Welcome!

@CloudExpo Authors: Yeshim Deniz, Elizabeth White, Liz McMillan, Zakia Bouachraoui, Pat Romanski

News Feed Item

Contemporary Apparel Manufacturer Selects Vertica Analytic Database

- Market-leading columnar, MPP analytic DBMS chosen to reduce cost of data warehousing terabytes of retail data in North America and Europe

BILLERICA, Massachusetts, August 27 /PRNewswire/ -- Contemporary apparel and consumer products manufacturer Guess?, Inc. has selected the Vertica Analytic Database to help the rapidly growing company analyze dozens of terabytes of point-of-sale (POS), manufacturing, inventory, customer and store performance data in several global data centers.

"Retail moves at lightning speed so we needed a high-performance analytics platform that could handle our fast-paced requirement for information," said Mike Relich, CIO, Guess?, Inc. "After looking at several alternatives we selected Vertica because it simply delivers the answers the business needs in record time and at much lower cost than the other databases and appliances we evaluated."

Guess?, Inc. selected the Vertica Analytic Database after evaluating a competing, appliance-based solution, as well as its incumbent one-size-fits-all database management system. The Vertica Analytic Database has a unique columnar, MPP architecture and pioneering data compression to reduce storage requirements by as much as 90 percent, dramatically cutting hardware overhead and energy consumption so companies can analyze larger amounts of data at a fraction of the cost. It can operate directly on that compressed data, delivering query results 50 to 200 times faster than other databases. Guess?, Inc. will run the Vertica Analytic Database in conjunction with front-end business intelligence tools from MicroStrategy and BusinessObjects.

Guess?, Inc.'s selection of the Vertica Analytic Database reflects the retail market's growing interest in database analytics as reported by research group IDC. IDC predicted in August 2009 that spending for retail demand intelligence (RDI) and analytics applications, pegged at US$234 million in 2007, will grow nearly 13 percent globally yearly through 2011.

"More customers in more vertical markets are discovering the benefits of our combined columnar/MPP database software, and retail is emerging as a key beneficiary of the analytic agility Vertica-based teramarts deliver," said Ralph Breslauer, President and CEO, Vertica Systems. "Guess?, Inc. is definitely ahead of the curve in the area of customer analytics, and we are excited to be part of their ground-breaking data warehousing and business intelligence platform."

About Vertica

Vertica Systems is the market innovator for high-performance analytic database management systems that run on industry-standard hardware. Co-founded by database pioneer Dr. Michael Stonebraker, Vertica has developed column-oriented analytic database technology with an MPP architecture that lets companies of any size store and query very large databases orders of magnitude faster and more affordably than other solutions. The Vertica Analytic Database is available as software only, as a hardware based appliance, as a virtual appliance on VMware or online as a cloud computing solution. The technology's unmatched speed, scalability, flexibility and ease of use helps customers like JP Morgan Chase, Verizon, Mozilla, Comcast, Level(3) Communications and Vonage capitalize on business opportunities in real time. Vertica is headquartered in Billerica, Mass. For more information, visit the company's Web site at http://www.vertica.com.

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
Even if your IT and support staff are well versed in agility and cloud technologies, it can be an uphill battle to establish a DevOps style culture - one where continuous improvement of both products and service delivery is expected and respected and all departments work together throughout a client or service engagement. As a service-oriented provider of cloud and data center technology, Green House Data sought to create more of a culture of innovation and continuous improvement, from our helpdesk on to our product development and cloud service teams. Learn how the Chief Executive team helped guide managers and staff towards this goal with metrics to measure progress, staff hiring or realignment, and new technologies and certifications.
Technology has changed tremendously in the last 20 years. From onion architectures to APIs to microservices to cloud and containers, the technology artifacts shipped by teams has changed. And that's not all - roles have changed too. Functional silos have been replaced by cross-functional teams, the skill sets people need to have has been redefined and the tools and approaches for how software is developed and delivered has transformed. When we move from highly defined rigid roles and systems to more fluid ones, we gain agility at the cost of control. But where do we want to keep control? How do we take advantage of all these new changes without losing the ability to efficiently develop and ship great software? And how should program and project managers adapt?
When Enterprises started adopting Hadoop-based Big Data environments over the last ten years, they were mainly on-premise deployments. Organizations would spin up and manage large Hadoop clusters, where they would funnel exabytes or petabytes of unstructured data.However, over the last few years the economics of maintaining this enormous infrastructure compared with the elastic scalability of viable cloud options has changed this equation. The growth of cloud storage, cloud-managed big data environments, and cloud data warehouses like Snowflake, Redshift, BigQuery and Azure SQL DW, have given the cloud its own gravity - pulling data from existing environments. In this presentation we will discuss this transition, describe the challenges and solutions for creating the data flows necessary to move to cloud analytics, and provide real-world use-cases and benefits obtained through adop...
Docker and Kubernetes are key elements of modern cloud native deployment automations. After building your microservices, common practice is to create docker images and create YAML files to automate the deployment with Docker and Kubernetes. Writing these YAMLs, Dockerfile descriptors are really painful and error prone.Ballerina is a new cloud-native programing language which understands the architecture around it - the compiler is environment aware of microservices directly deployable into infrastructures like Docker and Kubernetes.
Your applications have evolved, your computing needs are changing, and your servers have become more and more dense. But your data center hasn't changed so you can't get the benefits of cheaper, better, smaller, faster... until now. Colovore is Silicon Valley's premier provider of high-density colocation solutions that are a perfect fit for companies operating modern, high-performance hardware. No other Bay Area colo provider can match our density, operating efficiency, and ease of scalability.