big data

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By: Splunk     Published Date: Aug 22, 2018
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities
Tags : it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
     Splunk
By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
Tags : cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
     Splunk
By: Splunk     Published Date: Nov 29, 2018
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences. Download the e-book to learn how: Micron Technology reduced number of IT incidents by more than 50% Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
Tags : predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
     Splunk
By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
Tags : predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
     Splunk
By: Sponsored by HP and Intel®     Published Date: Nov 02, 2012
This report covers the challenges of first generation deduplication technology and the advantages of next-gen deduplication products. Next generation Dedupe 2.0 systems use a common deduplication algorithm across all storage systems.
Tags : deduplication, dedupe 2.0, it resources, it infrastructure
     Sponsored by HP and Intel®
By: Sponsored by HP and Intel®     Published Date: Feb 20, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
Tags : dedupe 2.0, store(once), deduplication, strategy, data source
     Sponsored by HP and Intel®
By: Sponsored by HP and Intel® Xeon® processors     Published Date: May 07, 2012
The type of server you install in a data center can have a big impact -- Knowing and choosing the appropriate server type can extend the effective life of your data center, saving millions of dollars, and make room to add new systems.
Tags : power, cooling, space, lifecycle, operations, flexibility, serviceability, data center, redefine, expectations, productivity, experience, storage performance, servers, gen8, intel, proliant
     Sponsored by HP and Intel® Xeon® processors
By: Sponsored by HP and Intel® Xeon® processors     Published Date: Apr 11, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
Tags : dedupe 2.0, store(once), deduplication, strategy, data source
     Sponsored by HP and Intel® Xeon® processors
By: Staples     Published Date: Jun 01, 2017
Where IT departments were once considered a cost of doing business, today's data center is part of the strategic planning that drives the company forward and increases return for stakeholders. Creating a roadmap for your IT strategy and infrastructure requires careful planning, along with a thorough evaluation of your current state and a detailed view of what you wish to accomplish. Read this white paper to get the big picture of what is necessary to create the best cooperative experience for your data center, office operations, and end users.
Tags : staples business advantage, it strategy, it infrastructure
     Staples
By: Storiant     Published Date: Mar 16, 2015
Read this new IDC Report about how today's enterprise datacenters are dealing with new challenges that are far more demanding than ever before. Foremost is the exponential growth of data, most of it unstructured data. Big data and analytics implementations are also quickly becoming a strategic priority in many enterprises, demanding online access to more data, which is retained for longer periods of time. Legacy storage solutions with fixed design characteristics and a cost structure that doesn't scale are proving to be ill-suited for these new needs. This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model. The report also looks at the role of Storiant and its long-term storage services solution in the strategically important long-term storage market.
Tags : storiant, big data, analytics implementations, cloudbased pricing model, long-term storage services solution, long-term storage market
     Storiant
By: StreamSets     Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
Tags : replatforming, age, data, lake, apache, hadoop
     StreamSets
By: StreamSets     Published Date: Sep 24, 2018
Treat data movement as a continuous, ever-changing operation and actively manage its performance. Before big data and fast data, the challenge of data movement was simple: move fields from fairly static databases to an appropriate home in a data warehouse, or move data between databases and apps in a standardized fashion. The process resembled a factory assembly line.
Tags : practices, modern, data, performance
     StreamSets
By: StreamSets     Published Date: Sep 24, 2018
Imagine you’re running a factory but without a supply chain management system or industrial controls. Instead, you expect your customers to find and fix your delivery and quality problems. Sound ludicrous? Well, in many enterprises that’s the current “supply chain management” process for big and fast data. It relies on the lightly monitored dumping of unsanitized data into a data lake or cloud store, forcing data scientists and business users to deal with failures from data availability and accuracy issues.
Tags : dataflow, operations, factory, industrial
     StreamSets
By: Success Factors     Published Date: Aug 10, 2012
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
Tags : successfactors, sap, best practices, workforce planning, data-driven decisions, workforce analytics, data mining, predictive modeling, skills gaps, workforce manager, big data, fact-based decisions
     Success Factors
By: Success Factors     Published Date: Jul 08, 2014
From data to intelligence in 5 simple steps. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
Tags : success factors, big data, intelligence, hr metrics, practical guidance
     Success Factors
By: Success Factors     Published Date: Jul 10, 2014
From data to intelligence in 5 simple steps. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
Tags : success factors, big data, intelligence, hr metrics, practical guidance
     Success Factors
By: SumTotal, a Skillsoft Company     Published Date: Aug 24, 2015
This paper examines how the role of the CIO has been evolving to meet today’s new world of IT.
Tags : cio, influencer, skillsoft, changing technology, big data, business strategy
     SumTotal, a Skillsoft Company
By: Talend     Published Date: Nov 02, 2018
Siloed data sources, duplicate entries, data breach risk—how can you scale data quality for ingestion and transformation at big data volumes? Data and analytics capabilities are firmly at the top of CEOs’ investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the Definitive Guide to Data Quality can help. Download the Definitive Guide to learn how to: Stop bad data before it enters your system Create systems and workflow to manage clean data ingestion and transformation at scale Make the case for the right data quality tools for business insight
Tags : 
     Talend
By: Tealium     Published Date: Mar 12, 2014
In this paper, Web Analytics Demystified presents an approach towards big data that has the potential to simplify the quest for “whole customer” data and improve your company’s odds of success.
Tags : tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, marketing, marketing optimization, web analytics
     Tealium
By: Tealium     Published Date: Mar 12, 2014
“The Rise of Data Activism: How Digital Data Distribution Platforms (D3P) Enable Marketers to Act on Their Data” discusses how marketers can solve the optimization gap and leverage new solutions to take action on their most actionable audience segments in real time.
Tags : tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, digital data distribution platform, d3p, marketing, data, data activism, data consolidation, digital marketing
     Tealium
By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
Tags : data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics
     Teradata
By: Teradata     Published Date: Jan 30, 2015
Enterprise Hadoop Implementation with Teradata and Hortonworks
Tags : ncr, big data, data warehouse, enterprise hadoop, hadoop implementation, teradata, hortonworks, performance data
     Teradata
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.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology
     Teradata
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.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures
     Teradata
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.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility
     Teradata
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