-memory databases have moved from being an expensive option for exceptional analytics workloads, to delivering on a far broader set of goals. Using real-world examples and scenarios, in this guide we look at the component parts of in-memory analytics, and consider how to ensure such capabilities can be deployed to maximize business value from both the technology and the insights generated.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
Increasing risks and cyber threats make IT security a high priority. Oracle’s SPARC S7, T7, and M7 Servers with always-on memory intrusion protection and comprehensive data encryption secure your data with no performance penalty. Oracle’s Software in Silicon technology and Oracle Solaris protect data in memory from unauthorized access and stop malware before it gets in.
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of
late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory
column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration
technology does exactly that. While BLU isn't brand new, the ability to spread the column store across
a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology.
That, along with simpler monthly pricing options and integration with dashDB data warehousing in the
cloud, makes DB2 for LUW, a very versatile database.
As data constantly changes and expands, data centers increasingly face capacity, performance, and cost limitations related to existing memory and storage solutions. Intel Optane data center (DC) technology addresses these challenges by placing data closer to the CPU and closing the gap between traditional memory and storage options, thus transforming the memory and storage tier.
As the first major memory and storage breakthrough in 25 years, Intel Optane technology combines industry-leading low latency, high endurance, QoS, and high throughput that allows the creation of solutions to remove data bottlenecks, and unleash CPU utilization. With Intel Optane technology, data centers can deploy bigger and more affordable datasets to gain new insights from large memory pools.
Here are just ten way Intel Optane technology can make a difference to your business.
To find out more download this whitepaper today.
Founded in 1997, Benchmark Senior Living is the largest senior living provider in New England. The community in Shelton, Connecticut is just a short drive from the Connecticut coastline—the Split Rock community is home to about 50 assisted living and memory care residents. In addition to being a LEED-certified facility, Split Rock also exemplifies Benchmark Senior Living’s goal to leverage technology to enrich the lives of residents. To that end, the facility incorporates a range of communication technologies to promote engagement with family and the community.
Read this case study to learn about how Benchmark Senior Living selected an integrated solution from STANLEY Healthcare and STANLEY Security encompassing emergency call from portable pendants and fixed call points, wander management, environmental monitoring and access control to improve resident's lives.
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!
Information technology is undergoing rapid change as organizations of all types begin to embrace the idea of
moving computing infrastructure from on-premises to the cloud. It is easy to understand why the cloud has taken
off faster than any technology phenomenon in recent memory. The cloud has the potential to reduce total cost of
ownership (TCO) while enabling quicker responses to fast-moving markets and ever-changing customer needs.
“Being able to flex your compute resources based on changes in volume and customer demand increases agility,
making going to the cloud a very attractive proposition for our customers,” says Brian Johnston, chief technology
officer for QTS in Overland Park, Kansas, a provider of data center solutions and fully managed services.
Organizations no longer have to wait months or years to deploy an all-flash storage array into their environment to host their applications. The technologies in this most recent iteration of the HP 3PAR StoreServ 7450 ensure that organizations get the performance they need, the cost at which they need it and the platform stability to offer it up to as many applications as they see fit. By taking advantage of the HP 3PAR StoreServ 7450 platform, organizations may confidently begin their journey into the all-flash world of tomorrow today with the knowledge that it will meet their various manageability, performance and scalability requirements along the way.