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🏆 Top solvers in Data

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

SELECT purpose

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DataEng: Data engineering

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MongoDB: What is MongoDB

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Redis: What is Redis

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PostgreSQL: What is PostgreSQL

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Kafka: what is kafka

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Pandas: what is pandas

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Airflow: what is airflow

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Spark: what is spark

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DBMS: what is dbms

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Elasticsearch: what is es

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Cassandra: what is cassandra

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DataViz: what is dataviz

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DynamoDB: what is dynamodb

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Hadoop: what is hadoop

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MySQL: what is mysql

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Neo4j: what is neo4j

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Filter rows

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DataEng: ETL

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MongoDB: Document

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Redis: In-memory

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PostgreSQL: ACID

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Kafka: topic

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Pandas: dataframe

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Airflow: dag

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Spark: in memory

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DBMS: rdbms

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Elasticsearch: based on

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Cassandra: wide column

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DataViz: purpose

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DynamoDB: serverless db

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Hadoop: distributed

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MySQL: sql

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Neo4j: graph model

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Sort results

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DataEng: ELT

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MongoDB: Collection

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Redis: Speed

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PostgreSQL: SQL standard

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Kafka: producer

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Pandas: series

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Airflow: dag meaning

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Spark: rdd

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DBMS: table

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Elasticsearch: document

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Cassandra: no single master

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DataViz: bar chart

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DynamoDB: key value

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Hadoop: big data

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MySQL: open source mysql

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Neo4j: node neo4j

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Distinct

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DataEng: Data pipeline

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MongoDB: BSON

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Redis: Common use

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PostgreSQL: psql

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Kafka: consumer

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Pandas: read csv

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Airflow: acyclic

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Spark: dataframe spark

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