data solutions

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By: IBM     Published Date: Oct 06, 2015
Learn how IBM can help you proactively safeguard your data, productivity, and reputation.
Tags : ibm, data protection, security, data security, ibm solutions, productivity, reputation
     IBM
By: IBM     Published Date: Oct 14, 2015
If you haven’t looked at enterprise search technology in a while, it’s time to give it another look. This report details their findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help application development and delivery (AD&D) professionals select the right solution to grace their enterprise with the power of knowledge on demand.
Tags : ibm, forrester, knowledge discovery solutions, big data, enterprise, search technology, application development, networking, security, software development, enterprise applications
     IBM
By: IBM     Published Date: Nov 09, 2015
In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative.
Tags : ibm, data warehouse, big data, data management, data center
     IBM
By: IBM     Published Date: Nov 09, 2015
IBM believes the Data Warehouse market continues to expand and adapt to address new requirements for user self-service, increased agility, requirements for new data types, lower cost solutions, adoption of open source, driving better business insight, and faster time to value.
Tags : ibm, data, magic quadrant, data management, analytics
     IBM
By: IBM     Published Date: Nov 09, 2015
This report will discuss the challenges most companies face with managing their data and suggest some strategies and solutions to turn midmarket data into a working asset.
Tags : ibm, analytics, strategy, data, data center
     IBM
By: IBM     Published Date: Nov 16, 2015
As vendors continue to evolve their solutions to fit these changing requirements, IBM remains a leader in this Gartner Magic Quadrant.
Tags : ibm, data warehouse, data management, analytics, gartner, data center
     IBM
By: IBM     Published Date: Apr 18, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : ibm, mdm, big data, ibm infosphere, data management
     IBM
By: IBM     Published Date: Apr 18, 2016
"Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data."
Tags : ibm, mdm, big data, trusted data, data solutions, data management
     IBM
By: IBM     Published Date: Apr 18, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : ibm, big data, trusted data, data management, data solutions
     IBM
By: IBM     Published Date: Jul 12, 2016
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.
Tags : ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi, security
     IBM
By: IBM     Published Date: Oct 18, 2016
The worldwide growth rate of digital data is staggering. If you're a CIO or a data center administrator, data growth statistics aren't just big numbers, they are a big problem -- for your company. Email messages, social media and blog posts, text and instant messages, photos, video and audio, machine-generated data, and transactional detail are on track to overwhelm your storage capacity. Read this paper for practical advice and smarter solutions for managing the information in your organization and getting back to a position of mastery over your data. Get this valuable resource now.
Tags : ibm, analytics, big data, information governance, ecm, information lifecycle governance, enterprise applications, data management, data center
     IBM
By: Group M_IBM Q3'19     Published Date: Aug 20, 2019
Data Security Portfolio Vendors, Q2 2019, is a key industry report for helping security and risk professionals understand and assess the data security solution landscape, and how these solutions can address their business and technology challenges.Download the report to learn why Forrester believes IBM Security Guardium is a good fit “for buyers seeking to centrally reduce and manage data risks across disparate database environments”.The IBM Security Guardium portfolio empowers organizations to meet critical data security needs by delivering comprehensive visibility, actionable insights and real-time controls throughout the data protection journey.
Tags : 
     Group M_IBM Q3'19
By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
Tags : 
     Cisco
By: Cisco     Published Date: Jul 11, 2016
Big data presents tremendous opportunities for every company in every industry. It’s purely a matter of finding the right use cases, the right strategies, and the right partners that can turn those opportunities into real business value. This edition of Unleashing IT highlights the strategies, solutions, and providers that can help you unlock your competitive edge.
Tags : 
     Cisco
By: Cisco     Published Date: Jul 11, 2016
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.
Tags : 
     Cisco
By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
Tags : 
     Cisco
By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
Tags : data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
     IBM
By: IBM     Published Date: Apr 20, 2017
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.
Tags : device management, data solutions, system solutions, data breach, mobile management
     IBM
By: IBM     Published Date: Apr 20, 2017
IBM QRadar and BigFix solutions empower IT security teams to view, prioritize and respond to endpoint intelligence in near real time. How can an organization stay ahead of these advanced security threats? Maintaining a high level of baseline security by consistently enforcing security policies and patch levels on endpoints and servers is definitely required and important. But when networks can have multiple vulnerabilities per IP address at scan time, the slow process of mitigating and patching these weaknesses can result in dangerous security gaps. Today’s IT personnel have to make difficult, risk-based decisions on where to focus their efforts—often without having a complete picture of the security environment. This is even more critical when the number of vulnerabilities across the organization is increasing while the organization has limited resources and skills to fix the vulnerabilities.
Tags : risk management, vulnerability management, asset security, database accuracy, enterprise security, security solutions
     IBM
By: IBM     Published Date: Jun 21, 2017
There are many types of databases and data analysis tools to choose from when building your application. Should you use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft? What about polyglot persistence and the need for advanced analytics? If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions available to meet your app’s unique needs. You’ll see how data can move across databases and development languages, so you can work in your favorite environment without the friction and productivity loss of the past.
Tags : data analysis, key value, document database, analytics
     IBM
By: IBM     Published Date: Jun 21, 2017
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.
Tags : ibm, data base, cloud, scalability, app ecosystem
     IBM
By: IBM     Published Date: Oct 13, 2017
IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned X-Force research, provides security intelligence to help organizations holistically protect their infrastructures, data and applications, offering solutions for identity and access management, database security, application development, risk management, endpoint management, network security and more. These solutions enable organizations to effectively manage risk and implement integrated security for mobile, cloud, social media and other enterprise business architectures. IBM operates one of the world’s broadest security research, development and delivery organizations, monitors 15 billion security events per day in more than 130 countries, and holds more than 3,000 security patents.
Tags : it security, malware, malware protection, virus prevention, ibm, threat intelligence
     IBM
By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
Tags : analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
     IBM
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"DBAs need help with tackling significant issues, including doing more with fewer resources, quickly responding to upgrade and patch needs, while reducing the time spent on cloning databases. Finally, they need help eliminating the time they spend integrating, testing, and deploying full-stack cloud solutions. How can DBAs reconcile these competing demands? Learn more about expanded offerings in a database appliance that are delivering numerous advantages. These new configurations have the potential to help IT derive new benefits in its efforts to serve the business. "
Tags : 
     Oracle PaaS/IaaS/Hardware
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
iPaper makes a case for transitioning from legacy on-prem systems to cloud. It lays out the Oracle Cloud Data Management Solutions that are more efficient and scalable than the competition
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     Oracle PaaS/IaaS/Hardware
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