Automating disaster recovery and disaster recovery testing saves time and budget, plus reduces risk when there is an actual emergency. With weather events, ransomware, and other outages distruping your business, you need a modern disaster recovery solution that really works at time of disaster. Choosing the right disaster recovery solution can be the difference between keeping your business up and running or going dark during an emergency.
Learn hoe the commvault platform for data management provides availability for your business against today's real world outages
Nimble Secondary Flash array represents a new type of data storage, designed to maximize both capacity and performance. By adding high-performance flash storage to a capacity-optimized architecture, it provides a unique backup platform that lets you put your backup data to work.
Nimble Secondary Flash array uses flash performance to provide both near-instant backup and recovery from any primary storage system. It is a single device for backup, disaster recovery, and even local archiving. By using flash, you can accomplish real work such as dev/test, QA, and analytics.
Deep integration with Veeam’s leading backup software simplifies data lifecycle management and provides a path to cloud archiving.
Service virtualization offers a solution. Service virtualization tools simulate software components so end-to-end testing can proceed even when dependent components are not available. That means teams can perform integration tests sooner and more often, accelerating the delivery of high-quality, thoroughly tested applications.
Published By: Oracle CX
Published Date: Oct 20, 2017
This whitepaper explores the new SPARC S7 server features and then compares this
offering to a similar x86 offering.
The key characteristics of the SPARC S7 to be highlighted are:
? Designed for scale-out and cloud infrastructures
? SPARC S7 processor with greater core performance than the latest Intel Xeon E5
? Software in Silicon which offers hardware-based features such as data acceleration
The SPARC S7 is then compared to a similar x86 solution from three different
perspectives, namely performance, risk and cost.
Performance matters as business markets are
driving IT to provide an environment that:
? Continuously provides real-time results.
? Processes more complex workload stacks.
? Optimizes usage of per-core software licenses.
Risk matters today and into the foreseeable future,
as challenges to secure systems and data are
becoming more frequent and invasive from within
and from outside. Oracle SPARC systems approach
risk management from multiple perspectiv
Published By: Delphix
Published Date: May 03, 2016
Today's test data management (TDM) solutions force teams to work with compromised data sets, and push testing to too late in the software development lifecycle. The end result is rework, delayed releases, and costly bugs that cripple production systems. Furthermore, prevailing approaches to test data management - including subsetting, synthetic data, shared environments, and standalone masking--represent flawed solutions that fail across one or more key dimensions.
Published By: Delphix
Published Date: May 03, 2016
Looking to streamline processes across development, test, and operations teams with more efficient Test Data Management (TDM)? Don't let antiquated technology and complex processes stand in the way of fast access to high-quality test data.
Next-generation TDM transforms how businesses deploy testing environments and the way teams work within them, providing both greater flexibility and increased efficiency.
Published By: Prophix
Published Date: May 31, 2016
To have the greatest impact within your company, you need to contribute to strategy rather than focusing on tactical issues. But, to accomplish this means that you have to tap into your company's financial performance and unearth insights that will help senior leaders make better decisions. This “From Tactics to Strategy” webinar focuses on helping you play a more critical role in your organization’s success. The fast-paced session reveals how you can capture and leverage the data gathered from across your financial systems to help senior management make better and faster strategic decisions.
Published By: IBM APAC
Published Date: Aug 22, 2017
While working to maintain tactical control of the mobile environment, IT managers often find themselves drowning in minutiae. Overwhelmed by the number of moving parts, they’re unable to stay abreast of the latest threats, let alone extract meaning from or make decisions based on the mountains of data now being collected. With limited IT resources dedicated to mobile technology tools that facilitate reactive rather than proactive management—and limited visibility into mobile intelligence across the organization—many managers have had to choose between security and productivity as the focus of their efforts.
As the application economy drives companies to roll out applications more quickly, companies are seeing testing in a new light. Once considered a speed bump on the DevOps fast track, new tools and testing methodologies are emerging to bring testing up to speed.
In this ebook, we’ll explore some of the challenges on the road to continuous testing, along with new approaches that will help you adopt next-gen testing practices that offer the ability to test early, often and automatically.
There are five ways to provision test data. You can copy or take a snapshot of your production database or databases. You can provision data manually or via a spreadsheet. You can derive virtual copies of your production database(s).
You can generate subsets of your production database(s). And you can generate synthetic data that is representative of your production data but is not actually real. Of course, the first four examples assume that the data you need for testing purposes is available to you from your production databases.
If this is not the case, then only manual or synthetic data provision is a viable option.
Download this whitepaper to find out more about how CA Technologies can help your business and its Test Data problems.
With the application economy in full swing, more organizations are turning to Continuous Testing and DevOps development practices in order to quickly roll out applications that reflect the ever-changing needs of tech-savvy, experience-driven consumers.
Rigorous data they need, in the right formats. This forces teams to postpone their testing until the next sprint. As a result, organizations like yours are increasingly looking for ways to overcome the challenges of poor quality data and slow, manual data provisioning. They are also concerned about compliance and data privacy when using sensitive information for testing. CA Test Data Manager can help you mitigate all these concerns, so you’re positioned to achieve real cost savings.
