Published By: Panduit
Published Date: Sep 03, 2015
Capacity planning is one of the most difficult aspects of building a data center today, given the complexity and number of variables to consider.
This new White Paper, from leading solutions and innovation provider Panduit, brings fresh insight into the central issues facing data center planners both for initial “build” and for future growth, with valuable “real life” examples drawn from actual customer case studies.
Download now to understand how best to:
• Avoid capacity fragmentation: identify areas of “lost” or “stranded” capacity
• Establish “best fits” for capacity in your center
• Maintain equilibrium between the four critical elements of any effective data center management plan
• Implement proactive planning: speed decision-making and deployment
• Optimize existing resources
• Improve data center operations and efficiency
• Reduce OPEX
• Avoid unnecessary CAPEX by extending the life of your center.
It has been obvious for some time that the power distribution system within the data center is the key opportunity to focus upon in order to actively manage the rising costs of power and more specifically, identify problems and waste in real-time.
With future-thinking organizations sharing knowledge between Facilities and IT, the push for more intelligence within this rack-based power infrastructure has become urgent with higher rack power densities. In fact, proactive power management at all stages in the distribution chain within enterprise data centers has become the requirement to feed efficiency studies and data center infrastructure management (DCIM) style optimization initiatives.
Published By: Datastax
Published Date: May 14, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications.
A cloud application is one with many endpoints including browsers, mobile devices,
and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application.
Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
Published By: Datastax
Published Date: May 14, 2018
The data management practices of old will no longer work. If you’re still trying to use a centralized approach, you are probably finding it difficult to keep up with the real-time demands of the Right-Now Economy. This special Gartner report describes the main drivers for modernizing data management — operational efficiency and analytics — and explains why balancing connecting data with collecting data will be a fundamental requirement for modern data management moving forward.
Published By: Aviatrix
Published Date: Jun 11, 2018
Once you've designed and secured your Global Transit Network, are you done? Are you ready to hand day-to-day responsibility over to an operations team? Or, are there other elements you need to ensure that the day-to-day operation of your transit hub is efficient and effective?
As part of our fact-filled AWS Bootcamp series, Aviatrix CTO Sherry Wei and Neel Kamal, head of field operations at Aviatrix, demonstrate the best practices they've gleaned from working with operations teams, all who require:
• Visibility: Do you have a way to centrally view your network, see performance bottlenecks, control security policies, and set other configuration details?
• Deep Analytics: Can you easily gather performance and audit data and export it to Splunk, DataDog, or other advanced reporting tools?
• Monitoring and Troubleshooting: Do you have a real-time view of network health, and how easily can you access the data needed to locate and fix issues?
• Alert Management: When issues do occur, what r
As cycles accelerate and timelines shorten, projects are being recognized—by necessity— as the delivery arm for strategy. In this environment, anything less than real-time access to real-time project data is too slow, because businesses need to know where they’re heading, not just where they’ve been. CA Project & Portfolio Management (CA PPM 15.3) has added new capabilities to support project, financial and resource management across individual initiatives and entire portfolios. We’ve also built new, embedded BI capabilities that make powerful data and insights more accessible to everyone.
Whether you are running fleet maintenance using standalone software, pen and paper, or logging detailed spreadsheets, you may be missing a critical piece – the ability to receive real-time data from vehicles. That’s where telematics comes to play.
There are hundreds of factors, both expected and unexpected, that could upend your day-to-day maintenance operations resulting in costly vehicle downtime and missed routes. While you can manage fleet preventive maintenance manually, investing in a software solution can automate much of the oversight and management process for fleet maintenance.
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations.
Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
Effective workload automation that provides complete management level visibility into real-time events impacting the delivery of IT services is needed by the data center more than ever before. The traditional job scheduling approach, with an uncoordinated set of tools that often requires reactive manual intervention to minimize service disruptions, is failing more than ever due to todays complex world of IT with its multiple platforms, applications and virtualized resources.
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios:
Keeping track of essentials such as scalability and availability.
Making sure your app delivers consistent service to multiple customers.
Delivering data in real time, across the globe, without the complexities of multiple datacenters.
Creating actionable insights from big data.
Incorporating artificial intelligence into your apps.
Locking down security while building in the cloud.
The spatial analytics features of the SAP HANA platform can help you supercharge your business with location-specific data. By analyzing geospatial information, much of which is already present in your enterprise data, SAP HANA helps you pinpoint events, resolve boundaries locate customers and visualize routing. Spatial processing functionality is standard with your full-use SAP HANA licenses.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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