big data

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By: RSA Security     Published Date: Oct 24, 2013
Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
Tags : rsa, emc, enterprise strategy, big data, security, security analytics
     RSA Security
By: RSA Security     Published Date: Oct 24, 2013
Starting with a foundational set of data management and analytic capabilities enables organizations to effectively build and scale security management as the enterprise evolves to meet Big Data challenges.
Tags : rsa, emc, big data, security, security analytics, scale, security management
     RSA Security
By: RSA Security     Published Date: Jan 07, 2014
Watch this on-demand webcast to learn how you can accelerate your security transformation from traditional SIEM to a unified platform for incident detection, investigation and advanced security analysis. Understand why organizations are moving to a true big data security platform where compliance is a byproduct of security, not the other way around.
Tags : security analytics, siem, advanced threats, best practices, security visibility, log collection, security
     RSA Security
By: Red Hat     Published Date: Sep 25, 2014
Today’s mega IT trends – cloud computing, big data, mobile and social media –have dramatically altered how enterprises work, requiring datacenters to find new, more flexible and cost effective ways to meet computing demands. For most datacenters, the path toward tomorrow's compute paradigm mandates an investment in standardization and consolidation as well as a more robust adoption of enterprise virtualization software, along with cloud system software to extend that virtualized infrastructure into a true private cloud environment. Linux has emerged as one of the key elements to a modernization program for a datacenter.
Tags : datacenter, modernization, enterprise virtualization, infrastructure, private cloud enviornment
     Red Hat
By: HP     Published Date: Feb 02, 2015
Customers across all industries are transitioning to the 3rd Platform, where IT organizations are seeking to leverage mobile, social, cloud, and big data solutions to drive business value. At the same time, the pace at which the business operates is continually accelerating.
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     HP
By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
Tags : enterprise, nosql, relational, databases, data storage, management system, application, scalable
     MarkLogic
By: MarkLogic     Published Date: Nov 08, 2016
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Download now to learn more.
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     MarkLogic
By: Intel Security     Published Date: Oct 21, 2015
This white paper offers insights into how McAfee Server Security Suites tackles all of these challenges and provides better visibility across the entire enterprise data center.
Tags : mcafee, intel, security, data, center
     Intel Security
By: Oracle EPM     Published Date: May 11, 2015
Which EPM priorities are at the top of the Finance agenda? What are the most compelling developments in big data, analytics, mobile technology, and cloud computing that motivate Finance leaders to undertake new technology initiatives?
Tags : epm, finance, technology, cloud computing, big data
     Oracle EPM
By: Oracle EPM     Published Date: May 11, 2015
No matter how you define it, cloud, social, mobile, and big data are changing the competitive dynamics of the global economy and creating significant value for companies that know how to create business models leveraging these technologies.
Tags : finance, investment, big data, cloud computing
     Oracle EPM
By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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     Waterline Data & Research Partners
By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. Download this white paper to find out how you can improve your data preparation for business analytics.
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     Waterline Data & Research Partners
By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
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     Waterline Data & Research Partners
By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Enterprise architects and their peers need to read this report to navigate the vendor landscape of the important and emerging big data technology.
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     Waterline Data & Research Partners
By: Teradata     Published Date: Jul 15, 2015
This paper examines the value of big data applications as a means to ensure pervasive availability of big data analytics in the organization.
Tags : analytics, big data, applications, lob, data science, data visualization
     Teradata
By: Teradata     Published Date: Aug 27, 2015
While your specific data throughput mileage may vary, this paper will share the factors that directly contribute to a Data Movement solution, the data storage ecosystem alternatives, and the pitfalls you may face when attempting to architect such a solution in your data warehouse environment.
Tags : analytics, big data, applications, lob, data science, data storage, data visualization
     Teradata
By: FICO     Published Date: Nov 30, 2016
Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.
Tags : manufacturing optimizations, enterprise software, infrastructure
     FICO
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how IT ensures that they are empowering their users with the tools they need to naturally explore data, ask the next question, and uncover the insight they need to make informed decisions.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, big data, mobile
     Qlik
By: Datawatch     Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
Tags : datawatch, data preparation, data analytics, data analysis, analyst productivity, information management, business analytics, big data
     Datawatch
By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, analytics, data science, data storage
     IBM
By: IBM     Published Date: Jul 05, 2016
This e-book highlights the benefits of Hadoop across several industries and explores how IBM® Biglnsights for Apache™ Hadoop® combines open source Hadoop with enterprise-grade management and analytic capabilities.
Tags : ibm, analytics, big data, hadoop, enterprise, ibm biginsights, apache, enterprise management, data science, data storage, data visualization
     IBM
By: IBM     Published Date: Oct 21, 2016
The greatest challenge of the big data revolution is making sense of all the information generated by today's vast digital economy. It's well enough for an organization to collect every slice of data it can reach, but how does it extract value from this massive volume of information?
Tags : ibm, analytics, data science, data, big data, aps data, aps
     IBM
By: IBM     Published Date: Oct 27, 2016
IBM Analytics for Apache Spark for Bluemix is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to other technologies on the market today. Optimized for extremely fast and large scale data processing-you can easily perform big data analysis from one application.
Tags : ibm, apache spark, bluemix, analytics, data science
     IBM
By: VMware     Published Date: Jun 04, 2019
How can a software-defined data center help your company gain a bigger competitive advantage? To help your business stay competitive, your IT organization needs a modern data center that can provide the agility, security, and scalability required to drive innovation and growth in the digital era. Get suggestions and tips for modernizing your data center in this For Dummies guide.
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     VMware
By: CloudHealth by VMware     Published Date: Feb 13, 2019
Most organizations use public cloud to reduce costs, but end up spending way more than they expected. Google Cloud Platform is growing at a staggering rate for the business benefits and its rich features around Machine Learning, Artificial Intelligence, Big Data and Containers. However, it’s important to keep a tab on your spend while maximizing your cloud benefits. Reducing spend in GCP doesn’t need to be a process of trial and error -- there are proven ways to save money in your GCP environment without negatively impacting desired outcomes. Read this eBook to learn the 8 different ways to reduce your spend, including: -Terminating Zombie Assets -Deleting Unattached Persistent Disk -Rightsizing Compute Engine VMs Download to learn and practice these techniques to reduce spend in GCP.
Tags : cloud management, google cloud platform, multicloud management
     CloudHealth by VMware
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