big data

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Published By: Wasabi     Published Date: Nov 13, 2018
The digital revolution will be won by those who can most efficiently store and leverage their ever-increasing amounts of data. The answer for that is in the cloud. Only the cloud can answer our seemingly bottomless need for storage, and, now thanks to Wasabi, do it with revolutionary speed and affordability. Wasabi is 80% less than and 6x faster than Amazon S3. Migrating to the cloud is now not just a necessity, it’s a smart business decision. Understand what’s coming and how to navigate it. Download 'Surviving the big data apocalypse’
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Wasabi
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, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
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: Citrix ShareFile     Published Date: Jun 12, 2017
Some of the biggest challenges IT teams face today stem from data loss and security risks arising from the unauthorized use of personal file sharing services by employees for business purposes. Personal file sharing services invite data leakage and compliance violations by allowing files being shared to escape beyond the visibility and control of IT. At the same time, these services meet the essential need of today’s mobile workforce to be able to access and share data wherever people work. Learn how enterprise-ready file sharing solutions exceed employee needs while securing and mobilizing business data.
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data loss, security, file sharing, mobile workforce
    
Citrix ShareFile
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates. Use PLM Analytics to: • Gain actionable insight and valuable intelligence • Dramatically boost business value and improve project management performance • Reduce error-prone behavior like manual data collection • Leverage big-data capabilities and project intelligence Learn how to extend the value of your PLM investment and improve business performance for your company.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: Oracle     Published Date: Oct 19, 2016
This Digibook explores the growth of cloud, social, mobile and big data, and how smart CFOs are taking advantage.
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Oracle
Published By: Oracle     Published Date: Nov 21, 2016
ans ce DigiBook, nous explorons la croissance du Cloud, des réseaux sociaux, des appareils mobiles et du Big Data. Nous nous intéressons aussi à la façon dont les DAF astucieux en profitent.
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Oracle
Published By: Veritas     Published Date: Dec 08, 2016
This Infographic outlines the below: The Data Environment How Active is the Data? Poor Data Behaviour Exposes Organisations to Risk Organisations that Deploy Information Governance Strategies are more Successful at Achieving these Desired Outcomes
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data environment, data, big data, data management
    
Veritas
Published By: Veritas     Published Date: Dec 08, 2016
Read on to find out how Veritas can arm your organisation to fight back against the exponential data curve and reign over risk.
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data, management, big data
    
Veritas
Published By: Infor     Published Date: Mar 07, 2017
Les big data sont plus qu’une simple mode. Ces dernières années, les systèmes analytiques sont rapidement devenus un outil essentiel pour les entreprises afin de rassembler et d’interpréter des informations sous diverses formes.
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Infor
Published By: Infor     Published Date: Mar 07, 2017
Big data is more than a buzz word. In recent years, analytics systems have quickly become an essential tool for businesses to gather and interpret various forms of information.
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Infor
Published By: Teradata     Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
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cost reduction, data efficiency, data security, data integration, financial services, data discovery, data accessibility, data comprehension
    
Teradata
Published By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.
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Pure Storage
Published By: Amazon Web Services     Published Date: Nov 28, 2017
You know that moving to the cloud is a huge opportunity for your business do great things. Be more agile, be more responsive, do things better. But convincing everyone in your business isn’t easy, especially your security and compliance people who may well see the cloud as too big a risk. This eBook is about answering those security questions – and communicating the six core benefits a data secure cloud will bring to your organisation.
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cloud, aws, security, organizations, visibility, control, networks, platforms
    
Amazon Web Services
Published By: Vormetric, Inc.     Published Date: Jan 11, 2016
SAP has reviewed and qualified Vormetric’s Transparent Encryption as suitable for use in SAP HANA solution environments. Vormetric provides a proven approach to securing SAP data that meets rigorous security, data governance and compliance requirements. Vormetric Data Security can be quickly deployed to secure data while requiring no change to SAP, the underlying database or hardware infrastructure. This approach enables enterprises to meet data governance requirements with a rigorous separation of duties. Whether you are securing an existing SAP deployment or upgrading, to a new version, Vormetric delivers a proven approach to quickly secure SAP data while ensuring SAP continues to operate at optimal performance.
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sap hana, data security, encryption, virtustream, cloud security, encryption keys, big data, compliance, advanced persistent threats, apt, insider threat, security, data center, data science, data storage
    
Vormetric, Inc.
Published By: IBM     Published Date: May 28, 2015
In this book, you look at how the Smarter Process approach helps you create a more customer-centric organization. You discover how four major technologies — mobile, cloud computing, Big Data, and social collaboration — are disrupting the way you do business and how you can work through the challenges.
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smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration, data center
    
IBM
Published By: IBM     Published Date: May 28, 2015
Transform your organization into a mobile enterprise for optimized business and customer-centric engagements
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smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
Learn how to uncover actionable insights through the IBM big data platform.
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ibm, machine data, insights, big data, real time, enterprise applications, data management, business technology, analytics
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
In this white paper, IDC Energy Insights discusses the current and future challenges that utilities face in meeting their business objectives and the role analytics will play.
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analytics, energy, utilities, ibm, big data
    
IBM
Published By: IBM     Published Date: Feb 22, 2016
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources.
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ibm, data, performance, scalability, information integration, big data, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Feb 22, 2016
Survive the big data storm by getting ahead of integration and governance functional requirements
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ibm, data, big data, integration, governance, security, enterprise applications, data management, business technology, data security
    
IBM
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