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To capture data for business analytics, Z2 uses an ETL pipeline and Amazon Simple Queue Service (SQS) to process hundreds of TB of event data and store it in Redshift.
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“I need to know that databases and code are functioning correctly and that customers are having a good time,” says Markus Schweig, director of Live Operations.
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The company has created custom software and meters to monitor operational data in real-time. The company estimates that more than 55 million people have played its games on smartphones and tablets, generating roughly 3 billion gameplay sessions. Z2 is a creator of multiplayer, free-to-play mobile games. And from the engineers’ perspective, Redshift was great because maintenance was handled by AWS, it was easily scalable way beyond where we’re at now, and reserved instances brought our cost per TB down to about $2,000 per year.” Z2 “Except it was blazingly fast, even when running complex queries with several Common Table Expressions and a bunch of JOINs on many millions of rows. “From the analysts’ perspective, Redshift was just a slightly modified version of PostgreSQL,” Mintz says.
Upworthy was able to use a tool called MoSQL to map its Mongo collections to PostgreSQL tables, but it was clear its PostgreSQL database wouldn’t be able to handle the volume of data Upworthy wanted to tackle. “So even a relatively simple question like “How many posts about gender diversity did our freelancers curate in April?” isn’t easily answerable, because it would require joining post data with curator data,” Mintz says. The NoSQL database was an excellent choice for flexibility in content management, but it lacks support for JOINs. When media site Upworthy started getting serious about capturing and storing its data, it ran head-on into a problem, says Daniel Mintz, director of business intelligence. By using Amazon Redshift, it only took six hours to load the data.” Upworthy “That type of load would have taken about 20 days with our previous solution. “We needed to load six months’ worth of data, about 10 TB of data, for a campaign,” says Hong. “We needed a solution that freed us from licensing fees and let us use our staff time more strategically,” he says. But its database system required a lot of staff time to keep it running and came with high annual licensing costs says Jon Hoffman, a Foursquare software engineer. The company relies on analytics to report its daily usage, evaluate new offerings and perform long-trend analysis. It streams hundreds of millions of application logs each day. The Foursquare location-based social app has 40 million users worldwide and more than 1.5 million businesses use its Foursquare Merchant Platform. In fact, he says, the annual costs of Redshift are equivalent to just the annual maintenance of some of the cheaper on-premises options for data warehouses. He elected to skip the RFP and jump directly into the Redshift public beta.ĮTL was the hardest part, he says, but HauteLook is now “saving a ton” due to having no hardware costs and no maintenance or overhead costs. When deciding which way to go with a data warehouse, Diamond says he looked at some competitors and determined they all required software, implementation and “big” hardware. We can start to look at how things might be trending and we can correlate that with other interesting information as well so you start to layer up information in a very powerful way.” “We can see what people are liking on the site. “We can show much more clearly where the revenue is coming from,” O’Donovan says. The paper now uses AWS Redshift, allowing it to run 450,000 online queries 98 percent faster than its previous traditional data center, while reducing infrastructure costs by 80 percent. Even so, FT CTO John O’Donovan says the paper needed a way to increase the speed, performance and flexibility of its data analysis. The international daily has embraced the digital age. The venerable Financial Times (FT) newspaper may be 126-years-old this year, but that doesn’t mean it’s out of date. Here are seven examples of companies that have used Amazon Redshift to transform their business. Unlike the Amazon RDS hosted database offering, which is a distributed relational database, Redshift is a column-oriented DBMS able to handle large-scale datasets using massive parallel processing.
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It was available in beta in November 2012, with a full release in February 2015.
Amazon Redshift is a fully hosted, petabyte-scale data warehouse service available as part of the Amazon Web Services platform.
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