Watermarking vs. Change Data Capture (CDC) in Data Engineering
Introduction
In modern data engineering, organizations continuously generate and update large amounts of data. Processing the entire dataset every time a pipeline runs is inefficient, time-consuming, and expensive.
To solve this problem, data engineers use
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pyspark
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Data Engineer interviews are rarely about knowing every too
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pyspark
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Data Engineering is bigger than just one tool
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pyspark
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Data Engineering or Databricks interview
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Vishal Taneja
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𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
Databricks interviews aren’t just about Spark anymore. 👀
You should be comfortable explaining:
1️⃣ Workflows & Jobs 2️⃣ Auto Loader 3️⃣ Delta Live Tables 4️⃣ Databricks Clusters
