Virtualization is rapidly changing the way business IT operates, from small local businesses to multinational corporations. If you are reading this, chances are good that your company is already taking advantage of virtualization’s benefits.
Virtualization means that a single underlying piece of hardware, such as a server, runs multiple guest operating systems to create virtual machines, or VMs, with each of them being oblivious to the others. An administrative application, such as VMware, manages the sharing process, allocating hardware resources, memory, and CPU time to each VM as needed. And all applications look at this software construct exactly as if it were a real, physical server — even the VM thinks it’s a real server!
Virtualization makes good financial sense. It enables a single server to offer multiple capabilities that otherwise would require separate servers. It includes native high availability features, so you don’t have to use any more complex clustering tools. This ab
Apache® Spark™ has become a vital technology for
development teams looking to leverage an ultrafast
in-memory data engine for big data analytics. Spark
is a flexible open-source platform, letting developers
write applications in Java, Scala, Python or R. With
Spark, development teams can accelerate analytics
applications by orders of magnitude
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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.
Published By: HPE Intel
Published Date: Jan 11, 2016
The world of storage is being transformed by the maturing of flash arrays, an approach to storage that uses multiple, solid state flash memory drives instead of spinning hard disk drives. An all-flash array performs the same functions as traditional spinning disks but in a fraction of the time required and in more compact form factors. Given its superior performance in certain contexts, all-flash arrays are experiencing strong industry adoption. However, best practices and a true understanding of key success factors for all- flash storage are still emerging. This paper is intended to educate you on best practices based on real user experience drawn from ITCentralStation.com. We offer all-flash user advice in selecting and building the business case for a flash array storage solution.
Over the past several years, the IT industry has seen solid-state (or flash) technology evolve at a record pace. Early on, the high cost and relative newness of flash meant that it was mainly relegated to accelerating niche workloads. More recently, however, flash storage has “gone mainstream” thanks to maturing media technology. Lower media cost has resulted from memory innovations that have enabled greater density and new architectures such as 3D NAND. Simultaneously, flash vendors have refined how to exploit flash storage’s idiosyncrasies—for example, they can extend the flash media lifespan through data reduction and other technique
Your growing business shouldn't run on aging hardware and software until it fails. Adding memory and upgrading processors will not provide the same benefits to your infrastructure as a consolidation and upgrade can. Upgrading and consolidating your IT infrastructure to the Dell PowerEdge VRTX running Microsoft Windows Server 2012 R2 and SQL Server 2014 can improve performance while adding features such as high availability.
No matter your line of business, technology implemented four years ago is likely near its end of life and may be underperforming as more users and more strenuous workloads stretch your resources thin. Adding memory and upgrading processors won't provide the same benefits to your infrastructure as a consolidation and upgrade can. Read this research report to learn how upgrading to Dell's PowerEdge VRTX with Hyper-V virtualization, Microsoft Windows Server 2012 R2, and Microsoft SQL Server 2014 could reduce costs while delivering better performance than trying to maintain aging hardware and software.
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making.
Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
Dell Virtual SAN Ready Nodes with Horizon abstract and aggregate compute and memory resources into logical pools of compute capacity, while Virtual SAN pools server-attached storage to create a high-performance, shared datastore for virtual machines.
SAP S/4HANA is the next generation of SAP ERP. Taking full advantage of the SAP HANA in-memory platform, SAP S/4HANA promises to bring big innovations and benefits to enterprises. But when it comes to deployment, what are the strategies available?
Published By: Oracle CX
Published Date: Oct 19, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security.
The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost