Published By: Dell EMC
Published Date: Nov 08, 2016
Time-to-market, consolidation, and complexity struggles are a thing of the past. Join yourpeers in database storage nirvana with the Dell EMC All-Flash portfolio, powered by Intel® Xeon® processors.
Published By: Dell EMC
Published Date: Feb 23, 2017
Want to join your peers in database storage nirvana? Learn how many organizations have benefited from the Dell EMC All-Flash portfolio, powered by Intel® Xeon® processors—and how it can help you can solve the most common database storage challenges: Time-to-market, consolidation, and complexity.
To compete in today’s fast-paced business climate, enterprises need
accurate and frequent sales and customer reports to make real-time
operational decisions about pricing, merchandising and inventory
management. They also require greater agility to respond to business
events as they happen, and more visibility into business activities so
information and systems are optimized for peak efficiency and performance.
By making use of data capture and business intelligence to
integrate and apply data across the enterprise, organizations can capitalize
on emerging opportunities and build a competitive advantage.
The IBM® data replication portfolio is designed to address these issues
through a highly flexible one-stop shop for high-volume, robust, secure
information replication across heterogeneous data stores.
The portfolio leverages real-time data replication to support high
availability, database migration, application consolidation, dynamic
warehousing, master data management (MDM), service
A hardware and software system specifically designed for the database software to optimize database operations, both for performance and administrative simplicity. An environment that supports workload consolidation, thereby reducing the number of physical servers required for the databases in question.
Benefits: Reduced cost and optimal performance.
XtremIO all-flash-arrays (AFAs) have redefined everything you know about SQL Server database infrastructures. Through a ground-breaking, fresh approach to storage design, XtremIO is uniquely engineered for SQL Server database requirements utilizing a powerful and vastly simplified scale-out performance architecture, with in-memory always-on compression, deduplication and space efficient copy services enabling application acceleration, consolidation and agility.
Published By: PC Mall
Published Date: Mar 03, 2012
As processor, memory, and disk technology have improved, HP ProLiant G7 servers have become ideal platforms for consolidating applications with virtual machines. Find out about HP 3G SATA hot plug solid state disks!
Published By: Quest Software
Published Date: Jul 28, 2011
In this white paper Quest's data protection experts offer five tips for effective backup and recovery to help you avoid the challenges that might keep you from fully protecting your virtual assets and infrastructure.
Published By: Oracle Corp.
Published Date: Oct 15, 2012
During this webcast Kamal Tbeileh, Sr. Principal Product Manager at Oracle, will discuss database access control best practices for all database users, including highly privileged users using Oracle Database Vault.
Published By: Stratavia
Published Date: May 21, 2008
This document provides an overview of data center consolidation methodologies, the general impact of each method, and how Stratavia’s Data Palette helps data center consolidation initiatives.
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for
the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too.
Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and
discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the
right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too.
Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data.
To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too.
Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data.
To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Read this guide to learn how HP works closely with organizations throughout the entire consolidation process which results in reduced costs, improved database administration, enhanced service levels to end users, and improved communication/collaboration.
This white paper outlines the components of the Banking Data Warehouse (BDW) and how they assist financial institutions in addressing the data modeling and data consolidation issues relating to the SOX regulations.
s your information technology (IT) organization pressured to get more work done with fewer people or on a constricted budget? Do you need to make IT a competitive asset rather than a cost center? Does your business struggle with slow software applications or data that's too often unavailable? If you answered "yes" to any of these questions, it's time to take a close look at Oracle Exadata, the world's fastest database machine exclusively designed to run Oracle Database. It is the first database machine optimized for data warehousing, online transaction processing (OLTP), and database consolidation workloads as well as in-memory databases and database as a service (DBaaS).
