data types

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Published By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: Oracle     Published Date: Mar 01, 2019
Most cloud infrastructure vendors offer companies a stable and secure environment on which to build and run their applications without having to manage a data center, invest in hardware, or install and update software. While most cloud vendors provide the same types of services, they differ in how they charge for and deliver those services.
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Oracle
Published By: Tenable     Published Date: Jan 25, 2019
"Web application attacks are the top source of data breaches today. The 2018 Cybersecurity Insiders Application Security Report reveals that 62% of cybersecurity professionals are at best moderately confident in their organization’s application security posture. Not surprisingly, about the same number consider their application security strategies immature.Applications play a critical role in supporting key business processes, but organizations are struggling to keep them safe. This eBook examines the 5 best practices for application security. Read this ebook now to understand: -Which types of apps present the highest security risk -Best practices for reducing security risks associates with web applications -Steps you can take now to secure web applications "
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Tenable
Published By: StreamSets     Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
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replatforming, age, data, lake, apache, hadoop
    
StreamSets
Published By: IBM     Published Date: Oct 13, 2017
Analytics is game-changing and can produce valuable insights from the ever-growing volume, velocity and variety of data. Business Intelligence (BI) provides the foundation for many types of Analytics. It enables companies to deliver exceptional customer experience, enhance marketing effectiveness, increase operational efficiencies, reduce financial risks, improve product quality and reliability, and so on. But businesses are also challenged to generate timecritical actionable insights and make a compelling financial business case for BI investments.
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ibm, cognos analytics, business intelligence, customer experience, marketing
    
IBM
Published By: TIBCO Software     Published Date: Jul 22, 2019
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot. “In each of the last five years, the industry lost a quarter billion in motor insurance," says Colm Carey, chief analytics officer. "So, there's a huge push for new data, models, ways to segment and pick profitable customer types—and get a lot more sophisticated. Our goal is to optimize pricing, understand the types of customers we're bringing, and the types we're trying to attract. We would like to tie that across the business. Marketing will run a campaign, trying to attract a lot of customers, but maybe they're not the right type. "We wanted to step away from industry standard software and go with something that was powerful and future-proof. In 2016, we had an opportunity to analyze all software. We chose the TIBCO® System of Insight with TIBCO BusinessWorks™ i
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TIBCO Software
Published By: Intel     Published Date: Apr 09, 2019
Video data is a key part of surveillance as well as many other types of IoT implementations. But video data can be complex and costly to gather, transmit, and analyze. AllGoVision* provides an innovative analytics solution, purpose-built for video data. Powered by Intel® architecture, the solution has been deployed in more than 100 installations in 35 countries. It rapidly analyzes video from surveillance cameras for designated parameters, including specified factors, behavior patterns, motion tracking of people and objects, and environmental monitoring.
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Intel
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions
    
IBM
Published By: Schneider Electric     Published Date: Mar 28, 2019
Attracting Investors Webinar: With more than $18 billion in M&A activity in the first half of last year alone, the colocation industry is riding the bubble of rapid growth. Colocation data center providers are being evaluated by a wide range of investors, with varying experience and perspectives. Understanding the evaluation criteria is a critical competency for attracting the right type of investor and investment to your colocation business. Steve Wallage, Managing Director of Broad Group Consulting, has led more than 30 due diligence projects and will discuss specific areas of focus including assessment of financials, management, customers, business plan, competitive positioning and future strategy and exit. By attending this presentation colocation providers will: • Hear how investors are assessing colocation providers • Understand different types of investor strategy and positioning • Explore actual case studies –success stories as well as examples where investors walked away • Walk away with a greater understanding of how to not only attract investment, but the right type of investor to propel their business growth
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investors, schneider electric, - colocation provider, attracting investors, colo data center
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 07, 2019
Attracting Investors Webinar: With more than $18 billion in M&A activity in the first half of last year alone, the colocation industry is riding the bubble of rapid growth. Colocation data center providers are being evaluated by a wide range of investors, with varying experience and perspectives. Understanding the evaluation criteria is a critical competency for attracting the right type of investor and investment to your colocation business. Steve Wallage, Managing Director of Broad Group Consulting, has led more than 30 due diligence projects and will discuss specific areas of focus including assessment of financials, management, customers, business plan, competitive positioning and future strategy and exit. By attending this presentation colocation providers will: Hear how investors are assessing colocation providers Understand different types of investor strategy and positioning Explore actual case studies –success stories as well as examples where investors walked away Walk away with a greater understanding of how to not only attract investment, but the right type of investor to propel their business growth
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investors, schneider electric, - colocation provider, attracting investors, colo data center
    
