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🏆 Top solvers in Data

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

DynamoDB: single table

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Hadoop: sqoop

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MySQL: varchar

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Neo4j: shortest path

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Union

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DataEng: DAG

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MongoDB: aggregation

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Redis: pipelining

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PostgreSQL: transaction

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Kafka: at most once

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Pandas: melt

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Airflow: branchoperator

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Spark: udf

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DBMS: deadlock db

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Elasticsearch: search api

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Cassandra: sstable

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DataViz: powerbi

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DynamoDB: access pattern

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Hadoop: flume

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MySQL: int type

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Neo4j: with clause

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Union all

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DataEng: Airflow task

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MongoDB: $match

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Redis: transaction MULTI

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PostgreSQL: commit rollback

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Kafka: kafka connect

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Pandas: index

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Airflow: depends on past

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Spark: udf cost

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DBMS: mvcc

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Elasticsearch: bulk api

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Cassandra: compaction cassandra

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DataViz: matplotlib

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DynamoDB: no joins dynamo

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Hadoop: oozie

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MySQL: datetime

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Neo4j: order by neo4j

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Case expression

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DataEng: dbt

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MongoDB: $group

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Redis: WATCH

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PostgreSQL: isolation levels

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Kafka: source connector

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Pandas: reset_index

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Airflow: pool

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Spark: structured streaming

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DBMS: join

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Elasticsearch: refresh

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Cassandra: tombstone cassandra

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DataViz: d3

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DynamoDB: denormalize dynamo

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Hadoop: zookeeper hadoop

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MySQL: null mysql

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Neo4j: limit neo4j

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Coalesce

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DataEng: star schema

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MongoDB: $project

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Redis: Lua script

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PostgreSQL: serializable

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