White Paper Published By: Vertica
Published Date: Mar 15, 2010
In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in
hardware, storage and operational costs.
White Paper Published By: Vertica
Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
White Paper Published By: Vertica
Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
Case Study Published By: Vertica
Published Date: Jan 19, 2010
Pink OTC Market Inc. is the third largest U.S. equity trading marketing place. Learn how Pink OTC built a highly available and highly reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
White Paper Published By: Vertica
Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
Case Study Published By: Vertica
Published Date: Dec 09, 2008
BlueCrest Capital Management is a leading European hedge fund, with $15B in assets-under-management. Learn how BlueCrest uses Vertica Analytic DBMS to obtain real-time analysis while simultaneously loading vast amounts of new market data.
White Paper Published By: Vertica
Published Date: Dec 01, 2008
Cloud computing is ushering in a new era of analytic data management for business intelligence
(BI) by enabling organizations to analyze terabytes of data faster and more economically than
ever before. The key change: cloud database software is provisioned within minutes, without data
center overhead, and it's licensed on an on-demand basis.
Case Study Published By: Vertica
Published Date: Jul 23, 2008
Read how Comcast, the largest cable communications company in the U.S., is using Vertica Analytic DBMS able to quickly collect and analyze data being generated by millions of network devices to ensure quality of service and accuracy of capacity planning to ensure a consistently good customer experience.
Christian Kane is an Enterprise Mobility Management Research Analyst with Forrester Research, where he helps clients develop and improve their desktop and mobile strategy. His research spans mobile hardware, mobile operating systems, mobile device management solutions, and mobile applications.
White Paper Published By: Visible
Published Date: Aug 21, 2009
The biggest problem facing CIO's today is their existing applications. This paper describes the problem and describes our permanent solution, Enterprise Application Integration.
Whether your data loss is accidental or malicious, you need to gain insight into the magnitude of your data loss problem, identify security gaps, and develop a proactive approach to stop data loss before it happens.
White Paper Published By: webMethods
Published Date: Aug 21, 2009
Selecting the right business integration vendor is a challenge. While it is essential to focus on what is critical for your company, it is also important to evaluate vendors using a common set of metrics. This document uses customer feedback taken from a broad portfolio of evaluations to offer key factors and considerations to use when selecting an integration software vendor.
White Paper Published By: Winshuttle
Published Date: Dec 04, 2006
This paper describes how to easily integrate Excel data with SAP solutions and the resulting benefits from such integration – reduction in financial closing time, reduction in data entry resources, and availability of timely data for reporting.
White Paper Published By: Winshuttle
Published Date: Dec 04, 2006
This paper describes some of the best practices that many companies have adopted and are able to make mass changes to SAP data in record time with minimal resources.
White Paper Published By: Winshuttle
Published Date: Dec 04, 2006
This white paper describes how many companies are realizing significant productivity gains by empowering the business users with tools to transfer their own data between spreadsheets and SAP.
White Paper Published By: Winshuttle
Published Date: Dec 04, 2006
This paper describes 7 best practices that many companies have adopted in automating the upload of Excel data into SAP. Adopting these best practices will alleviate many of the pains that business users and IT analysts face in uploading Excel data to SAP.
Business Intelligence Software are applications that build on existing data warehouses and provide analytical processing tools that allow users to more effectively analyze such data. This, in turn, permits businesses to more rapidly develop existing and new analyses and reports for improved decision-making power and information dissemination capacity.
ROI is based on the analysis of differential cash flows. In the case of remote data acquisition and aggregation systems for fuel tank operators, it is based on calculating the cost of acquiring and aggregating the data manually and compared to the total cost of owning, maintaining and operating an automated data acquisition and aggregation system.
Companies that purchase fuels, chemicals, solvents and other products often have to make a choice: either reduce costs by keeping inventory levels low, risking run-outs and lost sales, or keep enough surplus inventories on hand to be prepared for unforeseen spikes in product demand, which tends to drive up inventory costs and market price risks.
White Paper Published By: Zebra
Published Date: Oct 12, 2011
Re-pricing products in the store has become a strategic tool that retailers apply to increase traffic and sales. This white paper explains how retailers are profiting from mobile markdown printing and how stores can leverage different printing applications to create more value.