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Pivot & unpivot in Spark SQL – How to translate SAS Proc Transpose to Spark SQL
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Oracle Query Execution phases- How query flows?
SQL query flows through the Oracle engine in the following steps: Step 1: Parsing Step 2: Optimization Step 3: Row Source Generation Step 4: Execution…
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Pyspark -Introduction, Components, Compared With Hadoop, PySpark Architecture- (Driver- Executor)
PySpark is a powerful Python API for Apache Spark, a distributed computing framework that enables large-scale data processing. Spark History Spark was initially started by…
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Deploying a PySpark job- Explain Various Methods and Processes Involved
Deploying a PySpark job can be done in various ways depending on your infrastructure, use case, and scheduling needs. Below are the different deployment methods…
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What is Hive?
Hive a Data warehouse infra Hive is an open-source data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis. It…
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Pyspark- DAG Schedular, Jobs , Stages and Tasks explained
In PySpark, jobs, stages, and tasks are fundamental concepts that define how Spark executes distributed data processing tasks across a cluster. Understanding these concepts will…
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