data analyst

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Published By: Pentaho     Published Date: Jan 16, 2015
This ebook is recommended for IT managers, developers, data analysts, system architects, and similar technical workers, who are faced with having to replace current systems and skills with the new set required by NoSQL and Hadoop, or those who want to deepen their understanding of complementary technologies and databases. Sponsored by Pentaho.
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big data, hadoop, data delivery
    
Pentaho
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Aug 16, 2012
This report defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
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Sponsored by HP and Intel® Xeon® processors
Published By: IBM     Published Date: Oct 10, 2013
Today, your company's digital presence is your reputation and your brand. But websites and other IT assets are vulnerable to security breaches, downtime and data loss—all of which can negatively affect your reputation and competitive position. Read this paper, commissioned by IBM with leading analyst Forrester to learn how IT security decision makers across the globe are doing more with less by outsourcing key security tasks.
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reputational risk, it outsourcing, it security, security, risk, security breach, digital presence, it assets, protection, safeguarding, outsourcing, risk management, data loss, data loss prevention, global it solutions
    
IBM
Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing, database management, query
    
IBM
Published By: Group M_IBM Q2'19     Published Date: May 23, 2019
US ground forces handle massive amounts of information and data while working under unpredictable conditions. These conditions don’t always allow military intelligence analysts access to a technologically reliable way to share information.  AI can help develop a comprehensive intelligence picture and a true sense of cognitive situational understanding (CSU). These technologies can help analyze the massive amounts of data the military receives. And because AI programs are constantly adding new capabilities and tools, they can help the military prepare for the battlefield of the future. Read how. 
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Group M_IBM Q2'19
Published By: IBM     Published Date: Aug 28, 2014
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
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data storage, data value, ilg, data disposal
    
IBM
Published By: IBM     Published Date: Oct 22, 2014
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
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data storage, big data, data disposal, data value
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
"Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data."
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ibm, mdm, big data, trusted data, data solutions
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
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ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi
    
IBM
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group (ESG), makes the case for storing backup, archive and content repository data in the cloud. Learn how IBM Cloud Object Storage addresses these use cases and helps companies lower costs, provide higher availability and protect against unauthorized access to their data. Complete the form to download the analyst paper
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ibm cloud, archival solutions, ibm, it services, storage, production storage, data management
    
IBM
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM
Published By: Vision Solutions     Published Date: Dec 31, 2007
For AIX IT departments looking to take the next step in data protection strategies, CDP is an essential consideration. Analysts agree that businesses will be incorporating this strategy in the next few years as part of an integrated solution. CDP enables you to reverse data corruption in a fraction of the time and labor required for recovery from tape.
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aix, data protection, continuous data protection, cdp, high availability, disaster recovery, disk backup, tape backup, recovery, backup, mimix, vision, vision solutions
    
Vision Solutions
Published By: IBM     Published Date: Feb 04, 2014
Explore the top five practices in today's customer-data-driven supply chain and examine the impact of using customer data on key supply chain metrics.
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ibm, aberdeen group, analytics report, customer data, data-driven, supply chain, best practices, social shopping, social networks, analyst insight, supply chain metrics, data streams, big data, data center, data analysis, industry demands, omni-channel environment, collaboration, social business, deployment trends
    
IBM
Published By: IBM     Published Date: Apr 18, 2014
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it – not to mention excellent qualities of service. Carl Olofson, an IDC analyst looks, at the role of the mainframe in relation to big data, how it has become a hub for modern day analytics, its ability to integrate information from other sources to enhance business decisions and how it is positioned for the future. Download this paper and learn.
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ibm, mainframe, platform, big data, analytics, big data and analytics, bda, big data technology, system z
    
IBM
Published By: Select Hub     Published Date: Nov 07, 2017
Interactive analyst report gives you comparison ratings, reviews and pricing from actual software selection projects. Unlike some ratings, SelectHub product scores are taken from multiple sources including top analysts and actual buyers of the software—ideal for your shortlist. Find the right BI analytics tools: • Actionable insights from experts: In plain language, find out how each product supports the functions that matter most to your company. • Key requirements criteria: Get a comprehensive list of the key requirements for use in your software evaluation and vendor selection. • Easy pricing: Get recommendations and pricing for solutions matching your business needs. • Includes practical guide: How to Buy Business Intelligence Software Over 80 business analytics and BI tools evaluated. The SelectHub platform contains expert software analysis across key criteria and vendor data. These built-in analyst ratings are combined with subjective user ratings to create SelectHub ratings r
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Select Hub
Published By: IBM     Published Date: Jan 09, 2015
IBM sponsored the and Ponemon Institute examined the actual costs of data breaches at 61 US companies and drew on the results of more than 500 interviews to reveal the true costs of data breaches today, from detection and escalation to customer churn. Read the analyst research to find out the average number of breached records per company, the real reasons most data breaches occur, the capital outlays that a breach requires, and the rate at which customers abandon companies after a breach occurs.
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data breaches, data breach detection, business continuity management, malware
    
