The Constellation AstroChartTM supplies a visual guide of the trends impacting Data to Decisions. After
assessing boardroom priorities, organizations should employ AstroCharts to inform
This report contains two AstroCharts: one identifying Business Trends and one identifying Technology
Trends. The AstroCharts’ vertical axes plot “Organizational Adoption” rates from Mainstream to
Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an
organization’s business model, from Incremental to Transformational to Exponential. The Constellation
AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the
dynamics impacting the entire market.
This report applies Constellation’s AstroChart to the Constellation’s business theme of Data to
Decisions. This research domain examines the enablement of data-driven decisions across organizations.
Holistic, data-informed decisions require a multidisciplin
Published By: PernixData
Published Date: Jun 01, 2015
In this webinar, PernixData Product Manager, Todd Mace, is joined by Anthony Spiteri, the lead architect at Cloud provider Zettagrid, to discuss how PernixData FVP software became an integral part of Zettagrid’s infrastructure and offloaded millions of IOs from the SAN to improve application performance and user satisfaction.
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many
of them are turning to in-memory data grids (IMDGs).
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
IT departments are always being asked to deliver more for less. SOA has garnered widespread attention because it promises to do just that - deliver more business benefit while reducing costs. This is why Oracle has developed a pragmatic approach.
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER.
Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution:
• Cost-benefit analysis
• Challenges of integrated DERs
• Planning considerations
• Advanced analytics tools and predictive grid analytics benefits
• Choosing a platform
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including:
Transport Network Equipment
Outside Fiber Plant
Reliability, Redundancy, and Protection
Services, Operation, Program Management, and Maintenance
Download our white paper to learn more."
In today’s increasingly mobile world, Energy workers require instant communication and access to data intelligence wherever the job
may take them. From the oil rig to the electric grid and everywhere in between, having the right data, in the right hands, at the right time,
no matter the environment or device of choice — is simply non-negotiable. Organizations across various Energy segments — oil & gas,
electric utilities, water utilities, and mining — are currently juggling a mix of communication devices and are hindered by gaps in coverage,
poor battery life and fragile equipment that cannot withstand harsh environmental conditions.
Yet, citizens rely on their homes being heated in the winter, on clean running water, and on lights that turn on when they flip the switch.
Meeting these expectations requires reliable, clear voice and data communications for Energy workers day-in and day-out. So oil & gas
workers can communicate safely in hazardous environments. So precious resources are
The recent release of the Environmental Protection Agency (EPA) study on data center energy efficiency is adding fuel to the fire in the research and development of new ways to reduce energy use in centers. The findings, summarized on the EPA website, are staggering: Data centers consumed about 60 billion kilowatt-hours (kWh) in 2006, roughly 1.5 percent of total US electricity consumption -Energy consumption of servers and data centers has doubled in the past five years and is expected to almost double again in the next five years to more than 100 billion kWh, costing about $7.4 billion annually.
Designed for CIOs, IT managers, data center managers and grid computing architects seeking to improve performance, SAS Grid Computing on the HP BladeSystem. C-Class helps accelerate growth and mitigate risks with a simplified, consolidated infrastructure that’s agile enough to efficiently handle change. SAS Grid Manager on HP BladeSystem can lower costs through automation, virtualization and improved IT efficiency. Download HP's "Quick Sizing Guide for SAS Grid running on HP BladeSystem and EVA Storage" to learn more about the equipment needs to deploy SAS Grid Manager on HP BladeSystem.
SAS Grid Computing delivers enterprise-class capabilities that enable SAS applications to automatically leverage grid computing, run faster and takes optimal advantage of computing resources. With grid computing as an automatic capability, it is easier and more cost-effective to allocate compute-intensive applications appropriately across computing systems. SAS Grid Manager helps automate the management of SAS Computing Grids with dynamic load balancing, resource assignment and monitoring, and job priority and termination management.
Published By: Microsoft
Published Date: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its
existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft
terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship
cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and
industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas
recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform
providers are rethinking databases for scalable, elastic environments and commodity infrastructure.
The platform that is most comparable is Google Cloud Spanner, but each of these databases is
engineered for different purposes: Cosmos DB as a globally distributed operational database and
Spanner as a globally distributed SQL-supporting OLTP database.
The highlights of Cosmos DB include its flexibility in
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are:
• Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime.
• Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets.
Download now to learn more!
This white paper, authored by industry analyst IDC, explores the problems confronting IT organizations today as they seek to bring data together from disparate sources in order to achieve better information coherence, operational efficiency, and more effective overall governance. Specifically, the paper considers the problems posed by the complexity of "data integration" technology in terms of its configuration and maintenance. It looks at the utility of a grid computing approach in providing scalability and manageability for "data integration" and considers how an appliance approach can further reduce cost and risk for customers.