data analyst

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By: snowflake     Published Date: Jun 09, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises datacenters.
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     snowflake
By: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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     Microsoft Azure
By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: Hewlett Packard Enterprise     Published Date: Feb 08, 2017
Explore four ways you can empower your data to help you meet your business goals in this analyst white paper from ESG. Download now.
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     Hewlett Packard Enterprise
By: Adobe     Published Date: Sep 12, 2017
"Read the guide to learn five ways to overcome challenges to programmatic ads, including how to: · Bring marketers, creatives, IT, and data analysts together to ensure success · Save money and time while improving engagement and conversion · Customize multiple versions of one campaign and serve ads with strong creative in real time"
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     Adobe
By: Gigamon     Published Date: Oct 25, 2017
Read the Joint Solution Brief Accelerate Threat Detection and Response to learn how Gigamon helps Splunk Enterprise users effectively analyze and remediate network security threats. Benefits include enhanced visibility and deeper, faster security analytics from precise, targeted network metadata generated from the traffic flowing in your network. Also learn how automation of common security tasks, across the Gigamon platform and third-party security tools, from within the Splunk platform helps increase analyst efficiency and reduce errors.
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     Gigamon
By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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     Datarobot
By: SAS     Published Date: Nov 04, 2015
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.
Tags : data visualization, sas, big data, visual analytics, data exploration, analysis
     SAS
By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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     Dun & Bradstreet
By: MarkLogic     Published Date: Jun 09, 2017
Your high-stakes data projects don’t have to end – as analysts predict – in failure. Don’t just rely on legacy technology and outdated thinking - the key is to start your next data project armed with the right technology and mindset to succeed. This paper will give you insights and guidelines to help you learn how to leverage all of your data to reach your data integration objectives with less time and expense than you might imagine. Change is good, and in this paper we’ll give you real-world examples of organizations that embraced change and found success.
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     MarkLogic
By: IBM APAC     Published Date: Aug 22, 2017
For any sized organization, securing data and networks today is a daunting task. New vulnerabilities are discovered almost daily; new malware strains are developed as soon as a detection script is written for the old ones; and cybercriminals can buy prepackaged exploit kits on the Darknet backed by professional support teams. As a security analyst, you need more than a few point solutions designed to defend the network’s edge. You need visibility, perspective and an innate sense of when things just don’t seem right.
Tags : ibm, qradar, cloud, analytics, flexibility, scalability, organization
     IBM APAC
By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay. Join guest speaker, Forrester Research VP and Principal Analyst, Boris Evelson and Oracle Analytics Senior Group Director, Jose Villacis as they discuss insights from an Oracle-commissioned study of North American enterprise analytics leaders.
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     Oracle Analytics
By: IBM     Published Date: Oct 14, 2016
This ebook presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Tags : ibm, database, database change, analytics, data science
     IBM
By: Liaison Technologies     Published Date: Nov 21, 2011
In this whitepaper, we describe how executive and IT management can get and maintain control of their company's data architecture to help meet business objectives. We describe the relationship between data integration projects and data architecture concepts and practices. We describe how the business planning and IT development processes that direct and leverage data integration projects depend on tooling. We describe breakthrough ways in which data architects, business analysts, programmers, and business users can collaborate to address their organization's pressing business challenges.
Tags : enterprise, soa, technology, liaison, business, data integration, data architecture, it management
     Liaison Technologies
By: Teradata     Published Date: Oct 15, 2012
Does your organization struggle to get new business insights from all data types with rapid exploration?
Tags : data scientists, analyst, statistician, quants, quantitative analyst, scientist, data science
     Teradata
By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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     CA Technologies
By: INT_AstuteIT_ABM_DoubleTouch_BENELUX     Published Date: Feb 23, 2018
Traditional organizations across the globe are transforming to compete against digital-only players, in restructuring to put the customer first. The world’s buying behavior - and people’s behavior in relation to technology - is quickly changing in connection with online distribution channels, smart devices, and their interplay with offline touchpoints. Siloed business systems and their old reporting lines need to shift, and synchronize - fast.
Tags : programme, manager, data, analyst, technical
     INT_AstuteIT_ABM_DoubleTouch_BENELUX
By: IBM     Published Date: Jul 05, 2016
This ebook presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Tags : ibm, database, database change, analytics, data storage
     IBM
By: Carbonite     Published Date: Jan 04, 2018
Backup and high availability are both essential forms of protection that fulfill different roles within a data protection strategy. So which type of protection is right for different systems? According to recent analyst reports, experts recommend a blended approach that aligns data protection with type of data.By aligning data protection with data urgency, businesses can ensure higher levels of resiliency and reduce demands on internal resources.
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     Carbonite
By: IBM     Published Date: Jul 26, 2017
While there has been improvement in the amount of time an attacker spends in a network before detection — decreasing from years to days in many cases — the ongoing delay illustrates just how elusive attackers still are compared to an organization's ability to detect a problem. IDC believes that actionable threat intelligence is going to be a significant factor in improving this metric. Threat intelligence has historically been seen as a complex set of activities reserved for security operations centers (SOCs) and advanced security analysts. The tools to collect and apply threat intelligence have generally not existed commercially and the ability to integrate threat intelligence into the traditional security workflow has not been available. Over the last few years, threat intelligence has been growing in importance within the security workflow.
Tags : data security, threat intelligence, security operations, advanced security analysts
     IBM
By: Teradata     Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs. This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
Tags : data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption, security integration
     Teradata
By: Drillinginfo     Published Date: Nov 18, 2015
The Bakken is a very large hydrocarbon-bearing subsurface rock formation underneath a large portion of the Williston Basin in North Dakota, Montana, Saskatchewan and Winnepeg. The Bakken has been the scene of many advancements in drilling technology – horizontal drilling, pad drilling and downspacing, to name a few. This first Edition of the DI Expert eBook by Drillinginfo, the premier provider of data and insights for oil and gas exploration decisions, is a collection of articles posted by our staff of engineers, analysts and geologists about the Bakken over the past year.
Tags : geologists, downspacing, innovations, oil, gas exploration, drilling
     Drillinginfo
By: Drillinginfo     Published Date: Nov 18, 2015
The Permian basin, a long time oil and gas producing region nestled in west Texas and southeastern New Mexico was once believe to have reached “Peak Oil” extraction levels. A significantly larger play than the booming Eagle Ford Shale, the Permian Basin has reemerged as a production pillar for the US, thanks to advancements in horizontal drilling and hydraulic fracturing. Although still in early stages of new production, the Permian has already transformed the local economies surrounding the play, adding to the energy security of the U.S. In this issue of the DI Expert eBook, by Drillinginfo, the premier provider of data and insights for oil and gas exploration decisions, our expert analysts have delved into the complexities of the geology in the Permian, highlighted the successes of operators in the region and provided in-depth analyses on the play’s re-emergence.
Tags : basin, permian, peak oil, extraction, energy security, geologists, downspacing, innovations, oil, gas exploration, drilling
     Drillinginfo
By: IBM     Published Date: Jul 06, 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.
Tags : ibm, mdm, big data, trusted data, data solutions, data science
     IBM
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