To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing.
In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever.
Recorded Feb 5 2018 49 mins
Steve Feloney, VP Product Management CA Technologies
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery.
In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to:
Use AI and ML as the new, necessary approach for testing intelligent applications.
Strategically apply AI and ML to your testing practices.
Identify the tangible benefits of continuous intelligent testing.
Reduce risk while driving test efficiency and improvement.
This webinar offers practical steps to applying AI and ML to your app testing.
The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how:
Join us for this webcast to learn:
- How Test Data Manager finds, builds, protects and delivers test data fast!
- How to get your testing teams moving towards self sufficiency with test data
Get your questions answered. Come away happy!
Recorded Aug 20 2018 60 mins
Prashant Pandey, CA Technologies
"The Implications for Test Data Management
The GDPR is set to have wide-ranging implications for the type of data which can be used in non-production environments. Organizations will need to understand exactly what data they have and who’s using it, and be able to restrict its use to tasks where they have consent.
Learn more about how you can protect the data that matters most and comply with the GDPR."
"GDPR, the General Data Protection Regulation has just been signed into law and enacts new rules and stiff penalties for any company who misuses or loses European Union (EU) citizens’ personal data. This sweeping legislation has expanded the definition of personal data and puts IT and testing departments on high alert to safeguard personal data, across development and testing environments. Test data management, the process of obtaining and distributing test data for development teams, takes on greater urgency as the GDPR deadline looms.
Solid test data management practices will be key to overcoming compliance roadblocks and avoiding huge fines associated with GDPR. Utilizing new ways in which test data can be generated, distributed and managed will be pivotal role to meeting this regulation.
In this webcast, Vanson Bourne and CA will present the results of their highly anticipated GDPR readiness survey of 200 corporations in North American and the UK. Join us to learn more about:
ESG Lab performed hands-on evaluation and testing of the Hitachi Content Platform portfolio, consisting of Hitachi Content Platform (HCP), Hitachi Content Platform Anywhere (HCP Anywhere) online file sharing, Hitachi Data Ingestor (HDI), and Hitachi Content Intelligence (HCI) data aggregation and analysis. Testing focused on integration of the platforms, global access to content, public and private cloud tiering, data quality and analysis, and the ease of deployment and management of the solution.
Transportation companies are expected to solve logistical challenges, improve service, optimize costs and increase efficiencies. More and more, they are turning to new IoT technologies to help them achieve this.
In this guide, we’ve identified the latest location, routing and other data-driven services, that are helping commercial fleet management and logistics organizations differentiate and lead the way in an increasingly complex market.
C’est l’un des changements majeurs de ces 20 dernières années au niveau de la protection de la vie privée dans le domaine numérique. Le Règlement général de l’UE sur la protection des données (RGPD) introduira, en mai 2018, des amendes d’un montant pouvant atteindre jusqu’à 20 millions d’euros en cas de non-conformité.
Depuis plus de vingt ans, les entreprises doivent se conformer à différentes directives et réglementations en matière de protection des données. Le Règlement général sur la protection des données (RGPD ou GDPR en anglais), qui reprend l’ensemble des législations existantes de la Commission européenne en matière de protection des données, a toutefois pour but de renforcer et d’harmoniser ces différentes réglementations pour les citoyens européens. Les principaux objectifs du RGPD sont de redonner aux citoyens un contrôle sur leurs données personnelles et de simplifier le cadre réglementaire pour les entreprises internationales. Pour les organisations déjà conformes à la Directive 95/46/CE, quels sont les critères technologiques à remplir pour garantir la conformité au RGPD ?
Ce document présente les résultats d’une enquête commandée par CA Technologies en vue de comprendre la situation des entreprises face aux exigences imposées par le RGPD. Ce dernier ayant de vastes implications concernant le type de données pouvant être utilisées dans les environnements autres que de production, CA Technologies souhaitait avant tout comprendre comment les entreprises envisageaient de se mettre en conformité avec le RGPD et quels sont les processus et technologies nécessaires pour y parvenir.
Continuous Delivery has become somewhat of a buzzword in the software development world. As such, numerous vendors promise that they can make it a reality, offering their tools as a remedy to the traditional causes of project delays and failure. They suggest that by adopting them, organizations can continually innovate and deliver quality software on time, and within budget.
Published By: Veritas
Published Date: Apr 06, 2016
Data protection has never been more in the forefront, as information increasingly is the lifeblood and differentiator in a constantly changing world. As the leader we see across the enterprise, which helps solve the larger information management problems that come from accelerating digital business. Keep up with the latest trends and use the following tips to maximize the value of your data protection investment —meeting more demanding SLAs, simplifying management across a complex IT environment, and reducing costs— so you can free up resources to innovate and create business value.
Download this whitepaper to learn 8 tips to stay ahead of the top 2016 data protection trends.
Published By: SessionM
Published Date: Jan 24, 2018
Download Gartner’s latest Market Guide for Master Data Management of Customer Data Solutions to learn market definition, analysis and recommendations, the criteria necessary for evaluating marketing data management solutions and how master data sits in the middle of the 360° customer view.
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