massive amounts data

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By: NetApp     Published Date: Dec 13, 2013
FlexPod Select with Hadoop delivers enterprise class Hadoop with validated, pre-configured components for fast deployment, higher reliability and smoother integration with existing applications and infrastructure.  These technical reference architectures optimize storage, networking, and servers with Cloudera and Hortonworks distributions of Hadoop. Leverage FlexPod Select with Hadoop to help store, manage, process and perform advanced analytics on your multi-structured data.   Tuning parameters, optimization techniques among other Hadoop cluster guidelines  are provided.
Tags : flexpod with hadoop, enterprise data, storage infrastructure, massive amounts of data
     NetApp
By: IBM     Published Date: Nov 14, 2014
Join Gartner, Inc. and IBM Platform Computing for an informative webinar where you will learn how to combine best of breed analytic solutions to provide a low latency, shared big data infrastructure. This helps government IT departments make faster decisions by analyzing massive amounts of data, improving security, detecting fraud, enabling faster decisions and saving cost by optimizing and sharing your existing infrastructure.
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     IBM
By: TIBCO Software EMEA     Published Date: Sep 21, 2018
BUSINESS CHALLENGE “Vestas is a global market leader in manufacturing and servicing wind turbines,” explains Sven Jesper Knudsen, Ph.D., senior data scientist. “Turbines provide a lot of data, and we analyze that data, adapt to changing needs, and work to create a best-in-class wind energy solution that provides the lowest cost of energy. “To stay ahead, we have created huge stacks of technologies—massive amounts of data storage and technologies to transform data with analytics. That comes at a cost. It requires maintenance and highly skilled personnel, and we simply couldn’t keep up. The market had matured, and to stay ahead we needed a new platform. “If we couldn’t deliver on time, we would let users and the whole business down, and start to lose a lot of money on service. For example, if we couldn’t deliver a risk report on time, decisions would be made without actually understanding the risk landscape.
Tags : data solution, technology solution, data science, streaming data, fast data platform, self-service analytics
     TIBCO Software EMEA
By: Great Bay Software     Published Date: Jul 16, 2018
"IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security"
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     Great Bay Software
By: Aryaka Networks     Published Date: Sep 06, 2018
Makino, a leader in manufacturing, required a global network to transfer massive amounts of data from their HQ to regional tech departments. Learn why Makino replaced their MPLS circuits with Aryaka.
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     Aryaka Networks
By: Amazon Web Services     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Tags : data, lake, amazon, web, services, aws
     Amazon Web Services
By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
Tags : data visualization, sas, big data, visual analytics, data exploration, analysis
     SAS
By: SAS     Published Date: Nov 04, 2015
Big data evolution: forging new corporate capabilities for the long term is an Economist Intelligence Unit report, sponsored by SAS. It explores how far along companies are on their data journey and how they can best exploit the massive amounts of data they are collecting.
Tags : sas, big data, big data evolution, economist intelligence unit, eiu, data journey, data science
     SAS
By: SAP     Published Date: May 22, 2012
With SAP In-Memory Computing, massive amounts of data can be queried and analyzed 3600 times faster than before -- turning questions into action and giving you insight you can act on immediately. Your competitors will still be pondering the numbers while you are making your next move. Discover this eBook to learn more.
Tags : sap, ebook, business, computing, technology, real-time, business technology, it management
     SAP
By: Oracle     Published Date: Sep 06, 2016
The transformation of supply chain management is happening now. IoT is driving that change, but supply chain analytics is instrumental in taming the massive amounts of data generated by IoT sensors, devices and objects and turning it into insight and into a competitive edge. Smart companies recognize this.
Tags : supply chain, supply chain management, oracle, security, security application
     Oracle
By: IBM     Published Date: Jul 26, 2017
The headlines are ablaze with the latest stories of cyberattacks and data breaches. New malware and viruses are revealed nearly every day. The modern cyberthreat evolves on a daily basis, always seeming to stay one step ahead of our most capable defenses. Every time there is a cyberattack, government agencies gather massive amounts of data. To keep pace with the continuously evolving landscape of cyberthreats, agencies are increasingly turning toward applying advanced data analytics to look at attack data and try to gain a deeper understanding of the nature of the attacks. Applying modern data analytics can help derive some defensive value from the data gathered in the aftermath of an attack, and ideally avert or mitigate the damage from any future attacks.
Tags : cyber attacks, data breach, advanced data analytics, malware
     IBM
By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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     Pure Storage
By: FICO     Published Date: Nov 30, 2016
FICO® Optimization Solutions for Manufacturers is an integrated and flexible modeling, solving and rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges. It helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.
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     FICO
By: Turn     Published Date: Jun 17, 2014
Every day, the Turn marketing platform collects massive amounts of data on consumer behavior, resulting in an unprecedented level of game-changing insights. Download this report to learn about the Digital Elite, the world's most valuable audience.
Tags : turn, advertising intelligence, global programmatic, programmatic spending, global advertising, cpm changes, growth percentage, regional insights, ad spend, spending trends, real-time insights, analytic platforms
     Turn
By: Amazon Web Services     Published Date: Nov 15, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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     Amazon Web Services
By: FICO     Published Date: Jun 06, 2017
Want to solve rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges? Optimizing supply chain strategies helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.
Tags : manufacturing, manufacturing optimization, manufacturing solutions
     FICO
By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
Tags : 
     Amazon Web Services
By: Great Bay Software     Published Date: Apr 12, 2018
"IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security"
Tags : 
     Great Bay Software
By: Amazon Web Services     Published Date: Nov 02, 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. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Tags : 
     Amazon Web Services
By: McAfee EMEA     Published Date: Nov 15, 2017
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
Tags : analytics, security, problem solving, creative, data, researching, malware
     McAfee EMEA
By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
Tags : src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract, transform, load, spatial analysis, operational data stores, ods, spatial data, etl, cdi, point of sale, retail floor space management, rfsm, alteryx
     SRC,LLC
By: CDW     Published Date: Aug 04, 2016
With capacity demands growing constantly, storage environments must take advantage of both spinning-disk and flash technology. For decades, data center managers have faced a constant struggle to efficiently store and retrieve the massive amounts of information that their facilities collect, create and serve up to users. Being able to store and retrieve data quickly and cost-effectively is paramount to running a successful data center. But as the amounts of data that organizations store and retrieve grow at exponential rates, the challenges become thornier. Download this white paper to learn more!
Tags : best practices, technology, data, data center, demands, storage, white paper
     CDW
By: IBM     Published Date: Jul 27, 2015
Read this issue to learn how to tap into the massive amounts of data and information across your organization.
Tags : cloud-based data management, sustainability energy, future of energy, data analytics, utility analytics, grid optimization, advanced analytics integration, cloud-based services
     IBM
By: IBM     Published Date: Oct 09, 2015
Read this issue of Spotlight on Energy & Utilities from IBM featuring research from Gartner to learn how to tap into the massive amounts of data and information across your organization.
Tags : ibm, energy, utilities, research, gartner, power usage, sustainable energy, analytics, data science
     IBM
By: SAS     Published Date: Mar 20, 2012
The banking sector routinely manages massive amounts of data, ranging from financial transactions to customer, operational and regulatory data. All this data means big challenges - but also big opportunities - for the industry. Find out more now!
Tags : sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
     SAS
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