data system

By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.

Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.

Securing sensitive data presents a multi-dimensional challenge where complex environments—which often include a wide range of heterogeneous database management systems (DBMS), enterprise applications, big data platforms, file systems, OS platforms with multiple access paths and permission levels—have created a seemingly end-less array of security risks and violation scenarios. This data security ebook examines the top 5 scenarios and essential best practices for defending against insider threats and external attacks.

Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be

There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018. Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage? • Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once

If you need to deploy and scale applications faster to increase revenue, Cisco’s integrated infrastructure solutions can help you achieve your goals—and reduce risk. Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System™ (Cisco UCS®) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.

CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.

The perimeter continues to dissolve, and the definition of endpoint is evolving, according to results of the SANS 2016 Endpoint Security Survey, now in its third year. As we might expect, 90% or more consider desktops, servers, routers, firewalls and printers to be endpoints that need to be protected. After that, respondents include other less-typical devices in their definition of endpoints that warrant protection: 71% include building security (access/ surveillance), 59% include employee-owned mobile devices and 40% consider industrial control systems as endpoints that need to be protected. Some respondents also consider POS devices, smart cars, emulated endpoints in the cloud and wearables as endpoints needing protection, highlighting the diversity of thinking among respondents.

The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.

Today, it’s unlikely that a single database will meet all your needs. For a variety of reasons—including the need to support cloud-scale solutions and increasingly dynamic app ecosystems—startups and enterprises alike are embracing a wide variety of open source databases. These varied databases—including MongoDB, Redis and PostgreSQL— open doors to building sophisticated and scalable applications on battle-hardened, non-proprietary databases.

Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.

Many new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data. To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.

You can have all the latest features of iOS 8 on your iPhone, but if you’re still using an iPhone 4s, you won’t be able to take advantage of most of them. This should serve as an appropriate metaphor for this audience because when it comes to data storage, many of today’s storage solutions have been around since the 1970s…as in the the world of mobile, today’s data storage needs are revealing just how limited those older solutions are. Even if a company has updated almost everything in its IT ecosystem, it takes only one unchanged layer to prevent them from realizing the benefits of the latest technology. With petabyte scale, reliability, performance, and efficiency the order of the day we are fast approaching that point with storage. There is without question a need to change in the current storage paradigm. In this webinar you will learn about current IT storage challenges and useful insights about next-generation storage solutions.

Finding a better place to store an ever-expanding volume of valuables is a near universal challenge—for individuals and their businesses. From physical holes in the ground to the ethereal cloud and beyond, the range of options for stashing stuff is immense. And, depending on what you’re storing and how easily you want others to find it, some options are better than others. Read this white paper to learn how a Network Attached Storage (NAS) system provides the customization, speed, ease-of-use, security and affordability needed to protect and share digital assets for many small business owners.

This white paper, based on a survey of database professionals, examines the problems facing many large businesses that are attempting to remain agile while dealing with a mountain of data under management.

Sybase's Adaptive Server® Enterprise (ASE) is a high performance relational database management system for mission-critical, data intensive environments that has been meeting these needs for nearly three decades.

Download this white paper for analysis of survey results that compare TCO of Sybase ASE compared to Oracle.

This webcast discusses the technical benefits of Sybase ASE's compression technology. Watch the recording to learn more and to hear about use cases, strategies for data migration and a look at the performance implications.

This paper presents an overview of iSeries high availability to companies that are beginning to explore this powerful business continuity technology. The critical components of high availability solutions are detailed in this paper, including data replication engines, system monitors, role swap capabilities, and the importance of autonomic processes.

Journaling? RAID? Vaulting? Mirroring? High availability? Know your data protection and recovery options! Download this information-packed 29-page report that reviews the spectrum of IBM i (i5/OS) and AIX resilience and recovery technologies and best practices choices, including the latest, next-generation solutions.

For IT departments looking to bring their AIX environments up to the next step in data protection, IBM’s PowerHA (HACMP) connects multiple servers to shared storage via clustering. This offers automatic recovery of applications and system resources if a failure occurs with the primary server.

This paper describes a series of tests run to determine the viability of continuous data protection (CDP) using InMage DR Scout along with Agami Systems AIS 3000 series of unified storage systems.

A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.

For advanced signaling over high-loss channels, designs today are using equalization and several new measurement methods to evaluate the performance of the link. Both simulation and measurement tools support equalization and the new measurement methods, but correlation of results throughout the design flow is unclear. In this paper a high performance equalizing serial data link is measured and the performance is compared to that predicted by simulation. Then, the differences between simulation and measurements are discussed as well as methods to correlate the two.

Virtualization can deliver dramatic benefits for data centers, but it can also stress the underlying support infrastructure.  Power and cooling systems—which may have been quite sufficient for pre-virtualization needs—could easily become inadequate when data center performance patterns are radically altered.  This paper describes some of power challenges related to virtualization—and the readily available technologies to address them.