Redshift

Redshift WHERE Clause with Multiple Columns

Migrating from databases like Teradata or Oracle to Amazon Redshift often means looking for familiar SQL patterns. One common challenge developers face is filtering data using multiple columns at once. Fortunately, you can now easily use an Amazon Redshift WHERE clause with multiple columns to get the exact data you need. Page Content Introduction How to Filter Multiple Columns in Redshift (Syntax & Example) Conclusion Introduction When writing Redshift SQL queries, the WHERE clause helps you filter records so you only retrieve matching rows from a table. While older versions…

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July 6, 2022
Redshift

How to Create a Materialized View in Redshift?

Are your complex queries slowing down your dashboard reporting? You can easily fix this performance issue by storing precomputed results. Let's explore how to create a materialized view in Redshift to speed up your data warehouse. Materialized View in Redshift Page Content Introduction What is a Materialized View in Redshift? Redshift View vs Materialized View Redshift Materialized View Syntax and Example How to Refresh and Drop Materialized Views Redshift Materialized View Limitations Conclusion Introduction Many organizations use Amazon Redshift as their primary data warehouse for dashboards and reporting. If your…

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June 16, 2022
Redshift

How to Choose the Best Compression Encoding in Amazon Redshift?

Data is the backbone of any modern company's decision-making process, helping teams spot trends and fuel growth. However, as your data grows exponentially, optimizing how it is stored becomes critical to keep costs down and speeds up. In this guide, we will walk you through how to choose the right Amazon Redshift compression encoding to improve your query performance and save storage space. Analyze Compression in Redshift Page Content Introduction What is Compression Encoding in Redshift? Types of Redshift Compression Encodings How to Use Redshift ENCODE AUTO? How to Choose…

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March 17, 2022
Redshift

How to Query JSON Data in Amazon Redshift (With Examples)?

Similar to many cloud data warehouses such as Snowflake, Amazon Redshift supports many json functions to perform operations on json such as validating json data, parsing json values, etc. You can use these json functions to query the JSON data stored in a varchar column. In this article, we will check how to query JSON data in an Amazon Redshift with an example. Handling semi-structured data doesn't have to be a headache. If you are working with Amazon Redshift, you have powerful, native functions to store, parse, and analyze JSON…

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March 4, 2022
Redshift

How to Create External Tables in Amazon Redshift (Step-by-Step Guide)

Want to query your Amazon S3 data directly without moving it into your data warehouse? Amazon Redshift external tables make it easy to bridge your data lake and your database. Let's walk through exactly how to set them up and start querying your flat files in minutes. Page Content Introduction Step 1: Create an External Schema and Database Step 2: Create an External Table in an External Schema Step 3: Access the External Table Step 4: List External Tables Available on Amazon Redshift Step 5: Export Redshift Tables Using External…

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March 2, 2022
Redshift

How to Convert Teradata Integer Dates in Amazon Redshift?

Migrating from Teradata to Amazon Redshift often brings up unique data formatting challenges, especially around legacy data types. If you are struggling to handle Teradata's custom integer date formats in your new Redshift environment, you aren't alone. Let's explore the most efficient ways to translate these numeric dates into standard, usable Redshift date formats. Page Content Introduction Understanding Teradata Number Date Values Translating Numbers to Dates in Teradata Converting Teradata Integer Dates in Amazon Redshift Using a Redshift UDF for Date Conversion Conclusion Introduction Relational databases like Teradata natively support…

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January 19, 2022
GCP BigQuery

NVL and NVL2 Functions in BigQuery and Alternatives

Like many relational databases, GCP BigQuery supports many useful built-in functions. Not all the functions those are available in other relational databases are supported in BigQuery. But, BigQuery provides alternative built-in functions that you can use. In this article, we will check NVL and NVL2 functions in BigQuery database. Page Content Introduction Does BigQuery Support NVL and NVL2 Functions? Best BigQuery Alternatives to the NVL Function Using IFNULL as an NVL Alternative Using COALESCE as an NVL Alternative Best BigQuery Alternatives to the NVL2 Function Using CASE as an NVL2…

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January 13, 2022
Redshift

Redshift SELECT INTO Variable – Complete Guide and Examples

The relational database that supports procedural language allows you to assign a value to local variable using SELECT statement within stored procedures. The databases such as Teradata, Oracle supports SELECT INTO clause to assign a value to a local variable. In this article, we will check how to assign a subquery value to a local variable using Redshift SELECT INTO clause within Stored Procedures. Are you trying to assign a query result to a local variable in Amazon Redshift? Mastering the SELECT INTO statement is essential for writing efficient PL/pgSQL…

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December 13, 2021
Redshift

What is ENDS_WITH Function Alternative in Redshift?

The relational databases such as Oracle and cloud databases such as BigQuery, Snowflake supports ends with function. The function name may be different, but the functionality is same. For example, Oracle and BigQuery provides ENDS_WITH function and Snowflake contains ENDSWITH function. The Amazon Redshift does not provide ENDS_WITH function. In my other article, What is STARTS_WITH Function Alternative in Redshift, we have seen starts_with alternative in Redshift. In this article, we will check what is ENDS_WITH function alternative in AWS Redshift? ENDS_WITH Function In Redshift Not all the string functions…

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November 30, 2021
Redshift

What is STARTS_WITH Function Alternative in Redshift?

The relational databases such as Oracle and cloud databases such as BigQuery, Snowflake supports starts with function. The function name may be different, but the functionality is same. For example, Oracle and BigQuery provides STARTS_WITH function and Snowflake contains STARTSWITH function. The Amazon Redshift does not provide STARTS_WITH function. In my other article, What is ENDS_WITH Function Alternative in Redshift, we have seen ends_with alternative in Redshift. In this article, we will check what is STARTS_WITH function alternative in AWS Redshift? STARTS_WITH Function In Redshift Not all the string functions…

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November 30, 2021