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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: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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Amazon Web Services
Published By: TIBCO Software APAC     Published Date: May 31, 2018
With data the new competitive battleground, businesses that take advantage of their data will be the leaders; those that do not will fall behind. But gaining an advantage is a more difficult technical challenge than ever because your business requirements are ever-changing, your analytic workloads are exploding, and your data is now widely-distributed across on-premises, big data, the Internet of Things, and the Cloud. TIBCO® Data Virtualization is data virtualization software that lets you integrate data at big data scale with breakthrough speed and cost effectiveness. With TIBCO Data Virtualization, you can build and manage virtualized views / data services that access, transform, and deliver the data your business requires to accelerate revenue, reduce costs, lessen risk, improve compliance, and more.
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
The popularity of integration platform as a service (iPaaS) started with business users looking to gain control and share data among their proliferating SaaS apps?without needing IT intervention. iPaaS was then adopted by IT to support business users to ensure security measures were being maintained and to provide more of a self-service environment. Now, iPaaS has evolved from a niche solution to taking a much bigger role: Read this whitepaper to learn about: Drivers for cloud integration Five emerging uses cases for iPaaS that enable better responsiveness, APIs, event-driven capabilities, human workflows, and data analysis Questions to ask when evaluating your current solution
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
Big data has raised the bar for data virtualization products. To keep pace, TIBCO® Data Virtualization added a massively parallel processing engine that supports big-data scale workloads. Read this whitepaper to learn how it works.
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TIBCO Software APAC
Published By: Here Technologies     Published Date: Jul 19, 2018
With big data, you can understand your consumers better than ever before. But for smarter advertising, you need to harness a more complete view of your consumers, both online and offline. HERE Technologies enables advertisers to make sense of their dynamic user data and build more actionable insights, through audience segmentation, real-time location targeting and attribution.
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Here Technologies
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: IBM     Published Date: Aug 08, 2018
An IBM Cloud configuration completed a big data analytics workload in less time and with greater throughput than an AWS solution
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IBM
Published By: Workday France     Published Date: Aug 03, 2018
Comme pour tout changement, la route sera longue mais c’est une opportunité à saisir pour les RH. À long terme, si les systèmes et processus RH sont mis en place correctement, les équipes RH pourraient se retrouver sur le devant de la scène, fortes de l’efficacité de leurs  données dans le monde moderne des affaires  de plus en plus nourri par les données. Par conséquent, le RGPD peut permettre aux  RH de jouer un rôle de premier plan dans la révolution du Big Data, offrant des avantages  substantiels pour les performances  organisationnelles. 
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Workday France
Published By: Datastax     Published Date: Aug 07, 2018
The public sector has invested in big time in big data. But there’s one thing most public sector entities are dropping the ball on: real-time data, and how it can be combined with big data to increase citizen safety and make mission-critical digital transformation projects happen on-time and on budget. Read this white paper to learn why public sector entities need both big data and real-time data if they are going to deliver on their digital transformation promises.
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Datastax
Published By: ChannelAdvisor     Published Date: Jul 20, 2018
"The percentage of consumers making purchases online has officially outpaced those who don’t. But what does this mean for brands? Once tethered largely to wholesale and resale, the door has been opened for brands to try a variety of selling options. And they are. The time is now for brands to step into the e-commerce game and figure out the best approach for them. In this white paper, we’ll dive into six critical components that all brands should be watching as the industry evolves: - Customer connections - Relationships with retailers - Quality of product content - Marketplace management - Social commerce influence - Big data for brands"
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ChannelAdvisor
Published By: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
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AWS - ROI DNA
Published By: Adverity     Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics Marketing Data is big & highly fragmented Big data is messy. It’s scattered across platforms, it’s diverse, and in its raw form, it’s practically unusable. We know, it’s a painful truth. The fact of the matter is that having a lot of data doesn’t necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack. But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to. Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilá - your download is ready. Enjoy this read!
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: Adverity     Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC). It's full of inspiration, useful tips and actionable insights for you to step up your marketing game. In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal: Knowing what data to capture Understanding customer behaviour Finding your technology solution Ensuring analysis is impartial Optimising website content - especially for your offline users
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: Ultimate Software     Published Date: Feb 12, 2014
For financial business leaders and other c-level executives, moving away from unclear or ambiguous “improvements” to quantifiable measurements is crucial to the overall organization. Hard, meaningful data substantiates the execution of strategic, long-term business decisions. As technology is rapidly changing, executives can be challenged to find the right systems that drive business performance, provide competitive advantages, and increase the bottom line.
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Ultimate Software
Published By: Ultimate Software     Published Date: Feb 12, 2014
In this paper, we’ll examine 1) exactly what Big Data is 2) why it is particularly significant to today’s workforce and 3) how to best leverage it for optimal human capital management (HCM).
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Ultimate Software
Published By: MIT Academy of Engineering, Pune     Published Date: Mar 05, 2013
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
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MIT Academy of Engineering, Pune
Published By: IBM     Published Date: Jul 17, 2018
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running
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IBM
Published By: PayScale     Published Date: Jun 03, 2016
Employee compensation is the biggest line item for most businesses and spending it well is a priority for leaders in every organization. In PayScale’s “2016 Compensation Best Practices Report,” we heard from more than 7,000 business leaders about their pay practices and what they are adopting to improve business results. Read our latest eBook, “What top Performing Companies Do Differently” to discover the tactics being utilized by high performing companies and what strategies you can implement in your organization. Trends we’ll cover: - Pay transparency - Variable pay - The rise of data Get the eBook
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PayScale
Published By: Dakota Software     Published Date: Oct 25, 2017
Successful business in the 21st century is based on data: gathering it, managing it, leveraging it. The importance of data to create efficient and effective operations has grown exponentially in just a few years, tracking alongside the rapid proliferation of devices and the technological breakthroughs in networks and connectivity. Concepts like the Internet of Things (IoT) or Industry 4.0 have become as routine to EHS managers as duties related to employee health and safety. However, while EHS managers may understand the essence of big data, putting those ideals into practice is a much harder task. The sheer amount of data generated and collected is the greatest barrier. Want to learn more? Download our free paper today!
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Dakota Software
Published By: SAP     Published Date: Mar 09, 2017
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
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SAP
Published By: SAP     Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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SAP
Published By: HPE APAC     Published Date: Jun 16, 2017
The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility. Read on to find out more.
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HPE APAC
Published By: Cisco EMEA Tier 3 ABM     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 Tier 3 ABM
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