data variety

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By: Mimecast     Published Date: Nov 28, 2017
With the pending EU General Data Protection Regulation (GDPR), your organization must consider a wide variety of changes for compliance if you hold EU resident data. Your organization should look at GDPR as an opportunity to modernize storage, compliance and security needs. But what services should be considered? Download to learn more including: • How the right providers can help you build a business case for GDPR compliance • Ways providers can directly aid in the compliance process • Why the right tools can help with not just technology but process changes as well
Tags : software provider, cloud service provider, gdpr
     Mimecast
By: Commvault     Published Date: Jul 06, 2016
Snapshot-based data protection solutions were supposed to solve our backup challenges, weren’t they? Then why are your backups still broken? If your snapshots are manually managed or of the “build-it-yourself” variety, there may be several reasons that they aren’t working very well.
Tags : commvault, storage snapshot based data protection, data protection, backup and recovery, intellisnap, array snapshot management, single point of failure, it management
     Commvault
By: IBM     Published Date: Jul 07, 2014
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
Tags : ibm, midmarket, ibm global analytics study, analytics, business insights, profitability, big data, business analytics
     IBM
By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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     SAS
By: ElcomSoft     Published Date: Dec 06, 2007
In order to protect important data, we use a large variety of methods and technologies, especially when the data in question is confidential and essential for day-to-day operations of a business and for making important management decisions. "If you have the information, you own the world" has become the basic tenet of our times, where control over data is of the utmost significance. The loss of access to important data can have a very negative impact on the company’s business.
Tags : password, password management, access control, server access, network management, windows, windows management, user access
     ElcomSoft
By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
Tags : ibm, analytics, global business service, big data, business value, it professionals, volume, velocity
     IBM
By: IBM     Published Date: Oct 13, 2017
This BARC document is the third edition of our BARC Score business intelligence vendor evaluation and ranking. This BARC Score evaluates enterprise BI and analytics platforms that are able to fulfill a broad set of BI requirements within the enterprise. Based on countless data points from The BI Survey and many analyst interactions, vendors are rated on a variety of criteria, from product capabilities and architecture to sales and marketing strategy, financial performance and customer feedback.
Tags : barc. business intelligence, analytics, customer feedback
     IBM
By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
Tags : enterprise, nosql, relational, databases, data storage, management system, application, scalable
     MarkLogic
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.
Tags : big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
     Cisco EMEA
By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
Tags : cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
     Hewlett Packard Enterprise
By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
Tags : ibm, data, big data, information, healthcare, governance, technology, it management
     IBM
By: Datastax     Published Date: Aug 23, 2017
About 10 years ago big data was quickly becoming the next big thing. It surged in popularity, swooning into the tech world's collective consciousness and spawning endless start-ups, thought pieces, and investment funding, and big data's rise in the startup world does not seem to be slowing down. But something's been happening lately: big data projects have been failing, or have been sitting on a shelf somewhere and not delivering on their promises. Why? To answer this question, we need to look at big data's defining characteristic - or make that characteristics, plural - or what is commonly known as 'the 3Vs": volume, variety and velocity.
Tags : datastax, big data, funding
     Datastax
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.
Tags : data, lake, amazon, web, services, aws
     AWS
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.
Tags : 
     AWS
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.
Tags : cost effective, data storage, data collection, security, compliance, platform, big data, it resources
     Amazon Web Services
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
By: Google Apigee     Published Date: Mar 06, 2019
Inside the API Product Mindset APIs expose data or functionality for use by applications and developers, which means they allow access to a business’s valuable digital assets—and thus to the heart of the business itself. Vulnerable APIs can expose a business’s core data and services to a variety of threats. Therefore, API security should be of paramount importance to any enterprise that exposes digital assets. Google Cloud’s new eBook, Building and Managing Secure APIs, takes a deeper look at the do’s and don’ts of enterprise API security. Explore how to design secure, easy-to-use APIs with field-tested best practices, real-world use cases and a checklist to help your team get started. What's Inside? ? Field-tested best practices ? Real-world use cases ? API monetization checklist
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     Google Apigee
By: Cisco and NVIDIA Corporation     Published Date: Oct 22, 2018
Citrix and Google are collaborating to bring the best, most secure way to deliver virtual apps and desktops from Google Cloud. The Citrix Workspace solutions traditionally installed on data center servers—including Citrix Virtual Apps and Desktops, Citrix Networking, and Citrix Content Collaboration (formerly known as Citrix ShareFile)—are now enabled on Google Cloud Platform services. Citrix enables customers to choose the workload deployment option that best aligns with their enterprise cloud strategy and offers a variety of ways to securely deploy Citrix solutions to meet unique application needs. Whether deployed on-premises, cloud-hosted, as a Citrix Workspace service, or with a service provider—customers choose how much and which components of app workloads to manage and when and where to securely deploy business apps, data, and desktops.
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     Cisco and NVIDIA Corporation
By: Gameffective     Published Date: Feb 26, 2019
Comdata Group is one of the world's largest business process outsourcing (BPO) providers. It operates hundreds of call-centers around the globe, with tens of thousands of employees offering, a variety of services, including sales and customer service. In a competitive BPO market, Comdata was looking for ways to increase the productivity and efficiency of its agents. It looked for a unified solution that would successfully engage employees, drive higher accountability and better focus them on their performance. Using Gameffective's platform, Comdata deployed gamified, real-time performance management. This process provides employees with the ability and motivation to self-track their performance against goals and benchmarks, and offers just-in-time coaching based on their needs. The results were impressive: 12% increase in sales per hour, and significant reductions in both new-hire learning curves and in ongoing training time. Read the case study to learn how Comdata: Increased emp
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     Gameffective
By: IBM     Published Date: Jun 07, 2016
In a multi-database world, startups and enterprises are embracing a wide variety of tools to build sophisticated and scalable applications. IBM Compose Enterprise delivers a fully managed cloud data platform so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
Tags : ibm, analytics, database, ibm compose enterprise, networking
     IBM
By: IBM     Published Date: Jun 21, 2017
Today, it’s unlikely that a single database will meet all your needs. For a variety of reasons—including the need to support cloud-scale solutions and increasingly dynamic app ecosystems—startups and enterprises alike are embracing a wide variety of open source databases. These varied databases—including MongoDB, Redis and PostgreSQL— open doors to building sophisticated and scalable applications on battle-hardened, non-proprietary databases.
Tags : ibm, data base, cloud, scalability, app ecosystem
     IBM
By: IBM     Published Date: Jul 05, 2018
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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     IBM
By: IBM     Published Date: Jul 09, 2018
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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     IBM
By: Evergreen Systems, Inc.     Published Date: Dec 16, 2008
This comprehensive white paper applies automation and ITIL best practices to the data center and reviews current industry trends, server automation energy usage issues and a variety of optimization strategies for data center improvement.  The effects of virtualization are explored in-depth.  Includes detailed sections on increasing operational efficiency using workflow analysis, automating and optimizing server change management, reducing infrastructure complexity and developing security, disaster recovery and business continuity procedures.  Step by step instructions for developing metrics and a business case to justify data center and server automation are included.
Tags : evergreen system, data center automation, data center automation manager, network automation, server automation, server virtualization, itil, data center optimization
     Evergreen Systems, Inc.
By: IBM     Published Date: Oct 13, 2016
In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. Download this white paper to learn how.
Tags : database, big data, analytics, infrastructure, data management, data center
     IBM
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