big data challenges

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Published By: Oracle     Published Date: Jan 08, 2018
In the age of the customer, businesses realize the need to take their big data insights further than they have before, in order to win, serve, and retain their customers. Todays modern company has more data than ever before and is now looking to derive insights from the data that will help propel it forward. As firms move data analytics to the cloud, there is a new set of challenges and barriers to overcome, but with the help of insights-platforms-as-a-service, companies will be able to innovate with data and drive business forward.
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Oracle
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
To compete in an era of mobility, big data, and always-on services, small and midsize businesses need to improve productivity and deliver new services fast. And thats a problem if youre living with servers that were not designed for todays challenges.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, productivity, business integration
    
Hewlett Packard Enterprise
Published By: Equinix     Published Date: May 18, 2015
This paper illustrates how organisations are becoming digital enterprises due to the technology implications of scale and volume.
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technology, digital economy, network, become a digital enterprise, mobile, social, cloud, big data, digital enterprise, digital infrastructure, equinox, hybrid infrastructure, equinix solutions, optimise your network, digital world challenges, networking, byod, infrastructure, network architecture, mobile computing
    
Equinix
Published By: SAS     Published Date: Jan 17, 2018
A picture is worth a thousand words especially when you are trying to find relationships and understand your data which could include thousands or even millions of variables. To create meaningful visuals of your data, there are some basic tips and techniques you should consider. Data size and composition play an important role when selecting graphs to represent your data. This paper, filled with graphics and explanations, discusses some of the basic issues concerning data visualization and provides suggestions for addressing those issues. From there, it moves on to the topic of big data and discusses those challenges and potential solutions as well. It also includes a section on SAS Visual Analytics, software that was created especially for quickly visualizing very large amounts of data. Autocharting and "what does it mean" balloons can help even novice users create and interact with graphics that can help them understand and derive the most value from their data.
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SAS
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, youll 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: 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 todays 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: 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: HP     Published Date: Dec 05, 2014
An IDG Connect survey of 300 enterprise organization decision makers involved in hardware investment decisions reveals the challenges and opportunities that lay between the old style of IT characterized by cost-cutting and infrastructure silos, with the new style of IT driven by the technology trends of Mobility, Cloud and Big Data. These trends have created a significant increase in business expectations that will press IT organizations to rethink their economics, service delivery and business performance. This paper highlights voice-of-the-IT-buyer research results for insight on the challenges and opportunities for IT organizations to drive innovation, transformation and improved delivery against business expectations.
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server, performance, efficiency, application, infrastructure, information technology, mobility, cloud, storage, data, speed, software
    
HP
Published By: HPE     Published Date: Feb 11, 2015
An IDG Connect survey of 300 enterprise organization decision makers involved in hardware investment decisions reveals the challenges and opportunities that lay between the old style of IT characterized by cost-cutting and infrastructure silos, with the new style of IT driven by the technology trends of Mobility, Cloud and Big Data. These trends have created a significant increase in business expectations that will press IT organizations to rethink their economics, service delivery and business performance. This paper highlights voice-of-the-IT-buyer research results for insight on the challenges and opportunities for IT organizations to drive innovation, transformation and improved delivery against business expectations. Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.
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HPE
Published By: Amazon Web Services     Published Date: Jul 25, 2018
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organizations 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 datas power to transform business, its critical that organizations overcome these challenges and realize the value of big data. Download now to find out more.
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Amazon Web Services
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
Forward-looking organizations are looking to next-generation all-flash storage platforms to eliminate storage cost and performance barriers. Advancements in all-flash technology have led to remarkable priceperformance improvements in recent years. The latest all-flash solutions from HPE deliver breakthrough economics, speed and simplicity, while improving availability and data durability. All-flash storage can help you reduce TCO and boost the performance of traditional applications as well as accelerate the rollout of new initiatives like IoT, big data and analytics. But moving data to a new storage architecture introduces a variety of organizational and technical challenges.
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Hewlett Packard Enterprise
Published By: MarkLogic     Published Date: Jun 09, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases arent equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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MarkLogic
Published By: Intel     Published Date: Apr 15, 2019
o With foot traffic falling and online shopping options growing, retailers must find new ways to digitize and understand real-world behavioral datasuch as in-store browsing patterns, staff attentiveness, and specific product interest in the same way that online retail utilizes big data to optimize online experiences. They must also find innovative ways to keep customers engaged with their brands, especially in expensive brick-and-mortar locations. In this environment, managing labor costs is critical, as these costs are second only to real estate. Assigning and enabling sales associates cost-effectively is key to profitability. Retailers have an opportunity to meet their challenges by putting new data and Internet of Things (IoT) technologies to work
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Intel
Published By: LogLogic     Published Date: Mar 15, 2012
"Big Data" is the latest buzzword, yet over 70% of companies don't know what Big Data means and how to solve the data management challenges, finds LogLogic survey.
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log management, siem, big data, storage, sem, pci compliance, it operations, data storage, data forensics, security intelligence, splunk, rsa envision, logrhythm, arcsight, compliance, hipaa, nitro security, q1 labs, security event management, syslog
    
LogLogic
Published By: Teradata     Published Date: Jan 30, 2015
Big Data analytics are a top priority at many companies today. Most hope to derive new insights from all available data to improve productivity, cut costs, reduce churn, enhance the customer experience, and seize new business opportunities.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, data management
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache Hadoop YARN and Teradata Aster Seamless Network Analytical Processing (SNAP) Framework. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management, cloud computing
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility, data management
    
Teradata
Published By: BMC Software     Published Date: May 28, 2014
"In the paper, Integrate Big Data into Your Business Processes and Enterprise Systems youll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include: How to ensure that your Big Data projects will drive clearly defined business value The operational challenges each Big Data initiative must address The importance of using an enterprise approach for Hadoop batch processing
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it management
    
BMC Software
Published By: Dell EMC     Published Date: Aug 22, 2017
By 2020 the digital universe the data we create and manage annually will reach 44 zettabytes, or 44 trillion gigabytes! 1 This growth has ushered in a new era of big data, and introduces challenges and opportunities to small and medium businesses trying to economically make sense of it. On the upside, more data means more opportunity for businesses (and consumers) to use data in new ways learning more about customers, speeding business cycles, and improving the efficacy of business workflows
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Dell EMC
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: IBM     Published Date: May 28, 2015
In this book, you look at how the Smarter Process approach helps you create a more customer-centric organization. You discover how four major technologies mobile, cloud computing, Big Data, and social collaboration are disrupting the way you do business and how you can work through the challenges.
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smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration, data center
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the taskso its time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
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database, growth, big data, it infrastructure, information management
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book 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.
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database, streamlining, it infrastructure, database systems
    
Group M_IBM Q1'18
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