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By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Learn how IBM InfoSphere Virtual Data Pipeline enables developers and DBAs to instantly provision or refresh database copies, regardless of size, on-premises or in any cloud; integrate database copy creation and presentation with developer tools like IBM UrbanCode, Chef, Puppet, Ansible or Salt; and deliver database copies while ensuring that all security policies are maintained including access controls, masking and encryption. With a combination of real-world customer examples and live demonstration, this session will provide a practical understanding of the InfoSphere VDP solution, the business and technical impact delivered, and how to get started quickly.
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     Group M_IBM Q2'19
By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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     Cisco
By: Hitachi Vantara     Published Date: Mar 08, 2019
With IT under increasing pressure to deliver on availability service levels and make a positive impact on the business, having a robust, efficient, and reliable modern data protection strategy is a must. Making the right IT investments can be instrumental in moving the needle, and leveraging the right tools and technology can make a substantial impact.
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     Hitachi Vantara
By: Hitachi Vantara     Published Date: Mar 08, 2019
In a perfect world, downtime would be a thing of the past, however, as organizations continue their digital transformation journeys, more data assets are being created—generating, in turn, higher availability demands. Delivering on availability service levels is not just a technical responsibility, but also a business imperative extending well beyond IT. The consequences of failing to meet service levels can be dire and costly. Read this white paper to learn how the right tools can minimize downtime.
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     Hitachi Vantara
By: Apstra     Published Date: Feb 21, 2019
Modern data centers based on hyperscale, leaf-spine switching architectures are growing so large and complex they are outstripping the capacity of operators to engineer, configure and manage these networks using traditional tools and techniques. As a result, data center operators are looking for new ways to automate workflows, maximize uptime and increase operational agility while reducing operating costs
Tags : acg, data center efficiency
     Apstra
By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to “Day One” challenges of deploying, managing and monitoring PostgreSQL. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. An effective monitoring and logging strategy is critical for maintaining the reliability, availability, and performance of database environments. The second section of this eBook provides a detailed analysis of all aspects of monitoring and logging PostgreSQL: ? Monitoring KPIs ? Metrics and stats ? Monitoring tools ? Passive monitoring versus active notifications
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     Stratoscale
By: NTT Data APAC     Published Date: Jan 16, 2019
NTT Data services has over 600+ BI experts and over 250+ implementations in India, receiving high accolades from Gartner and AMR research. NTT Data Services offers Industry focused offerings and pre-configured models. Some of our offerings include: - Guided Analytics Strategy - Proven Framework & Methodology for ‘C’ level executives - Solution lab for Co-Innovation and Proof of Concepts - Advisory Services - BI Transformations, Big Data Strategy, Information Governance, Health Checks - Proprietary Tools & Accelerators – System Optimization, Architect to Archive, User Adoption - Flexible Delivery - Rapid Development Factory, Shared Services Find more details in this deck.
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     NTT Data APAC
By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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     BMC ASEAN
By: Lookout     Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence. Watch the webinar to learn more about: What makes up the full spectrum of mobile risks Lookout's Mobile Risk Matrix covering the key components of risk How to evolve beyond mobile device management
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     Lookout
By: Gigamon     Published Date: Dec 13, 2018
Read "Understanding the State of Network Security Today" to learn why ESG recommends consolidating security tools through a structured, platform-based approach. Data, analytics and reports from multiple tools can be aggregated and consumed in one control panel, reducing network vulnerabilities. Learn more about challenges, changes and best practices for today’s network security operations and tools. Read now.
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     Gigamon
By: Splunk     Published Date: Nov 29, 2018
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline? Download your copy of Driving DevOps Success With Data to learn: How machine data can optimize your application delivery The four key capabilities DevOps teams must have to optimize speed and customer satisfaction Sample metrics to measure your DevOps processes against
Tags : devops, devops tools, continuous delivery, devops methodology
     Splunk
By: Splunk     Published Date: Nov 29, 2018
Gartner Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017 Splunk Jumps From #5 in 2016 to #2 in Top 10 Named ITOM Performance Analysis Software Vendors, Worldwide, 2017 Splunk is ranked #2 of overall ITOM Performance Analysis Software Vendors, according to Gartner’s report, Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017. This Gartner report also lists Splunk as one of several disruptors in the table “Market Share of Incumbents vs. Disruptors - ITOM Performance Analysis Software.” As a Splunk customer, are you utilizing your machine data platform to its fullest potential? Learn about newest trends in ITOM software tools across AIOps, APM, infrastructure monitoring and Network performance monitoring and diagnostics. Download this report to learn: 2017 rankings of performance analysis software vendors, overall and subsegments How digital business is driving demand for modern, agile monitoring tools via DevOps toolchains Shifts in
Tags : application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
     Splunk
By: MuleSoft     Published Date: Nov 27, 2018
Access to data – particularly customer data – is critical for companies looking to transform customer experience. This is why organizations start initiatives to create a single customer view. Building this single customer view without APIs, however, is becoming more difficult due to the large number of fragmented systems. Read this whitepaper to learn: A new approach to modularizing your single customer view, to accommodate changes, trends, market shifts, and other factors in order to deliver the right experience to your customers at the right time. How an API-led approach to integrating systems provides a well-constructed single customer view using APIs, and we’ll also suggest tools to make this job easier. The stories of customers like Mount Sinai Health System, who used MuleSoft’s solution and approach to successfully set up a single customer views using APIs.
