storage analytics

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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: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
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: 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: CDW     Published Date: Apr 04, 2016
As organizations evolve from virtualized infrastructures to private clouds, IT management must measure success by the efficiencies of the infrastructure in providing end users with flexible and cost-effective services and service levels. NetApp® OnCommand® Insight storage resource management software provides service analytics that help enterprises manage the complexity of this transition. OnCommand Insight provides a holistic view into complex multivendor and multiprotocol storage services and powerful analytics to help organizations fully leverage the promise of cloud computing.
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cloud management, cloud services, cloud management, it infrastructure, cloud application, analytics, data management, distributed computing
    
CDW
Published By: CDW - NetApp     Published Date: Apr 07, 2016
As organizations evolve from virtualized infrastructures to private clouds, IT management must measure success by the efficiencies of the infrastructure in providing end users with flexible and cost-effective services and service levels. NetApp® OnCommand® Insight storage resource management software provides service analytics that help enterprises manage the complexity of this transition. OnCommand Insight provides a holistic view into complex multivendor and multiprotocol storage services and powerful analytics to help organizations fully leverage the promise of cloud computing.
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cloud management, cloud services, cloud management, it infrastructure, cloud application, analytics, it management, data management
    
CDW - NetApp
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: Cohesity     Published Date: Oct 02, 2018
The University of California, Santa Barbara (UCSB) is a public research university and one of the 10 campuses of the University of California system. Its secondary storage was a combination of multiple point solutions. The UI/setup and maintenance was complex. Maintaining multiple licensing and maintenance agreements negatively impacted the administrative cost. The skyrocketing cost for additional backup capacity limited the team’s ability to expand their backup protection to many critical systems. With Cohesity's unified hyperconverged secondary storage platform, the IT team provided a single solution for all 13 departments to consolidate their backups on one platform, and scale-out as required. Read the case study and get details on how UCSB consolidated everything from backup to recovery, analytics to monitoring and alerting.
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case, study, ucsb, consolidates, data, protection, cohesity, hyperconverged
    
Cohesity
Published By: Commvault     Published Date: Jul 06, 2016
Think of a wildfire that quickly spreads as it increases in speed and power. That is what is happening today as data growth increases the volume and management complexity of storage, backup and recovery. Now think of trying to stop that fire with a garden hose. Your traditional backup and recovery process is equally under-equipped to manage and facilitate operations that need more speed, efficiency, scalability and reliability to handle today’s 24/7, always-on environment. Here we examine the benefits of moving from a solution comprised of multiple point products to a holistic data protection platform designed to serve today’s enterprise.
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commvault, data protection, storage, backup, recovery, holistic data protection, singe pane of glass, common code base
    
Commvault
Published By: Dell EMC     Published Date: May 15, 2015
Understand how Vidant Health System transforms health IT strategy and accelerates meaningful use of Epic EHR with EMC XtremIO
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emc, storage all-flash, array, architectures, workload, data center, scale, storage
    
Dell EMC
Published By: Dell EMC     Published Date: May 15, 2015
This Wikibon research shows that flash will become the lowest cost media for almost all storage from 2016 and beyond, and that a shared data philosophy is required to maximize the potential from both storage cost and application functionality perspectives.
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emc, storage all-flash, array, architectures, workload, data center, scale, storage
    
Dell EMC
Published By: Dell EMC     Published Date: May 12, 2016
XtremIO gives you unmatched efficiencies for all database workloads. A scale-out database storage platform that consolidates and accelerates everything. Supercharge production, dev/test, and BI/analytics workflows with incredible data reduction and copy data management services. You get incredible and predictable scale-out performance with a low total cost of ownership.
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xtremio, all-flash array, agility, application landscapes, data management services, scale-out performance, enterprise applications
    
Dell EMC
Published By: Dell EMC Storage     Published Date: Nov 28, 2018
Powerful data protection in a converged appliance that is easy to deploy and manage — at the lowest cost-to-protect. The integrated appliance brings together protection storage and software, search, and analytics — plus simplified system management and cloud readiness. And, the IDPA System Manager, with its clean, intuitive interface, provides a comprehensive view of data protection infrastructure from a single dashboard.
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Dell EMC Storage
Published By: Dynatrace     Published Date: Apr 26, 2017
This new report from Dynatrace and O'Reilly Media details the 3 stages that businesses move through as they migrate to the cloud, and a winning strategy for each stage. It includes case studies that will show you how to tackle both technical and cultural challenges along the way.
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cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
    
