://lnkd.in/g2RRCGMW10. Partitioning in Spark→ https://lnkd.in/g5fXjSJD11. Window Functions... 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 →
Pyspark Syntax Cheat Sheet
Quickstart Install on macOS: brew install apache-spark && pip install pyspark Create your first DataFrame: from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate() # I/O options: https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/io.html df = spark.read.csv('/path/to/your/input/file') Basics # Show a preview df.show() # Show preview of first / last n rows df.head(5) df.tail(5) # Show preview as JSON (WARNING: in-memory) df =... Continue Reading →
Python Programming Interview Questions for Entry-Level Data Analysts 🐍
Are you ready to take your Python skills to the next level? Delve into these essential interview questions designed specifically for entry-level data analysts. Sharpen your Python skills with these fundamental interview questions:Here are detailed answers to your Python questions, with examples: 1. What is Python, and why is it popular in data analysis? Python... 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 →
30 PySpark Scenario-Based Interview Questions for Experienced
PySpark is a powerful framework for distributed data processing and analysis. If you're an experienced PySpark developer preparing for a job interview, it's essential to be ready for scenario-based questions that test your practical knowledge. In this article, we present 30 scenario-based interview questions along with their solutions to help you confidently tackle your next... Continue Reading →
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