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🥇 @malathi-shetty 11 solved
🥈 @arun-kumar 1 solved

Elasticsearch: cluster es

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Cassandra: keyspace

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DataViz: choose chart

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DynamoDB: schemaless

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Hadoop: namenode

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MySQL: update

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Neo4j: relationship syntax

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Left join

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DataEng: Columnar storage

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MongoDB: Query filter

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Redis: Hash type

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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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Spark: Lazy trigger

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DBMS: Unique row id

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Elasticsearch: Data unit

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Cassandra: Database type

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DataViz: Field name

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DynamoDB: Cloud provider

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Hadoop: Storage layer

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MySQL: Query language

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Neo4j: Query language

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Cross join

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DataEng: Partitioning

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MongoDB: $gt operator

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Redis: List type

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PostgreSQL: select

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Kafka: follower

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Pandas: loc

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Airflow: webserver

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Spark: action

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DBMS: 3nf

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Elasticsearch: inverted index

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Cassandra: cql

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DataViz: categorical viz

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DynamoDB: query

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Hadoop: datanode

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MySQL: delete mysql

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Neo4j: create neo4j

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Self join

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DataEng: Schema on read

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MongoDB: $in

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Redis: LPUSH RPUSH

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PostgreSQL: where

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Kafka: isr

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Pandas: iloc

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Airflow: metadata db

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Spark: lazy eval

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DBMS: denormalization

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Elasticsearch: inverted purpose

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Cassandra: table cassandra

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DataViz: time viz

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DynamoDB: scan

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Hadoop: namenode spof

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MySQL: where

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Neo4j: return

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Join key

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DataEng: Idempotent pipeline

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