A Data Warehouse is a computer system designed for archiving and analyzing an organization's historical data, such as sales, salaries, or other information from day-to-day operations. Normally, an organization summarizes and copies information from its operational systems to the data warehouse on a regular schedule, such as every night or every weekend; after that, management can perform complex queries and analysis on the information without slowing down the operational systems.
This national children's hospital relies on a big data platform to better understand its patients, their conditions, and the quality of care they receive in support of its mission: to make kids better today and healthier tomorrow.
The most direct path to making Big Data -- and Hadoop -- a first-class citizen will be through an "embrace and extend" approach that not only maps to existing skill sets, data center policies and practices, and business use cases, but also extends them.
For an implementation of its size, Western Union anticipated going from “zero to Hadoop” in about a year. Exceeding expectations, “We had our first production-ready Cloudera system up within just five months,” commented Saraf. “We were actually leveraging it for some of our transactional processing, and saw immediate value.”
Merkle employs an analytically led, data-driven methodology and an enterprise data hub (EDH) from Cloudera to help large consumer brand clients build and sustain profitable customer relationships through smarter marketing.
The greatest promise of the information-driven enterprise resides in the business-relevant questions financial services firms have historically been unable or afraid to ask, related to data consolidation and multi-tenancy, full-fidelity analytics and regulatory compliance, and Big Data.
Cloudera has been included as a Challenger in Gartner's 2015 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, following last year’s debut as the only included pure-play Hadoop distribution vendor.
This major Hollywood studio wanted to improve the computer time required to render animated films. Using HPC solution powered by Platform LSF increased compute capacity allowing release of two major feature films and multiple animated shorts.
Packed with everything you need to know about Hadoop analytics, this handy guide provides you with a solid understanding of the critical big data concepts and trends, and suggests ways for you to revolutionize your business operations through the implementation of cost-effective, high performance Hadoop technology.
This in depth study addresses questions, such as “Is their enough physical space to install the fibers I need?” “Can I install the topology needed and still provide room for future expansion and ensure adequate fiber protection?”
The term “Big Data” has become virtually synonymous with “schema on read” unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc.
If the data center is the heart of the organization then the data center operators are the eyes. But today’s complex business environments also demand agility and flexibility to meet the requirements of your organization. Download this free paper to improve the data center visibility in your organization.
Proactive capacity management ensures optimal availability of four critical data center resources: rack space, power, cooling and network connectivity. All four of these must be in balance for the data center to function most efficiently in terms of operations, resources and associated costs.