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Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
From small organizations using spreadsheets and visual discovery tools to large enterprises trying to improve data quality and delivery, data preparation difficulties are a major concern. Download your complimentary copy of the full report so you can tackle your data preparation challenges.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Read this whitepaper and see why the shift toward self-service data analytics is empowering leading analysts and analytic teams to improve processes, eliminate repetitive tasks, build better relationships with IT, and deliver deeper insights faster.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download now and learn why your peers at Experian, EMC Corporation, Cardinal Health, and many other organizations are using Alteryx Server to deploy and share analytics at scale.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this IDC InfoBrief to get the full details of the survey, and understand the impact that advanced spreadsheet usage is having on the data preparation and analytic processes throughout organizations.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
If you are like many data analysts you spend most of your time preparing data – leaving you less time to visualize data.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
To learn how to get your Tableau datasets faster, download the How To Guide “6 Steps to Faster Data Blending for Tableau.”
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download now and learn how Alteryx and Microsoft Power BI help accelerate data blending and advanced analytics consumption for everyone in your organization.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Learn how to speed up data preparation tasks so that you can spend more time creating richer visualizations in Power BI. Download the Cookbook “6 Steps to Richer Visualizations Using Alteryx for Microsoft Power BI”.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Learn how organizations like Southwest Airlines are using self-service data analytics to make faster, more accurate decisions.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this paper now and start to deliver the self-service data analytics that your organization requires.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this paper now and start to deliver the self-service data analytics that your organisation requires.
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Alteryx, Inc.
Published By: Altiscale     Published Date: Mar 30, 2015
Implementing and scaling Hadoop to analyze large quantities of data is enormously complicated. Unforeseen, very challenging problems are to be expected. However, if you can learn to recognize the problems before a fire starts, you can prevent your hair (and your Hadoop implementation) from igniting. From the Hadoop experts at Altiscale, here are some of the danger signs and problems you should watch out for, as well as real-world lessons learned for heading them off.
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implementing and scaling, data analysis, hadoop scaling, it management, data management
    
Altiscale
Published By: Altiscale     Published Date: May 28, 2015
Big Data technologies are maturing and quickly moving into the next phase - one that expands in data use-cases as Hadoop moves into more influential roles throughout IT infrastructures. In this just-released report, Gartner is recognizing four Big Data vendors as "cool." Gartner says these vendors can meaningfully and synergistically combine multiple types of functionality.
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big data, vendors, functionality, cool vendors, consistent performance, it management, data management; add - gartner, hadoop, data management
    
Altiscale
Published By: Altiscale     Published Date: May 28, 2015
Altiscale’s Hadoop-as-a-Service can reduce costs and improve data scientist productivity, resulting in products, services, and insights realized sooner.
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hadoop-as-a-service, data improvement, data productivity, economic benefits, economic impact, big data, forrester, it management
    
Altiscale
Published By: Altiscale     Published Date: Aug 25, 2015
Weren't able to attend Hadoop Summit 2015? No sweat. Learn more about the latest Big Data technologies in these technical presentations at this recent leading industry event. The Big Data experts at Altiscale - the leader in Big Data as a Service - have been busy at conferences. To see all four presentations (in slides and youtube video), click here. https://www.altiscale.com/educational-slide-kit-2015-big-data-conferences-nf/ • Managing Growth in Production Hadoop Deployments • Running Spark & MapReduce Together in Production • YARN and the Docker Ecosystem • 5 Tips for Building a Data Science Platform
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hadoop, hadoop technologies, hadoop information
    
Altiscale
Published By: Altiscale     Published Date: Aug 25, 2015
Hype abounds about Big Data. And it's hard to know how to effectively exploit its potential. Learn how to separate fact from fiction in this new webinar + research note titled "Amazon EMR is Easy and 7 Other Myths." If you're considering launching a new Big Data initiative, or if you are currently struggling with Amazon EMR, view this 30 minute on-demand webinar + research note and dispel the most common untruths about Amazon EMR, as determined by leading Hadoop experts. Specifically, you'll learn: • The differences between Hadoop-as-a-Service and Amazon EMR • Why Hadoop on Amazon is not elastic • Why EMR is not a "plug-n-play" application • How costs get out of control with Amazon EMR
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amazon emr, big data, haddop
    
Altiscale
Published 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.
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big data, analytics, nexgen, hadoop, apache, networking
    
Altiscale
Published By: Amacai     Published Date: Oct 03, 2008
Data is at the core of your business. And yet, complete and accurate data is harder and harder to come by these days. Traditionally, the White Pages and Directory Assistance have been the main source of marketing data, whether it's direct marketing lists, base-file compilations or database verification and enhancement.
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targusinfo, whitepapers, lead generation, whitepages, voip, wireless service
    
Amacai
Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis, insights, customer sentiment, big data analysis, business technology
    
Amazon
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: Amazon Web Services     Published Date: Nov 28, 2017
So you’re thinking about moving to the cloud. Which means you’ve got some new (and some old) security issues to think about. Where do you start? What should you look for when you’re planning your cloud migration or expansion, and what features do you need to tick off your list when you compare partners for the project? At AWS, we’ve worked with millions of cloud users in 190 countries, from all kinds of industries – large enterprise, start-ups, non-profits, education and government. Every organisation's needs are different, but we’ve identified the top features of any successful cloud security initiative. Here are six must-haves for cloud security confidence.
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integration, security, compliance, visibility, control, privacy, data, marketplace
    
Amazon Web Services
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
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