big data

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By: Semcasting     Published Date: Feb 19, 2014
Despite the fact that digital advertising is experiencing explosive growth, the industry still faces two significant challenges that can impede campaign performance: reach to unique users and data verification. In order to attract brand advertisers that are still spending a large portion of their budget on traditional media, the industry must find a better targeting solution. In this white paper from Semcasting, you will learn more about the limitations of cookie-based behavioral targeting and how a new solution called IP Zones can dramatically increase both the scale and accuracy of online display campaigns.
Tags : digital targeting, ip targeting, online business marketing, online targeting, online ad targeting, internet marketing, online marketing, online marketing strategies
     Semcasting
By: SevOne     Published Date: Jul 07, 2015
Because inventory is usually one of the biggest numbers on their balance sheet, effective inventory control and management is a vital function to help insure the continued success of distribution and manufacturing and companies.
Tags : erp, inventory management, big data, manufacturing, distribution
     SevOne
By: Silver Peak     Published Date: Jun 24, 2013
Enterprises are relying on WANs to carry more data than ever. With cloud computing, offsite disaster recovery and big data on the rise, it's more important than ever for IT professionals to boost application performance across the WAN. However, times are changing. Instead of deploying a physical WAN optimization appliance to improve application performance, the industry is moving to a better approach - virtual WAN acceleration software. It can be downloaded in minutes, runs almost anywhere, and controlled with the click of a mouse for maximum flexibility. In this report we not only explore the requirements for virtual WAN optimization but compare how Silver Peak's virtual WAN acceleration stacks up against Riverbed's physical Steelhead appliance.
Tags : enterprises, cloud computing, offsite disaster recovery, big data, technology, virtual wan, software, optimization
     Silver Peak
By: Silver-Peak     Published Date: Mar 21, 2012
Cloud architectures. Remote access to big data. Application performance in an increasingly networked world. A renewed focus on DR/BC based on instant replication between multiple data centers. All are driving a need for more flexible WAN optimization that can be cost effectively deployed across both private and public networks.
Tags : wan, optimization, data management, data center, silver peak, technology, network, network management
     Silver-Peak
By: SmartFocus     Published Date: Aug 25, 2015
Combining, streamlining and analyzing data is still the biggest single struggle for marketers. Most marketers can’t use data for simple offer based marketing, let alone sophisticated contextual marketing. Part 1 of our ‘Overcoming Marketing Challenges’ White Paper series discusses how data has become a barrier for many marketers and four data steps you can take to engage more successfully with your customers.
Tags : data, data marketing, personalization, contextualization, email marketing, customer behavior, segmentation, customer engagement
     SmartFocus
By: Snowflake     Published Date: Apr 14, 2015
Learn why Snowflake is reinventing the data warehouse to meet the changing nature of data and its usage within the enterprise.
Tags : snowflake, data warehouse, cloud computing, big data
     Snowflake
By: Snowflake     Published Date: Apr 14, 2015
Find out why data professionals are NOT replacing their data warehouse with Hadoop—read the survey
Tags : dimensional research, data professionals, data warehouse, cloud computing, big data, new technology
     Snowflake
By: snowflake     Published Date: Jun 09, 2016
Why Read This Report In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
Tags : 
     snowflake
By: snowflake     Published Date: Jun 09, 2016
THE CHALLENGE: DATA SOLUTIONS CAN’T KEEP PACE WITH DATA NEEDS Organizations are increasingly dependent on diff erent types of data to make successful business decisions. But as the volume, rate, and types of data expand and become less predictable, conventional data warehouses cannot consume all this data eff ectively. Big data solutions like Hadoop increase the complexity of the environment and generally lack the performance of traditional data warehouses. This makes it difficult, expensive, and time-consuming to manage all the systems and the data.
Tags : 
     snowflake
By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
Tags : forrester, enterprise, data, technology, best practices, innovation, security
     SnowFlake
By: Spectrum Enterprise     Published Date: Oct 05, 2017
Catskill Hudson Bank has grown from its roots as a community bank serving Sullivan County, NY to providing services to business customers across five counties by merging small-town customer service with "a big-bank technology backbone." As a result of this growth and to better respond to today's business customers, the bank needed better connectivity, reliability, and functionality than its existing network could provide. Read this case study to learn how Catskill Hudson Bank can push over 30 time more data over its network than before with better reliability, speed, and security.
Tags : 
     Spectrum Enterprise
By: Splice Machine     Published Date: Feb 13, 2014
Hadoop: Moving Beyond the Big Data Hype Let’s face it. There is a lot of hype surrounding Big Data and adoop, the defacto Big Data technology platform. Companies want to mine and act on massive data sets, or Big Data, to unlock insights that can help them improve operational efficiency, delight customers, and leapfrog their competition. Hadoop has become popular to store massive data sets because it can distribute them across inexpensive commodity servers. Hadoop is fundamentally a file system (HDFS or Hadoop Distributed File System) with a specialized programming model (MapReduce) to process the data in the files. Big Data has not lived up to expectations so far, partly because of limitations of Hadoop as a technology.
Tags : sql-on-hadoop® evaluation guide, splice machine, adoop
     Splice Machine
By: Splunk     Published Date: Apr 16, 2012
Discover a unique approach to handling large, semi-structured or unstructured time-series data. Splunk can be deployed in a matter of days to provide rapid cross-correlation between different data types-giving you unprecedented operational visibility.
Tags : splunk, data, analyzying, decision making, ime-series data, log management, log management software, manage logs
     Splunk
By: Splunk     Published Date: Jul 23, 2012
Current IT security tools and mindsets are no longer adequate to meet the scope and complexity of today's threats.
Tags : splunk, big data, future of security
     Splunk
By: Splunk     Published Date: Sep 17, 2012
Read this white paper to understand the evolving security landscape and how advanced persistent threats and sophisticated malware have fundamentally changed the way security teams must think about threats and the tools used for detective controls.
Tags : security threats, it security infrastructure, data protection, data loss prevention, data management, security intelligence, security
     Splunk
By: Splunk     Published Date: Oct 15, 2012
Supporting a Big-data Approach for Security Intelligence
Tags : splunk, security, malware protection, security, it infrastructure, security intelligence
     Splunk
By: Splunk     Published Date: Aug 21, 2018
SIEM (security information and event management) software offers a lot of promise, but legacy SIEMs simply can't keep up with the rate and sophistication of today's cyberattacks. Organizations today require access to analytics-driven SIEMs that combine a big data platform that is optimized for machine data with advanced analytics, threat detection, monitoring tools, incident response tools and multiple forms of threat intelligence. Download your complimentary copy of “The Six Essential Capabilities of an Analytics-Driven SIEM” and learn how to dramatically improve your security posture, advanced threat detection and incident response.
Tags : 
     Splunk
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
     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
     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
     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
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