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

Kafka: ordering

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Airflow: dependencies

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Spark: partition spark

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DBMS: normalization

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Elasticsearch: replica

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Cassandra: ring

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DataViz: heatmap

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DynamoDB: sort key

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Hadoop: replication

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MySQL: select

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Neo4j: match

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DataEng: OLTP vs OLAP

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PostgreSQL: jsonb

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Kafka: replication

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Airflow: scheduler

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Spark: task

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DBMS: 1nf

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Elasticsearch: node es

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Cassandra: partition key

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DataViz: area chart

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DynamoDB: composite key dynamo

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Hadoop: replication factor

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MySQL: insert

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Neo4j: node syntax

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PostgreSQL: array type

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Kafka: leader

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Airflow: executor

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Spark: transformation

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DBMS: 2nf

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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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DataEng: Columnar storage

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Redis: Hash type

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DBMS: Unique row id

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Elasticsearch: Data unit

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Hadoop: Storage layer

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Cross join

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DataEng: Partitioning

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Redis: List type

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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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