If you have ever wondered at how a major portal like Zoopla deals with the analysis of huge amounts of data, there is an interesting insight in an article on the idk.dev website written by Steven Collings, Senior Data Consultant at Zoopla.
The introduction says:
Zoopla is a property website that enables users to find residential or commercial property to buy or rent in the UK and overseas. Since acquiring Property Software Group and Expert Agent, we also offer a backend software that agents can use to build their businesses. Amidst the growth and acquisitions, we needed a way to bring together data from disparate systems to drive key performance indicators (KPIs) for all the Salesforce and NetSuite data we store in Amazon Redshift.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse solution that makes it simple and cost-effective to efficiently analyze all of your data using your existing business intelligence tools. We have used Amazon Redshift as our data warehouse for more than 5 years and have developed deep knowledge of the AWS analytics stack.
Amazon Redshift has always performed well for us and integrates with other services we rely on, such as Amazon Simple Storage Service (Amazon S3), AWS Glue, and Microsoft Power BI, among others. Importantly, Amazon Redshift has evolved along with our needs. For example, we adopted Amazon Redshift Spectrum to query data directly in our Amazon S3 data lake so that we can scale efficiently from a cost and performance perspective, and easily combine data in the warehouse and the lake. In general, we’re pleased that AWS has continuously allowed us to scale and move forward.
Should you be conversant with such things as ‘analytics stacks’ and ‘data lakes’ you may well understand and enjoy the rest of the article…
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