Dynatrace
Published By: EMC     Published Date: Jun 13, 2016
A Data Lake can meet the storage needs of your Modern Data Center. Check out the Top 10 Reasons your organization should adopt scale-out data lake storage for Hadoop Analytics on EMC Isilon.
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emc, data center, storage, storage space, data protection, infrastructure, servers, backup and recovery
    
EMC
Published By: EMC Corporation     Published Date: Jul 07, 2013
Businesses that exploit Big Data to improve strategy and execution are distancing themselves from competitors. The Big Data solution from EMC provides market-leading, scale-outing storage, a unified analytics platform, and business process and application development tools. Together, these allow organizations to draw deeper insights and become a more predictive organization.
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emc, big data, strategy improvement, market leader, scale-outing storage, analytics platform, technology, application development
    
EMC Corporation
Published By: EMC Corporation     Published Date: Jul 07, 2013
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
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enterprises, storage, information management, technology, platform, big data analytics, emc, self service
    
EMC Corporation
Published By: EMC Corporation     Published Date: Jul 07, 2013
While the concept of big data is nothing new, the tools and technology and now in place for companies of all types and sizes to take full advantage. Enterprises in industries such as media, entertainment, and research and development have long been dealing with data in large volumes and unstructured formats - data that changes in near real time. However, extracting meaning from this data has been prohibitive, often requiring custom-built, expensive technology. Now, thanks to advancements in storage and analytics, all organizations can leverage big data to gain the insight needed to make their businesses more agile, innovative, and competitive.
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big data, emc, technology, storage, analytics, data management, security, knowledge management
    
EMC Corporation
Published By: EMC Corporation     Published Date: Jul 07, 2013
Competitive enterprises that embark on big data strategies do so with the expectation that their businesses will transform. They don't just want answers from the data they collect and analyze, they want results. Be it with small, fledgling trials or large, cross-functional efforts, these enterprises want to see clearly how big data can make a difference - with their customers, their processes, their bottom lines and, most important, with growing the business.
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storage, enterprises, information management, technology, platform, big data analytics, emc, self service
    
EMC Corporation
Published By: EMC Corporation     Published Date: May 27, 2014
ESG Whitepaper: New security risks and old security challenges often overwhelm legacy security controls and analytical tools. This ESG white paper discusses why today's approach to security management—that depends on up-to-the-minute situational awareness and real-time security intelligence—means organizations are entering the era of big data security analytics.
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emc, security operations, security analytics, intelligence-driven security, threat detection, security monitoring, critical incident response, security
    
EMC Corporation
Published By: FICO     Published Date: Jun 07, 2016
With the increasing mainstream adoption of big data infrastructure — highly distributed file storage and query tools — more businesses are taking a new look at what business intelligence and analytics can do to grow revenue, increase profits and ultimately develop strategic relationships with customers.
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FICO
Published By: Hewlett Packard Enterprise     Published Date: Feb 12, 2018
Understand how infrastructure complexity slows down data delivery and why flash storage alone addresses less than half of slow downs. HPE makes the data center of the future available today. There are thousands of customers that can benefit from InfoSight predictive analytics within the HPE Nimble Storage and HPE 3PAR platforms. Enterprises depend on data to improve customer interaction, accelerate product development and run the back office.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
Forward-looking organizations are looking to next-generation all-flash storage platforms to eliminate storage cost and performance barriers. Advancements in all-flash technology have led to remarkable priceperformance improvements in recent years. The latest all-flash solutions from HPE deliver breakthrough economics, speed and simplicity, while improving availability and data durability. All-flash storage can help you reduce TCO and boost the performance of traditional applications as well as accelerate the rollout of new initiatives like IoT, big data and analytics. But moving data to a new storage architecture introduces a variety of organizational and technical challenges.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect."
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Hewlett Packard Enterprise
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