ueries. To get started with Amazon Athena, visit https://aws.amazon.com/athena.
AWS analytics services like Amazon Redshift and Amazon EMR have made petabyte-scale analytics accessible to companies of all sizes. With Amazon Redshift, customers can perform complex queries on massive collections of structured data and get superfast performance. For unstructured data, Amazon EMR makes it fast and cost-effective to process and analyze vast amounts of data across dynamically scalable clusters using popular distributed frameworks like Apache Spark, Presto, Hive, and Pig. While these services are scalable and powerful enough to handle the largest and most complex big data applications, many customers also want to be able to very quickly run queries on data stored in Amazon S3 (e.g. web logs, clickstreams, and raw event files) without having to spin up, configure, and manage a Hadoop cluster or a data warehouse. Now, with Amazon Athena, analyzing data stored in
“Over the past few years, AWS has built a comprehensive set of big data services that customers use to do everything from real-time analytics on streaming data, to petabyte-scale data warehousing, or Spark and Hadoop jobs – and it’s all fast, scalable, and cost-effective,” said
“We are long time customers of AWS, and use services like
LiveIntent, a platform for people-based marketing and advertising focused on the email channel, helps over 1,100 brands deliver marketing and advertising to 145 million people in emails sent by 1,300 top Publishers every month. “The LiveIntent platform collects and processes hundreds of millions of events per day. We are continuously challenging ourselves to build and extend the platform to provide faster and cheaper access to data, which in turn translates to better and faster insights for our customers,” said
DataXu helps marketers understand how marketing investments can lead to profitable customer relationships using data. “We process 3M+ bid requests per second, which results in a total of 3PB of incoming data every day. Even with compression and reduction, this results in 180+ Terabytes of logs per day,” said Yekesa Kosuru, Vice President, Engineering, DataXu. “We started using Amazon Athena as soon as we heard about it and are loving its simplicity, speed, and pay-per-query pricing model. Amazon Athena provides us with the ability to query our entire data set stored on Amazon S3, without the need to manage infrastructure. Because there’s nothing to manage and we only pay per query, we’re actively deploying Amazon Athena throughout the company.”
Inrix is a leading provider of real-time traffic intelligence for enterprises, public sector, and media. “At INRIX we ingest terabytes of road network and movement data on a daily basis and run hundreds of Amazon EMR data pipelines to process it. We use Amazon S3 as a repository for our un-processed, in-process, and processed datasets. Our data scientists need to slice, dice, and analyze this data to build mathematical models of predictive analytics on road networks. Our data engineers need the ability to drill down from processed data to in-process data for monitoring and debugging data quality issues,” said Harsh Shah, Group Engineering Manager, Inrix. “We jumped at the opportunity to try Amazon Athena and loved the speed, ease of use, and flexibility offered by Amazon Athena. With Amazon Athena, any of our developers can query all of our data stored on Amazon S3 using SQL, without worrying about infrastructure or knowledge of big data processing systems. Amazon Athena has enabled us to quickly turn
Japan Taxi, a transportation app, has two million active users every month. “The ability to put data into Amazon S3 and query it just using standard SQL with Amazon Athena is incredible,” said Kazuhiri Iwata, Chief Technology Officer, Japan Taxi. “With Amazon Athena, we don’t have to load the data since the service can query the data in place. Now, any of our developers can query data at its most granular resolution, at low costs – enabling us to give everyone who needs it easy access to our data. Because Amazon Athena uses open source formats, we can also use other solutions like Amazon EMR on the same data, making interoperability easy. And, because Amazon Athena requires no administration, we were able to get started immediately.”
mParticle allows mobile app developers to collect and make sense of their data. “At mParticle we collect and process large amounts of data. We want all of our customers to be able to process raw data with simple languages such as SQL,” said
Nasdaq’s technology powers more than 70 marketplaces in 50 countries, and 1 in 10 of the world’s securities transactions. “Built on a vision of innovation and a heritage of disruption, we are always looking for new ways to improve efficiencies and gain new insights across business areas within all of our markets. Given that data is critical to the success of our business, we are always interested in new tools to analyze the data we have stored in Amazon Redshift, Amazon S3, and other sources,” said
JW Player, one of the world’s most popular video player and a leading digital and mobile video solutions company, is live on more than 2 million sites across all devices — OTT, phones, tablets, and desktops — with more than 1.3 billion unique monthly views. “We use a combination of platforms to power the JW Analytics Dashboard, which provides analytics to measure content performance across large data sets. We regularly ingest 4+ billion events per day and are always looking for solutions that simplify processing large data sets, while reducing cost and complexity,” said
Tableau helps people see and understand data. “Our mission is to put data in the hands of as many people as possible so they can act on it and have an impact on the world around them,” said
Customers can start using Amazon Athena using the AWS Management Console. Amazon Athena is currently available in the US East (N.
About Amazon Web Services
For 10 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 70 fully featured services for compute, storage, databases, analytics, mobile,
Source: Amazon Web Services