Redshift

Psql Invalid Value for Parameter client_encoding – Redshift

In my other article, we have seen steps to connect to Redshift cluster using PostgreSQL PSQL. When you connect to Amazon Redshift from Windows command prompt, you may experience the client encoding issue. In this article, we will check how to resolve "psql: FATAL: invalid value for parameter "client_encoding": "WIN1252"" issue. This is issue is mostly seen when connecting using Windows command prompt. Postgres PSQL Introduction PSQL is a terminal-based front-end to PostgreSQL. It enables you to type in queries interactively, issue them to PostgreSQL, and see the query results. Since Redshift…

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April 5, 2022
Snowflake

How to Query S3 External Files in Snowflake?

You can integrate the cloud storages, such as AWS S3, Azure Blob and GCP cloud storage with Snowflake cloud data warehouse very easily. Snowflake does support external tables, you can create external tables on the top of the files stored on the external storages such as S3, blob or GCP storage. In this article, we will check how to query S3 external files directly in Snowflake. How to Query S3 External Files in Snowflake? Snowflake Cloud data warehouse supports using standard SQL to query data files located in an internal…

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July 26, 2021
Redshift

Amazon Redshift CONCAT Function-Syntax and Examples

The data warehouse is built from many heterogeneous data sources. It is a common requirement to combine data from multiple columns or two strings before loading them to target table. For example, you may get requirement to combine state and city columns before loading data to the customer table. In this article, we will check Amazon AWS Redshift CONCAT function, its Syntax and examples. We will also check how to combine two or more columns using Redshift CONCAT operator (||). Amazon Redshift provides multiple methods to concatenate the strings The…

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March 16, 2021
Redshift

TRY_CAST Function Alternative in Redshift – Examples

There are many situations where in CAST conversion fails. For example, let us say you are trying to convert varchar to integer. The cast function will fail if the content is not valid integer values. Data bases such as Snowflake, Azure SQL data warehouse supports try_cast function to safely convert data types. In this article, we will check TRY_CAST function alternative in Redshift and how to use it to safely convert data types of the input values. TRY_CAST Function Alternative in Reshift Before going into details about try_cast alternative in…

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April 25, 2020
Redshift

Redshift CASE Statement, Usage and Examples

In general, the CASE expression or command is a conditional expression, similar to if-then-else statements found in other languages. CASE is used to specify a result when there are multiple conditions. In this article, we will check how to use Redshift CASE Statement, its syntax and usage with some examples. Post Content Introduction to Redshift CASE Statement Syntax and Examples of CASE Statements in Redshift Simple CASE Statements Searched CASE Statements Usage of CASE Statements in Redshift CASE Statements with Aggregation Redshift CASE Statement with Windows Functions Redshift CASE Statement…

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August 22, 2019
Redshift

Amazon Redshift Features – Benefits and uses

Amazon Reshift is one of its kind cloud data warehouse appliance on the AWS cloud. It is lightning-fast, Massively parallel processing (MPP), scalable data warehouse and data processing solutions without a massive investment in infrastructure. Redshift provides access to other tools like storage service S3, data lake, machine learning modules, etc. Amazon Redshift is a lot different compared to other MPP data warehouse appliances like Netezza, Greenplum, etc. In this article, we will check Amazon Redshift features, benefits and its uses. Amazon Redshift Features Redshift is a great Platform as…

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August 18, 2019
General

Amazon Released PartiQL – An Open Source SQL Compatible Query language

Today, most of the business critical decisions are driven by data. As data grows, it is typically spread across a combination of relational databases, non-relational data stores, and data lakes. As per Harvard business review, on average, less than half of structured data is being used to make business critical decision. Structured data could be a data from relational databases. They do no have facilities to consider other data sources such as the local file system or NoSQL database data or data lakes. In this article, we will check newly…

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August 7, 2019