big data

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Published By: ADP     Published Date: Jun 01, 2018
Too remedial. Too retrospective. Too static. Too irrelevant to the team leader. Too time-consuming. Such are the complaints heard repeatedly about Performance Management and Engagement systems. And these don’t even touch on the biggest problem of all: current systems produce a tidal wave of unreliable data. The ratings they yield are based on the notion that, with enough time and training, managers (and peers) can become reliable raters of other people’s skills and competencies. Sadly, that’s not true. A large body of research reveals: 61% of your manager’s rating of you is a reflection of the manager, not of you. Your organization, apparently unaware of this, then persists on paying you, training you, and promoting you—and everyone else in the organization—based on these flawed ratings.
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ADP
Published By: SAP     Published Date: May 03, 2016
Analyzing big data is critical for enterprises to serve customers and improve overall business performance.
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sap, forrester, data access, data, big data, customer insights, enterprise applications, data management, business technology
    
SAP
Published By: Lenovo and Intel     Published Date: Apr 28, 2017
“The biggest problem with big data is using it.” Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, and some clear recommendations on how to proceed. Get the white paper to see Forrester's key findings.
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lenovo, lenovo sap, data potential, using data, big data challenges, forrester, forrester paper, analyzing big data, data recommendations, lenovo technology
    
Lenovo and Intel
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Adobe     Published Date: Aug 30, 2017
Marketing leaders will find a host of new vendors in this year's Magic Quadrant for multichannel campaign management. Vendors are focused on integrating machine learning, personalization and ad tech capabilities into big data foundations for deeper customer engagement.
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Adobe
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle CX
Published By: Infosys     Published Date: May 30, 2018
In the wake of data hacks and privacy concerns, enterprises are working extra hard to make sure they secure customer data from external threats. But what about securing data internally? Organizations unknowingly leave a big security hole in their own systems when they fail to have structured internal processes to handle access requests for employees, which could have disastrous implications for data security. A leading US bank sought to move its internal applications to a secure system for a standard and consistent access rights experience. See how Infosys helped and the five key takeaways from the project.
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internal, applications, data, hacks, privacy, enterprises
    
Infosys
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 01, 2018
Why Read This Report The demand for databases is on the rise as organizations build next-generation business applications. NoSQL offers enterprise architecture (EA) pros new choices to store, process, and access new data formats, deliver extreme web-scale, and lower data management costs. Forrester’s 26-criteria evaluation of 15 big data NoSQL solutions will help EA pros understand the choices available and recommend the best for their organization. This report details our findings about how each vendor fulfills our criteria and where they stand in relation to each other to help EA.
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nosql, market, industries, strategy, presence, vendor
    
AstuteIT_ABM_EMEA
Published By: Dell EMC     Published Date: Nov 09, 2015
The webinar is an excellent resource to provide attendees with the kind of comprehensive and collaborative perspective needed when exploring the implementation of big data solutions. The real-world examples provide information that can enable better decisions for designing best-of-breed big data solutions for organizations.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 09, 2015
Download this whitepaper and learn more about the multitude of ways that big data can be used to proactively monitor behavior and identify security threats to an organization
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Dell EMC
Published By: Dell EMC     Published Date: Nov 09, 2015
Download this whitepaper and learn how planning security for a big data solution is similar to that of other data-centric platforms deployed by many IT departments.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data. Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 09, 2015
Download this white paper and learn how the Dell Hybrid HPC solution delivers a hybrid CPU and GPU compute environment with the PowerEdge C6320 and C4130 to: - Optimize workloads across CPU/GPU servers - Deliver the highest-density, highest-performance in a small footprint - Provide significant power, cooling and resource utilization benefits - Lower cost of ownership and enhance reliability through integrated Dell Remote Access Controller (iDRAC) and Lifecycle Controller
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
The information presented here draws on the collective experiences of three leaders in the use of Hadoop technologies—Dell® and its partners Cloudera® and Intel®.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
In this article, learn how Dell working with Intel® helps IT leaders overcome the challenges of IT and business alignment, resource constraints and siloed environments through a comprehensive big data portfolio based on choice and flexibility, redefined economics and connected intelligence.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
This paper discusses how the many Dell | Cloudera Hadoop solutions help organizations of all sizes, and with a variety of needs and use cases, tackle their big data requirements.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Big data can be observed, in a real sense, by computers processing it and often by humans reviewing visualizations created from it. In the past, humans had to reduce the data, often using techniques of statistical sampling, to be able to make sense of it. Now, new big data processing techniques will help us make sense of it without traditional reduction.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
In order to protect big data today, organizations must have solutions that address four key areas: authentication, authorization, audit and lineage, and compliant data protection.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn how to big data more manageable while condensing vast amounts of information into actionable business insights.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper for: • An overview of how manufacturing can benefit from the big data technology stack • A high-level view of common big data pain points for manufacturers • A detailed analysis of big data technology for manufacturers • A view as to how manufacturers are going about big data adoption • A proven case study with: Omneo
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Dell EMC
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