database security

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Published By: Oracle CX     Published Date: Oct 19, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle CX
Published By: IBM APAC     Published Date: Sep 25, 2017
Industry convergence is collapsing the barriers between formerly distinct industries. According to “Redefining Connections: Insights from the Global C-suite Study – The CIO Perspective,” produced by the IBM Institute for Business Value, CIOs believe this is the biggest trend transforming the business arena.
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organizational security, site security, communication security, application security, database security, software licensing, installation
    
IBM APAC
Published By: Workday Nordics     Published Date: Apr 09, 2018
As May 25th, 2018 approaches, many of the organisations that I speak to are choosing to modernise their HR systems to help with their compliance efforts. In particular, where organisations have a complicated mix of different HR systems and spreadsheets, with employee data spread across different databases managed by multiple security models, GDPR compliance will be more difficult. Contrast such a complicated mix of HR systems with Workday’s unified, single system approach to HR, with a single source of HR data and a single security model, and you can see why organisations are choosing to move to Workday as they work to both modernise their HR systems and move towards GDPR compliance. We hope you find this research an i
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Workday Nordics
Published By: CA Technologies EMEA     Published Date: Sep 14, 2018
Data security risk caused by third parties is a pervasive problem. Yet, many organizations granting remote privileged access to third-party users leave gaps that represent significant security risks. If you’re like most organizations today, you frequently grant vendors, contractors and other non-staff members access to internal networks and systems. These privileged users remotely administer your operating systems, databases or applications using their own endpoint devices. Download the eBook to learn the five best practices to control security risk brought on by third parties.
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CA Technologies EMEA
Published By: Oracle ODA     Published Date: Dec 06, 2016
IT leaders must consider new approaches to database administration, implementation, and security, including proactive management, to reduce time-consuming administrative tasks. This, in turn, will free them to develop strategies for capitalizing on the new data-driven initiatives that can help transform the enterprise. Learn more about these opportunities as well as how products, such as an integrated Database Appliance, can streamline the management of these tasks, while reducing costs and time.
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Oracle ODA
Published By: Workday     Published Date: Jul 19, 2017
Multi-tenancy is a key feature of Workday and enables multiple customers to share one physical instance of the Workday system in a highly secure environment. Multi-tenancy is enabled through the Workday Object Management Server (OMS). Workday OMS allows servers to host multiple customer tenants simultaneously and builds “security walls” between each of the tenants. Thanks to Workday OMS, there is no way for any worker in one tenant to access the information of another tenant. Workday delivers its software using a continuous development model. Builds are rolled out weekly that contain new features, bug fixes, or performance improvements. Twice a year, Workday takes all the features put into preview and releases them to production for all customers. Workday customers are never landlocked on an old release, and all customers can utilize new features for the products they purchased as soon as they are live.
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organizational security, site security, communication security, application security, database security, software licensing, installation
    
Workday
Published By: CA Technologies     Published Date: Aug 22, 2017
Data is the most valuable asset a business has, and the most important data lives on the mainframe. This critical information fuels the new apps and services that differentiate your business. And it’s rapidly growing, with each new app creating a new source of data. What’s more, usage demands are increasing as developers seek access to mainframe-based data to promote innovation.
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database, administration, management, performance optimization, sla, ca technologies, security
    
CA Technologies
Published By: TIBCO Software APAC     Published Date: Aug 15, 2018
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms. Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
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TIBCO Software APAC
Published By: IBM     Published Date: Apr 24, 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.
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risk management, vulnerability management, asset security, database accuracy, enterprise security, security solutions
    
IBM
Published By: mindSHIFT     Published Date: Nov 29, 2007
Have you adjusted your data retention policies and electronic discovery procedures to comply with the new Federal Rules of Civil Procedure (FRCP)? Learn how email archiving can help you with these electronic discovery requirements.
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frcp, secure content, secure data, data protection, database security, compliance, frcp compliance, data governance, e-discovery, legal, law firm, mindshift, data management
    
mindSHIFT
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: Symantec     Published Date: Nov 24, 2014
This IDC Executive Brief will discuss the evolution and challenges of data protection for virtual environments and how a modern data protection solution can enable both virtualization professionals and storage managers to perform successful backups, but more importantly guaranteed restores. Benefits and challenges of data protection for virtual environments will be discussed, as well as emerging best practices for unified data protection.
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unified data protection, database security, security
    
Symantec
Published By: Symantec     Published Date: Nov 24, 2014
This IDC Executive Brief will discuss the evolution and challenges of data protection for virtual environments and how a modern data protection solution can enable both virtualization professionals and storage managers to perform successful backups, but more importantly guaranteed restores. Benefits and challenges of data protection for virtual environments will be discussed, as well as emerging best practices for unified data protection.
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unified data protection, database security, security
    
Symantec
Published By: Symantec     Published Date: Nov 24, 2014
This IDC Executive Brief will discuss the evolution and challenges of data protection for virtual environments and how a modern data protection solution can enable both virtualization professionals and storage managers to perform successful backups, but more importantly guaranteed restores. Benefits and challenges of data protection for virtual environments will be discussed, as well as emerging best practices for unified data protection.
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unified data protection, database security, security
    
Symantec
Published By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
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data integration, data security, data optimization, data virtualization, database security
    
IBM APAC
Published By: Mimecast     Published Date: Mar 13, 2017
The European Union’s General Data Protection Regulation (GDPR) is triggering a change in how organizations need to protect personal data, including data contained in email and contact databases. Regardless of your organization’s physical location, you must be in GDPR compliance for EU resident personal data by May 2018—or face dire consequences. Download the White Paper, to learn: • Why compliance requires unprecedented levels of effort if you control or process personal data • What specific security, privacy, and protection measures you need to take to comply with GDPR • How a majority (58%) of mid-sized and large organizations have a poor understanding of the wide scope of the regulation and its associated penalties
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Mimecast
Published By: IBM     Published Date: Nov 30, 2016
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloud, cloudant managed service, cloudant local, apache couchdb, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloud, analytics, cloudant managed service, cloudant local, apache couchdb, databases, enterprise applications
    
IBM
Published By: IBM     Published Date: Jun 08, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, linux, windows, telecommunications, healthcare, oracle database
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, enterprise data, windows, linux, telecommunications, healthcare, consumer banking
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, enterprise database, oltp, telecommunications, healthcare, consumer banking
    
IBM
Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today Download The Report If You: -Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists. -Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking. -Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
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Datastax
Published By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
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