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  • Stop Manually Checking Databricks Jobs — Export Logs to PostgreSQL Instead

    Oct 4, 2025

    ·

    databricks
    Stop Manually Checking Databricks Jobs — Export Logs to PostgreSQL Instead
  • 13 Python PySpark Interview Questions: TCS and EXL

    Interview questions on SQL, Python, and PySpark covering index types, tuple advantages, and query examples. Read More ⇢

    13 Python PySpark Interview Questions: TCS and EXL
  • EXL Interview Questions: Python and SQL

    Here are EXL’s interview questions on Python and SQL, including SQL JOINs and Python list manipulation methods. Read More ⇢

    EXL Interview Questions: Python and SQL
  • Top PySpark Interview Questions to Ace Your Data Engineering Role

    This post covers PySpark interview questions, a PySpark Data Engineer’s role, technical skills, and leadership interview questions. Read More ⇢

    Top PySpark Interview Questions to Ace Your Data Engineering Role
  • How to Read Text Files in Pandas: 4 Approaches

    Pandas offers options to read text files, like read_csv and fwf, along with read_table and read_excel methods. Read More ⇢

    How to Read Text Files in Pandas: 4 Approaches
  • How to Create and Monitor Pipelines: Azure Databricks

    Databricks offers pipeline monitoring tools, including Jobs, Runs, Metrics, and Dashboards, for tracking and optimizing pipeline performance. Read More ⇢

    How to Create and Monitor Pipelines: Azure Databricks
  • Oracle – Count(1) Vs. Count(*) Top Difference

    The COUNT(1) and COUNT(*) functions in Oracle differ in row counting behavior, with no significant performance contrast. Read More ⇢

    Oracle – Count(1) Vs. Count(*) Top Difference
  • Efficient SQL Row Insertion Techniques

    This post outlines two efficient ways to add rows to a table in SQL: direct insertion and insertion with a SELECT statement. Read More ⇢

    Efficient SQL Row Insertion Techniques
  • DB2 SQL — RANK Vs DENSE_RANK: Top Differences

    DB2 SQL offers powerful RANK and DENSE_RANK window functions for ranking operations, differing in their handling of ties. Read More ⇢

    DB2 SQL — RANK Vs DENSE_RANK: Top Differences
  • How to Recover Deleted Rows in Oracle — Simplified

    In our workshop, a team member accidentally deleted table rows, but we used Oracle flashback query to recover. Read More ⇢

    How to Recover Deleted Rows in Oracle — Simplified
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