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

MySQL: replication mysql

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Neo4j: community detection

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Count rows

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DataEng: PII handling

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MongoDB: sharding

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Redis: KEYS command

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PostgreSQL: trigger

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Kafka: rebalance impact

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Pandas: dt accessor

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Airflow: idempotent tasks

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Spark: accumulator

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DBMS: referential integrity

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Elasticsearch: master node

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Cassandra: upsert cassandra

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DataViz: dual axis

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DynamoDB: multi region

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Hadoop: speculative execution

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MySQL: master replica

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Neo4j: property graph

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Max value

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DataEng: warehouse examples

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MongoDB: shard key

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Redis: SCAN

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PostgreSQL: stored procedure

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Kafka: sticky assignment

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Pandas: str accessor

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Airflow: celery executor

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Spark: broadcast var

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DBMS: cascade

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Elasticsearch: data node

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Cassandra: immutable sstable

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DataViz: storytelling

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DynamoDB: backup dynamo

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Hadoop: combiner

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MySQL: sharding mysql

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Neo4j: cypher declarative

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Average value

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DataEng: object storage

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MongoDB: mongos

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Redis: GETSET

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PostgreSQL: replication

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Kafka: min insync

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Pandas: contains

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Airflow: kubernetes executor

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Spark: delta lake

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DBMS: sql ddl

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Elasticsearch: coordinating node

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Cassandra: coordinator

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DataViz: audience

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DynamoDB: pitr

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Hadoop: partitioner

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MySQL: backup mysqldump

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Neo4j: ascii art

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Filter greater than

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DataEng: file formats

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MongoDB: config server

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Redis: MSET

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PostgreSQL: wal

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Kafka: replication factor

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Pandas: nan type

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