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🥇 @malathi-shetty 11 solved
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SELECT purpose

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DataEng: Data engineering

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MongoDB: What is MongoDB

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Redis: What is Redis

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PostgreSQL: What is PostgreSQL

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Kafka: what is kafka

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Pandas: what is pandas

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Airflow: what is airflow

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Spark: what is spark

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DBMS: what is dbms

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Elasticsearch: what is es

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Cassandra: what is cassandra

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DataViz: what is dataviz

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DynamoDB: what is dynamodb

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Hadoop: what is hadoop

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MySQL: what is mysql

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Neo4j: what is neo4j

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Filter rows

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DataEng: ETL

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MongoDB: Document

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Redis: In-memory

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Kafka: topic

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Pandas: dataframe

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Airflow: dag

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Sort results

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MongoDB: Collection

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Kafka: producer

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Pandas: series

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DBMS: table

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Distinct

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DataEng: Data pipeline

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Redis: Common use

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PostgreSQL: psql

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Kafka: consumer

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Pandas: read csv

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DBMS: row

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MySQL: table mysql

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Redis: Key-value

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PostgreSQL: create table

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Pandas: head

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Airflow: task

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Insert

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Pandas: shape

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Update

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Redis: SET GET

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PostgreSQL: primary key

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Delete

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MongoDB: find

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MongoDB: insertOne

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Wildcard

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Redis: DEL

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Pandas: select column

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Inner join

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MongoDB: Query filter

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PostgreSQL: Comment

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Kafka: Message container

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Pandas: Row count

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Airflow: Workflow structure

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DataViz: Field name

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DynamoDB: Cloud provider

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