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- what APIs are, why they exist, and how we use them in Python?
- Python Strings- complete notes + interview Q&A
- Memory Management in PySpark- CPU Cores, executors, executor memory
- Memory Management in PySpark- Scenario 1, 2
- Develop and maintain CI/CD pipelines using GitHub for automated deployment, version control
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Category: Tutorials
✅ What is a DataFrame in PySpark? A DataFrame in PySpark is a distributed collection of data organized into named columns, similar to a table in a relational database or a Pandas DataFrame. It is built on top of RDDs and provides: 📊 DataFrame = RDD + Schema Under the hood: So while RDD is…
Big Data Lake: Data Storage HDFS is a scalable storage solution designed to handle massive datasets across clusters of machines. Hive tables provide a structured approach for querying and analyzing data stored in HDFS. Understanding how these components work together is essential for effectively managing data in your BDL ecosystem. HDFS – Hadoop Distributed File…
Ordered Guide to Big Data, Data Lakes, Data Warehouses & Lakehouses 1 The Modern Data Landscape — Bird’s‑Eye View Every storage paradigm slots into this flow at the Storage layer, but each optimises different trade‑offs for the rest of the pipeline. 2 Foundations: What Is Big Data? 5 Vs Meaning Volume Petabytes+ generated continuously Velocity Milliseconds‑level arrival & processing Variety Structured, semi‑structured, unstructured Veracity Data quality…