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     MuleSoft
By: Fortinet EMEA     Published Date: Nov 26, 2018
Cloud services are a pillar of a digital transformation, but they have also become a thorn in the side of many security architects. As data and applications that were once behind the enterprise firewall began roaming free—on smartphones, between Internet-of-Things (IoT) devices, and in the cloud—the threat landscape expanded rapidly. Security architects scrambled to adjust their technologies, policies, and procedures. But just when they thought they had a handle on securing their cloud-connected enterprises, new business imperatives indicated that one cloud wasn’t enough. Modern enterprises operate in a multi-cloud world, where the threat landscape has reached a new level of complexity. Security teams are juggling a hodgepodge of policies, threat reports, and management tools. When each cloud operates in its own silo, the security architect has even more difficulty supporting the CISO or CIO with a coherent, defensible security posture.
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     Fortinet EMEA
By: Fortinet EMEA     Published Date: Nov 26, 2018
Companies are increasingly moving data and applications to public cloud platforms. Sometimes these transitions happen with IT’s approval and guidance; sometimes they don’t. Regardless, a company that stores data and uses applications in multiple public clouds creates a challenging environment for the security architect. It’s difficult to gain visibility and control of the security posture when the organization relies on an assortment of disparate cloud platforms that all take different approaches to security and offer different tools. And it’s hard for a small security staff to stay on top of disparate solutions that fail to integrate.
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     Fortinet EMEA
By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn The benefits of Disaster Recovery-as-a-Service (DRaaS), delivering on-site protection. How automated or
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     AWS
By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn How to take advantage of flexible consumption models to align hybrid cloud adoption with your business
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     AWS
By: Talend     Published Date: Nov 02, 2018
Siloed data sources, duplicate entries, data breach risk—how can you scale data quality for ingestion and transformation at big data volumes? Data and analytics capabilities are firmly at the top of CEOs’ investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the Definitive Guide to Data Quality can help. Download the Definitive Guide to learn how to: Stop bad data before it enters your system Create systems and workflow to manage clean data ingestion and transformation at scale Make the case for the right data quality tools for business insight
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     Talend
By: Adobe     Published Date: Oct 24, 2018
The report combines data from a February 2018 executive survey of 401 email marketers and documented ESP demos related to three key themes. We also utilized vendor questionnaires and our near two-decades of knowledge of the providers in this sector. One-on-one phone interviews with several of the marketers who use these tools and our executive survey clients provided satisfaction data. The methodology details our entire recipe, but readers can feel confident in knowing that our vendor evaluation process is objective and does not stem from one analyst’s singular point of view. This guide also includes our analysis and perspective on vendors that did not for a variety of reasons participate in this research.
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     Adobe
By: Group M_IBM Q418     Published Date: Sep 25, 2018
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running.
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     Group M_IBM Q418
By: CA Technologies EMEA     Published Date: Sep 11, 2018
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging. Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.
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     CA Technologies EMEA
By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
Tags : cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
     Splunk
By: Splunk     Published Date: Sep 10, 2018
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers. For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy. Download this report to learn: How to reduce monitoring blind spots when creating an ITOM strategy How to address ITOM requirements across IT and non-IT groups Distinct layers across ITOM Potential functionality gaps with domain-specific products
Tags : cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
     Splunk
By: Anaplan     Published Date: Sep 07, 2018
The concept of integrated business planning — closing gaps in an organization’s various planning functions and aligning operations and strategy with its inancial performance — has existed in various forms for decades. What has changed is creation of planning platforms that can handle the luidity of data to erase silos and enterprise borders where once there were multiple geographies, departments, time zones, languages and currencies. All elements of business are managing the avalanche of information coming to them. Just like connecting disparate people, we also must connect data that resides in various systems, applications and tools.
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     Anaplan
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