IBM
Published By: Cisco     Published Date: Sep 08, 2016
In today's technology landscape, IT organizations face many diverse and ever-changing challenges that require flexibility in cloud deployment. Many companies have heard of the hybrid cloud and the opportunities it can offer, but like with all technologies, businesses want to know more. This webcast aims to shed more light on the topic, as we bring to you the insights of Forrester Research, business leaders and industry experts addressing similar situations. Extend your existing datacenter resources into public clouds with secure hybrid cloud. Improve business agility. Increase flexibility. Cut costs. During the hour, Dave Bartoletti, principal analyst at Forrester will be joined by industry experts and business leaders to discuss the challenges of hybrid cloud and how enabling choice and control across a secure hybrid cloud can help businesses simplify heterogeneous cloud deployment.
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cisco, cloud forrester, webinar, hybrid cloud
    
Cisco
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS
Published By: SAS     Published Date: Sep 30, 2014
As analytics and Big Data have been embraced, analysts are working to become better at communicating the insights from complex analysis. This makes the use of visual analytics increasingly important as a tool to tell compelling stories and to engage decision makers in dialogue. Importantly, the best visual analytics are not necessarily the coolest, most sophisticated, or most complex. Visual analytics are most effective when there is a clear purpose and when data can be visualized and communicated in a way that is easily understandable.
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sas, big data, visual analytics
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS
Published By: Logicalis     Published Date: Mar 12, 2014
Where’s the data center going? Industry analysts are pointing to modular computing. Designed for rapid deployment, energy efficiency and high-density computing, modular data centers deliver capacity at a lower cost than traditional construction methods. With significantly reduced construction time—from years to just a matter of months—and industry-standard components that are designed to meet immediate needs and slightly more, modular technology offers economies of scale that are particularly important in the new global economy. Learn more about modular computing in this whitepaper from Logicalis.
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logicalis, modular computing, data optimization, cloud computing
    
Logicalis
Published By: MapR Technologies     Published Date: Jan 08, 2014
Forrester Research shares seven architectural qualities for evaluating Big Data production platforms. In this webinar guest speaker Mike Gualtieri, Principal Analyst at Forrester, along with experts from MapR and Cisco, will present the following: • The 7 architectural qualities for productionizing Hadoop successfully • Architectural best practices for Big Data applications • The benefits of planning for scale • How Cisco IT is using best practices for their Big Data applications Speakers • Mike Gualtieri, Principal Analyst at Forrester Research • Jack Norris, Chief Marketing Officer at MapR Technologies • Andrew Blaisdell, Product Marketing Manager at Cisco • Sudharshan Seerapu, IT Engineer at Cisco
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
    
MapR Technologies
Published By: Symantec     Published Date: Oct 07, 2014
The Internet Security Threat Report provides an overview and analysis of the year’s global internet threat activity. The report is based on data from the Symantec™ Global Intelligence Network, which Symantec’s analysts use to identify, analyze, and provide commentary on emerging trends in the dynamic threat landscape. Highlights from the 2014 Internet Security Threat Report Key Findings • 91% increase in targeted attacks campaigns in 2013 • 62% increase in the number of breaches in 2013
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internet security, target attacks, breaches, threat activity, emerging trends, cybercrime
    
Symantec
Published By: Xiotech     Published Date: Apr 13, 2007
Organizations face a double whammy when it comes to data archive management. On one hand, the volume of digital and paper archives is growing exponentially. Industry analysts report that digital hard disk storage has grown 85 percent a year over the last eight years and 2.7 billion new sheets of paper are filed into folders every day.
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data archive, data management, storage, data warehousing, archive management, document search, search and retrieval, document management, document archive, xiotech
    
Xiotech
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