Schneider Electric
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk. How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study: 1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy. 2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data. 3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared. Download the study to learn how finance leaders are approaching data and enterprise risk management
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Dun & Bradstreet
Published By: Unitrends     Published Date: Aug 18, 2015
When it comes to data protection, what matters most? You want the freedom to choose the types of data, applications, and computing platforms you protect. You want to seal off that data from security threats. You need space to house that data—the right space now with room to grow. You want to support older solutions as you evolve your technology environment to modern strategies, at a pace that suits your business. And you need the ability to reach out for that data at a moment’s notice without overstressing your network. In short, you need it all.
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unitrends, backups, backup software consolidated backup, backup software enterprise, program backup software, network appliance backup, continuous backup software, backup software server, vps, virtual server
    
Unitrends
Published By: Acronis EMEA     Published Date: May 18, 2015
This book is a guide to modern data protection for IT professionals that covers the simplest file backup scenarios to comprehensive protection strategies for businesses with complex IT environments.
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backup, data protection, data security, protection strategies, recovery, cloud computing, virtualization, backup types, recovery tools, data backup
    
Acronis EMEA
Published By: SAS     Published Date: May 24, 2018
Ongoing digitization has created vast streams of data, forcing businesses to become more data-driven than ever before. While the benefits of being a data-driven organization are clear (improved performance, more profitability, stronger innovations), there are still some technical and business challenges to overcome. Thanks to technological advancements in data analytics, companies in all types of industries can become data-driven. Read this e-book to discover what it means to be a data-driven organization and to learn the basic do’s and don’ts of how to get there.
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SAS
Published By: SAS     Published Date: Apr 13, 2011
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
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business intelligence, michael lock, predictive analytics, business insight, business visibility, small to medium sized business
    
SAS
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s 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.
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data, lake, amazon, web, services, aws
    
AWS
Published By: AWS     Published Date: Nov 02, 2017
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. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s 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.
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AWS
Published By: Amazon Web Services     Published Date: Oct 09, 2017
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 analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
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: Blue Coat Systems     Published Date: Jul 18, 2013
IT Leaders See security as barrier to enabling employees. However with new Business assurance technology you are able to give Continuity, Agility, and Governance. With Blue Coat you can deliver business continuity by protecting against threats and data loss, extend protection and policy to users in any location on any device ,safely deploy and consume all types of applications, align IT infrastructure with business priorities to assure and accelerate user experience across the extended enterprise and make risk management tradeoffs and enforce compliance.
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technology, bluecoat, infrastructure
    
Blue Coat Systems
Published By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: Carbonite     Published Date: Oct 05, 2017
Data protection often seems like a clash between competing interests: the need to protect data, against the need to protect access to data. The challenge lies in deploying the right protection across the different systems and types of data, since they each require different forms of protection. IT pros need confidence that the protection they deploy can: •Ensure long-term survivability of historical data •Deliver data securely to different waypoints. •Extend protection as environments change.
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data protection, data security, carbonite, data recovery, data resiliency, data backup
    
Carbonite
Published By: Carbonite     Published Date: Jan 04, 2018
Data protection often seems like a clash between competing interests: the need to protect data, against the need to protect access to data. The challenge lies in deploying the right protection across the different systems and types of data, since they each require different forms of protection.
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Carbonite
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