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Tag: inner join

Run an audience overlap analysis in AWS Clean Rooms | Amazon Web Services

Advertisers, publishers, and advertising technology providers are actively seeking efficient ways to collaborate with their partners to generate insights about their collective datasets. One...

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SQL Commands (DDL, DML, DCL, TCL, DQL): Types, Syntax, and Examples

Table of contents Overview SQL, which stands for Structured Query Language, is a powerful language used for managing and manipulating relational databases....

Enable business users to analyze large datasets in your data lake with Amazon QuickSight | Amazon Web Services

This blog post is co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security...

Use Amazon SageMaker Canvas to build machine learning models using Parquet data from Amazon Athena and AWS Lake Formation | Amazon Web Services

Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet...

Understanding SQL JOINs: Inner, Outer, Full, Left, and Right

IntroductionSQL joins are fundamental operations used to combine data from multiple tables based on common columns. A solid understanding of SQL joins is crucial...

A Comprehensive Guide to SQL JOINs: Inner, Outer, Full, Left, and Right Explained

Structured Query Language (SQL) is a powerful tool for managing and manipulating data in relational databases. One of the most important features of SQL...

Implement slowly changing dimensions in a data lake using AWS Glue and Delta

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. To...

Visualize Confluent data in Amazon QuickSight using Amazon Athena

This is a guest post written by Ahmed Saef Zamzam and Geetha Anne from Confluent. Businesses are using real-time data streams to gain insights...

3 Ways to Merge Pandas DataFrames

Image by Editor  Data in the real world is scattered and requires bringing different sources together on some common grounds. It also needs to...

Common Table Expressions (CTE) in SQL

Introduction CTE is the short form for Common Table Expressions. CTE is one of the most powerful tools of SQL (Structured Query Language), and it also...

­­Use fuzzy string matching to approximate duplicate records in Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to run complex SQL analytics at scale...

Top 10 Advanced Data Science SQL Interview Questions You Must Know How to Answer

Image by Author  SQL( Structured Query Language) is a standard programming language used for managing and manipulating databases. It's an essential skill for any...

Build near real-time logistics dashboards using Amazon Redshift and Amazon Managed Grafana for better operational intelligence

Amazon Redshift is a fully managed data warehousing service that is currently helping tens of thousands of customers manage analytics at scale. It continues...

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