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Getting Started with AWS — Redshift

Analytics Vidhya

In this blog we are going to focus on creating a data warehouse on AWS Redshift and establishing a connection to it from our local machine. Note : This blog is going to cover an introductory level…

Amazon RedShift : Wishlist of new features for re:Invent 2019

Towards Data Science

RedShift is a hugely scalable, parallel and fully managed data warehouse offering from AWS, and a key component of the AWS Cloud Data Stack. Here, I list a few features I wish to see added to…

Analyzing & Visualizing Amazon Redshift Data — Tutorial

Towards Data Science

Amazon Redshift is Amazon’s cloud-based relational database management system (RBDMS). Like most of Amazon’s offerings, Amazon Redshift is very popular, and for good reason: not only is it currently…

Amazon Redshift Architecture

Towards Data Science

Understanding the foundations of Redshift. This post looks at AWS redshift architecture and understanding the impact and benefit of each component.

Latest 6 top ways to tune Amazon Redshift Performance

Analytics Vidhya

Amazon Redshift is a very popular PB-level massively parallel data warehouse that provides an open standard JDBC/ODBC driver interface for users to directly interface with existing business…

Redshift from the command line

Towards Data Science

Interact with your Redshift cluster from the command line with psql

Beefing Up Redshift Performance

Javarevisited

MPP is an predestined tool for any Data Warehousing and Big Data use case. Amazon Red Shift overhaul all of its peers in its space due to its ease to use, performance and scalability. Optimization can...

How to load geospatial data in Amazon Redshift?

Towards Data Science

Amazon Redshift announced support for spatial data in November 2019. This support included the new GEOMETRY data type and over 40 spatial functions. It was enhanced in September 2020 with the…

Loading Data From Amazon S3 To Amazon Redshift

Towards Data Science

In this tutorial, you walk through the process of loading data into your Amazon Redshift database tables from data files in an Amazon S3 bucket from beginning to end. Step 2: On the navigation menu…

Easy Fixes For Redshift Performance

Towards Data Science

Redshift is awesome, until it stops being that. Usually, it isn’t so much Redshift’s fault when that happens. One of the most common problems that people using Redshift face is of bad query…

Building a Data Warehouse on Amazon Redshift

Better Programming

As an organization grows, its data storage, monitoring and analysis requirements also exponentially increase. Traditional data warehouse don’t always easily handle massive amounts of growth. This…

Modernize Data Warehouse with Amazon Redshift

Analytics Vidhya

Digital data is growing at an incomprehensible rate and enterprises are finding it difficult to ingest, store and analyze the data quickly while keeping their costs low and therefore they are moving…