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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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How to Extract DATE and TIME from TIMESTAMP: DB2
The easy ways to extract DATE and TIME in DB2. Use these examples in your project at once. Also, these examples are for you to do DATE and TIME calculations. Read More ⇢
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