This data comes in a variety of formats and needs to be integrated with our own internal systems in order for our teams to be able to analyze it,” said Vladimir Barkov, Director of Data Architecture and Engineering at Time Inc. “Redshift Spectrum enables us to directly operate on our data in its native format in Amazon S3 with no preprocessing or transformation. “As a media company, we receive a large quantity of data from a number of ad serving providers. Time Inc. is a leading content company that engages over 150 million consumers every month through its portfolio of premium brands across platforms. This is truly a game changer, and we can think of no other system in the world that can get us there.” “Redshift Spectrum will let us expand the universe of the data we analyze to 100s of petabytes over time. Migrating to Amazon Redshift two years ago allowed us to scale to over ten petabytes of uncompressed data with a ten times performance improvement over our prior on-premises system,” said Mick Etoh, Senior Vice President and General Manager of Innovation Management Department, NTT DOCOMO. “Our data analysis platform collects tens of terabytes of log data each day from a variety of internal and external sources to help us improve our logistics and marketing operations. Tokyo-based NTT DOCOMO is the largest mobile service provider in Japan, serving more than 68 million customers. We’re excited to now make exabyte-scale analytics fast, simple and accessible to companies of all sizes.” “Redshift Spectrum does just this, offering the best of both worlds by making it incredibly easy to query exabytes of data in Amazon S3 directly from Amazon Redshift. Many of these customers have asked us to extend the speed and flexibility of Amazon Redshift beyond the data warehouse to analyze all of the data they have in Amazon S3,” said Raju Gulabani, Vice President, Databases, Analytics, and AI, AWS. “Customers such as Amgen, Boingo Wireless, Electronic Arts, Hearst, Lyft, Nasdaq, Scholastic, TripAdvisor, and Yahoo! are migrating to Amazon Redshift in droves because it leverages the scale of AWS to analyze petabytes of data with ten times the performance at one-tenth the cost of old guard data warehouses. Redshift Spectrum automatically scales query compute capacity based on the data being retrieved, so queries against Amazon S3 data run fast, whether processing just a few terabytes, petabytes, or even exabytes. They can also run queries that span both the frequently accessed data stored locally in Amazon Redshift and their full data sets stored cost-effectively in Amazon S3. Since Redshift Spectrum supports the same SQL syntax of Amazon Redshift, customers can run sophisticated queries using the same Business Intelligence (BI) tools they do today. Redshift Spectrum directly queries data in Amazon S3, with no loading or transformation required, using the open data formats customers already use, including CSV, TSV, Parquet, Sequence, and RCFile. Now, with Redshift Spectrum, analyzing all of this data is as easy as running a standard Amazon Redshift SQL query. However, as the cost of data storage has continued to drop, customers are increasingly storing vast amounts of data in Amazon S3 “data lakes,” including unstructured data that may never make it into a data warehouse. Īmazon Redshift is one of AWS’s fastest-growing services because it allows customers to perform complex queries on petabytes of structured data stored on high-performance local disks and get superfast performance – all for a tenth of the cost of traditional data warehouses. To get started with Redshift Spectrum, visit. Redshift Spectrum applies sophisticated query optimization, scaling processing across thousands of nodes so results are fast – even with large data sets and complex queries. With Redshift Spectrum, customers can extend the analytic power of Amazon Redshift beyond data stored on local disks in their data warehouse to query vast amounts of unstructured data in their Amazon S3 “data lake” – without having to load or transform any data. 19, 2017- Today, Amazon Web Services, Inc. (AWS), an company (NASDAQ: AMZN), announced Amazon Redshift Spectrum, a new feature that allows Amazon Redshift customers to run SQL queries against exabytes of their data in Amazon Simple Storage Service (Amazon S3). New capability allows Amazon Redshift customers to run analytic queries quickly and inexpensively against exabytes of data in Amazon S3
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