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data managing

Results 26 - 50 of 160Sort Results By: Published Date | Title | Company Name
Published By: Gigamon     Published Date: Dec 13, 2018
Despite increasing security budgets, companies find there is too much data for new tools to analyze, not enough skilled IT security professionals and little confidence in current technology investments. Read the “2018 Cyberthreat Defense Report” to learn how your peers are managing increased breaches, vulnerabilities and encrypted traffic. How does your cyberthreat approach compare to other security pros who are protecting their organizations? Learn now.
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Gigamon
Published By: VMware     Published Date: Dec 10, 2018
It’s no secret financial services organizations own and operate legacy solutions. Some of these core processes are front and center, meeting customer needs; others are in the middle, supporting account handling operations; and still many more are in the back-office, handling data and managing analytics. The challenge for financial leaders is to ensure these traditional systems don’t prevent the delivery of great digital experiences now and into the future. To find out more download this eBook today.
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VMware
Published By: Pure Storage     Published Date: Dec 05, 2018
Data is the new currency. Is your organization capitalizing on the full potential of data analytics? In this big data primer, you will learn about the 3 key challenges facing organizations today: managing overwhelming amounts of data, leveraging new complex tools/technologies, and developing the necessary skills and infrastructure. And since storage is where your organization's data lives, it’s a pivotal part of the infrastructure jigsaw puzzle. Thus with a “tuned for everything” storage solution that is purpose-built for modern analytics, you can confidently harness the power of your data to drive your enterprise forward.
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Pure Storage
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: Attunity     Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
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Attunity
Published 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
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published 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
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published 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
Published 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
Published By: SAS     Published Date: Aug 28, 2018
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast. In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
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SAS
Published By: Anaplan     Published Date: Aug 28, 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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afp, business, planning, capability, integration, organization
    
Anaplan
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse. Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off? Download now to find out more.
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Amazon Web Services
Published By: Reputation.com     Published Date: Jun 29, 2018
HCAHPS is the barometer for understanding a patient’s hospital experience. But can you predict the outcome of your patient satisfaction surveys by reading online reviews from past and present patients? And more importantly, does improving your hospital’s online reputation improve HCAHPS scores? Yes. Reputation.com’s Data Science team, led by Brad Null, Ph.D, analyzed two years of HCAHPS hospital survey data from The Centers for Medicare and Medicaid Services, across more than 4,800 hospitals. The team reviewed the data alongside online reviews, ratings and rankings for those same hospitals, and made some significant discoveries: • Online reviews provide early warning of issues that may impact patient experience, giving hospitals the opportunity to identify and address those issues before patient satisfaction scores suffer. • By continually monitoring, managing, requesting and responding to patient reviews, a healthcare organization can address negative feedback that impacts HCAHPS resu
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Reputation.com
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional databases and data warehouses are evolving to capture new data types and spread their capabilities in a hybrid cloud architecture, allowing business users to get the same results regardless of where the data resides. The details of the underlying infrastructure become invisible. Self-managing data lakes automate the provisioning, reliability, performance and cost, enabling data access and experimentation.
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AWS - ROI DNA
Published By: CA Technologies EMEA     Published Date: May 23, 2018
In today’s application economy, interaction between a business and its customers, partners and employees is increasingly through apps. And omni-channel access to these applications—from anywhere at any time—is dependent on APIs. These APIs provide an interface for developers to code against, and must be robust enough to support ever-growing demand. As a result, APIs are perhaps the most critical technology in digital business design today. APIs sit between your application clients —apps, websites and devices—and application backends. By leveraging APIs, you can securely stretch the boundaries of your enterprise by tapping into a broad array of digital businesses, digital customers and digital devices. But just as important as the API, is the application backend itself. Behind the API, the data access layer and application logic layer are doing the heavy lifting—implementing business rules, maintaining data consistency and managing interactions with various data sources. These three com
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CA Technologies EMEA
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Very little data is available on how effectively enterprises are managing private cloud deployments in the real world. Are they doing so efficiently, or are they facing challenges in areas such as performance, TCO and capacity? Hewlett Packard Enterprise commissioned 451 Research to explore these issues through a survey of IT decision-makers and data from the Cloud Price Index.
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Hewlett Packard Enterprise
Published By: Anaplan     Published Date: Mar 29, 2018
The concept of integrated business planning — closing gaps in an organization’s various planning functions and aligning operations and strategy with its financial performance — has existed in various forms for decades. What has changed is creation of planning platforms that can handle the fluidity 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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afp, ibp, business, organizations, enterprise, data, systems
    
Anaplan
Published By: FICO     Published Date: Mar 22, 2018
Cybercrime and data breaches are daily news. Escalating cost, new regulations and increased focus on managing third-party relationships means cybercrime is a boardroom issue. This executive briefng explains why cybercrime is a relevant and pressing problem, and will show you how to evaluate and invest in layered controls to help you understand the security posture for your organisation.
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FICO
Published By: Oracle     Published Date: Feb 21, 2018
Why should I move my database to the cloud? Have you considered how you will support • Growing demand for data delivery securely from anywhere? • Managing new data whilst maintaining old? • Rapidly scaling your infrastructure as your business needs? Oracle Database Cloud is the #1 data-management solution in the cloud to empower you to deliver more value at scale, faster.
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Oracle
Published By: Oracle     Published Date: Feb 16, 2018
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. A recent Gartner survey found that more than 80 percent of CIOs consider Infrastructure as a Service (IaaS) to be a viable option and 10 percent of CIOs already consider it to be their default choice for infrastructure. Utilizing an infrastructure with an elastic, pay-as-you-go service model not only reduces costs and worries, but also frees IT organizations to innovate in ways that will enhance business growth.
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iaas, business, legacy, infrastructure, oracle, organisations
    
Oracle
Published By: Oracle     Published Date: Feb 15, 2018
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. A recent Gartner survey found that more than 80 percent of CIOs consider Infrastructure as a Service (IaaS) to be a viable option and 10 percent of CIOs already consider it to be their default choice for infrastructure. Utilizing an infrastructure with an elastic, pay-as-you-go service model not only reduces costs and worries, but also frees IT organizations to innovate in ways that will enhance business growth.
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iaas, business, legacy, infrastructure, oracle, organisations
    
Oracle
Published By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: F5 Networks Inc     Published Date: Dec 08, 2017
The world set a new record for data breaches in 2016, with more than 4.2 billion exposed records, shattering the former record of 1.1 billion in 2013. But if 2016 was bad, 2017 is shaping up to be even worse. In the first six months of 2017, there were 2,227 breaches reported, exposing over 6 billion records and putting untold numbers of accounts at risk. Out of all these stolen records, a large majority include usernames and passwords, which are leveraged in 81 percent of hacking-related breaches according to the 2017 Verizon Data Breach Investigations Report. Faced with ever-growing concerns over application and data integrity, organizations must prioritize identity protection in their security strategies. In fact, safeguarding the identity of users and managing the level of access they have to critical business applications could be the biggest security challenge organizations face in 2017.
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data breach, credential stuffing, system security, security
    
F5 Networks Inc
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