data variety

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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: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
Tags : big data, analytics, nexgen, hadoop, apache, networking
     Altiscale
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: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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     Artemis Health
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
By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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     AWS
By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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     AWS
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: Butler Technologies     Published Date: Jul 02, 2018
Increasingly complex networks, require more than a one-size-fitsall approach to ensuring adequate performance and data integrity. In addition to the garden-variety performance issues such as slow applications, increased bandwidth requirements, and lack of visibility into cloud resources, there is also the strong likelihood of a malicious attack. While many security solutions like firewalls and intrusion detection systems (IDS) work to prevent security incidents, none are 100 percent effective. However, there are proactive measures that any IT team can implement now that can help ensure that a successful breach is found quickly, effectively remediated, and that evidential data is available in the event of civil and/or criminal proceedings.
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     Butler Technologies
By: CDW     Published Date: Aug 04, 2016
As IT advances, organizations are adopting infrastructures that enhance agility and improve efficiency. Data centers are evolving to a state that is almost unrecognizable from only a few years ago. Numerous forces, such as cloud computing and powerful orchestration solutions, are combining to fundamentally change data centers, making them more powerful, sophisticated, flexible and efficient. Many organizations are adopting a hybrid infrastructure data center model that combines a variety of technologies and methodologies, including virtualization, private clouds and other internal IT resources, along with external options such as hosting, colocation, Software as a Service (SaaS) applications and Infrastructure as a Service (IaaS) offerings.
Tags : data center, best practices, technology, data, cloud, cloud computing
     CDW
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: Cisco DWA Security     Published Date: Sep 14, 2018
Complete enterprise security requires coordination. Firms must integrate the technologies and data that come from the endpoint and network layers to make accurate decisions that ensure optimal threat detection, containment, and remediation. Unfortunately, too many firms rely on a huge variety of solutions that require manual integration and correlation, leading to wasted time and poor threat detection. Security leaders must automate these processes to eliminate detection lag and improve prevention efforts.
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     Cisco DWA Security
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: Citrix Systems     Published Date: Sep 17, 2015
Desktop virtualization is a powerful driver of business transformation, making it possible to deliver the apps and data people depend on to get work done. Learn how Citrix XenDesktop with FlexCast allows you to use a variety of methods to balance user requirements and costs for each use case in your organization.
Tags : desktop virtualization, citrix xendesktop, flexcast, business transformation, it management, enterprise applications, data management
     Citrix Systems
By: ClearStory     Published Date: Oct 07, 2014
When it comes to “big data,” Gartner boils it all down to “value.” In their 2014 Cool Vendors for Big Data report, ClearStory Data was among 4 companies profiled. According to Gartner, ClearStory is “for companies looking at big data business intelligence and analytics from a data variety perspective.”
Tags : big data, value, business intelligence, analytics, data variety, data management, data center
     ClearStory
By: Cloud Direct     Published Date: Jan 17, 2018
Clearly, data centre modernisation can achieve a wide variety of business benefits for an equally wide variety of organisations. Data centre modernisation programmes are also far reaching. They reach way beyond the desire to merely reduce costs. They add significant business value, and often become the essential cornerstone of digital transformation. When starting on your own path towards modernisation, it’s vital to recognise that your success depends on making use of advanced public cloud services that sit at the vanguard of enterprise technology’s capabilities. If they don’t, you risk not being able to gain access to a world of new possibilities.
Tags : applications, data, run time, middleware, operating system, virtualisation, servers, storage
     Cloud Direct
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: DataStax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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     DataStax
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: Datastax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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     Datastax
By: Datastax     Published Date: Dec 27, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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     Datastax
By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Tags : visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence
     Datawatch
By: Dell EMC     Published Date: Mar 18, 2016
EMC has recently enhanced its VNX block-based deduplication technology enabling flexible data reduction across a wide variety of use cases from virtual desktops to virtual servers and databases. While block-based deduplication is not new for VNX, this latest enhancement, according to EMC, offers up to a 3x better performance at half the response time.
Tags : emc, vnx, hybrid flash, deduplication, block-based, data reduction
     Dell EMC
By: Dell EMC     Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
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     Dell EMC
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