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Posts Tagged ‘AWS Redshift’

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Move data from Amazon RDS PostgreSQL to Amazon Redshift using Data migration service: A Guide

For those unfamiliar with Amazon Web Services (AWS), is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals and companies, on a metered pay-as-you-go basis. These cloud computing web services provide distributed computing processing capacity and software tools via AWS server farms. This blog will demonstrate how to use the […]

Adam Selipsky Keynote, Aws Re:invent 2022, The Venetian, Las Vegas, Tuesday, November 29, 2022

Highlights from AWS CEO Adam Selipsky’s Keynote at re:Invent

To kick off the largest cloud conference of the year, Amazon Web Services (AWS) CEO Adam Selipsky delivered his opening keynote at AWS re:Invent in Las Vegas. Selipsky welcomed 50,000 in-person attendees and 300,000 virtual attendees from around the globe. He encouraged enterprises to move to the cloud, citing the dramatic cost savings it offers, […]

An Overview of Amazon Redshift Data Warehouse

This blog post will provide an overview on the following topics: What is Amazon Redshift? Amazon Redshift Data warehouse Data Warehouse System Architecture Connecting SQL Client to Amazon Redshift Database Connecting to a DB Instance by Running Postgre SQL DB Engine Testing as a part of Amazon warehouse Amazon Redshift – a shift from conventional […]

How to Establish an Amazon Redshift Connection in DataStage

Amazon Redshift is a data warehouse, which allows us to connect through standard SQL based clients and business intelligence tools effectively. It delivers fast query performance by using row-wise data storage by executing the queries parallel in a cluster on multiple nodes. The primary focus of this blog is to establish the connection between AWS […]

Health Solutions Organization Transforms with AWS

Healthcare organizations face a mountain of challenges with the management of their data. As put forth in the Health Insurance and Patient Accountability Act (HIPAA) of 1996 and subsequent rulings on personal health information (PHI), health maintenance organizations must take specific precautions and care for patient data or face financial consequences. Additionally, healthcare organizations are […]