Boost insights and agility with a big data solution

Increasing amounts of data and powerful analytical tools are facilitating unprecedented insights in all industries. Yet to compete, organizations must also boost efficiency, contain costs and minimize risks. How do companies achieve all of these goals and maintain flexibility to meet tomorrow’s requirements?

Since 2011, Dell has helped global organizations create and modify big data clusters that are fast, scalable and faster to deploy. You can build your big data solution from the ground up, or take advantage of the pretested and precertified Dell | Cloudera Apache Hadoop Solution, powered by Intel Xeon processors. In either case, you can select your preference of Apache Hadoop including Cloudera Distribution of Hadoop or Cloudera Enterprise. You can also choose from end-to-end Dell services and technologies with Intel Xeon processors. Plus, you can incorporate other open-source and third-party products as well. All components work together seamlessly and include data collection, management and analytics options that save time and money.

The following five organizations implemented Dell big data solutions to achieve different goals. In all cases, the customers increased insights, improved offerings, boosted efficiency and saved money:

SIEMENS

Siemens speeds responsiveness by gaining a real-time, 360-degree view of global supply chains with a Dell | Cloudera Apache Hadoop Solution that uses Intel Xeon processors. Now staff can analyze billions of product records —in fewer than three seconds — to catch issues faster, saving customers millions of dollars.

ARIZONA STATE UNIVERSITY

Arizona State University accelerates potentially life-saving genetic analysis by weeks and gains insight that was previously impossible with a Dell | Cloudera Apache Hadoop solution that’s powered by Intel processors. The University also increases multidisciplinary collaboration and cuts storage costs by 70 percent.

TULANE UNIVERSITY

Tulane University transforms research potential with an Intel-powered Dell | Cloudera Apache Hadoop Solution by building a cluster that delivers more than 350 teraflops of theoretical performance. Research that used to take months to complete, now takes just days.

MERKLE

Merkle improves services by gaining a holistic view of clients with a Dell Apache Hadoop Solution based on Intel Xeon processors. It can accommodate any type and amount of data — and process it 10 times faster. Additionally, Merkle cut TCO by 60 percent and can now create predictive models.

DELL SECUREWORKS

Dell SecureWorks detects and resolves security threats faster with real-time insight into billions of new records each day using an Intel-powered Dell | Cloudera Apache Hadoop Solution. Engineers can also develop new threat-detection processes faster.

What can a Dell big data solution do for you? If you’re an IT manager, you can implement a big data infrastructure with less risk by using standards-based components that can reduce deployment timeframes, accelerate system performance and boost IT staff efficiency. Chief marketing officers can increase competitiveness, agility and marketing spend by speeding insight into new and existing data sources, consumer trends and ROI. Chief financial officers can cut TCO, avoid forklift replacements and minimize licensing costs with end-to-end solutions that have already been tested and certified.

Learn more about what you can achieve with a Dell big data solution:

Read the Dell Big Data: Hadoop eBook

View the Dell Big Data: Hadoop Video

Visit the Dell Big Data: Hadoop Website

About the Author: Armando Acosta

Armando Acosta has been involved in the IT Industry over the last 15 years with experience in architecting IT solutions and product-marketing, management, planning, and strategy. Armando’s latest role has been focused on Big Data|Hadoop solutions, addressing solutions that build new capabilities for emerging customer needs, and assists with the roadmap for new products and features. Armando is a graduate of University of Texas at Austin and resides in Austin, TX.