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🏆 Top solvers in Data

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

MongoDB: single field index

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Redis: TTL caching

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Pandas: value_counts

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DataEng: Kafka

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Pandas: sort_values

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Rollback

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Subquery

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View

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DataEng: Airflow

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Union

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PostgreSQL: transaction

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PostgreSQL: commit rollback

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Case expression

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Pandas: to csv

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Pandas: read excel

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Redis: session store

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Pandas: nunique

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PostgreSQL: schema

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Pandas: unique

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Spark: pyspark

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PostgreSQL: role

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Spark: spark scala

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Any single char

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PostgreSQL: grant

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DataEng: orchestration

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Redis: key naming

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DataEng: governance

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DataEng: warehouse examples

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PostgreSQL: stored procedure

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Average value

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DataEng: object storage

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Redis: GETSET

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Filter greater than

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Redis: MSET

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Count matching

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Redis: APPEND

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MongoDB: data types

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MongoDB: date

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Redis: TYPE

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DDL vs DML

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Alter table

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MongoDB: countDocuments

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Kafka: create topic

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MongoDB: distinct

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PostgreSQL: uuid

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Redis: atomic counter

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Pandas: replace

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PostgreSQL: coalesce

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DataEng: SLA

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PostgreSQL: cast

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Auto increment

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PostgreSQL: limit offset

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MongoDB: Atlas

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Redis: client library

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MongoDB: driver

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Redis: PERSIST

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DataEng: freshness

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Redis: SETEX

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PostgreSQL: unique constraint

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Stored procedure

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