data variety

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By: Google Apigee     Published Date: Mar 06, 2019
Inside the API Product Mindset APIs expose data or functionality for use by applications and developers, which means they allow access to a business’s valuable digital assets—and thus to the heart of the business itself. Vulnerable APIs can expose a business’s core data and services to a variety of threats. Therefore, API security should be of paramount importance to any enterprise that exposes digital assets. Google Cloud’s new eBook, Building and Managing Secure APIs, takes a deeper look at the do’s and don’ts of enterprise API security. Explore how to design secure, easy-to-use APIs with field-tested best practices, real-world use cases and a checklist to help your team get started. What's Inside? ? Field-tested best practices ? Real-world use cases ? API monetization checklist
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     Google Apigee
By: Oracle     Published Date: Oct 20, 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 bette
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     Oracle
By: Oracle     Published Date: Oct 20, 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 bette
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     Oracle
By: Oracle     Published Date: Oct 20, 2017
This document discusses how to secure applications using Oracle Solaris 11 security and the hardware-assisted cryptography capabilities of Oracle’s SPARC servers. This document explores the end-to-end application security scenarios, technical prerequisites, configuration, deployment, and verification guidelines for multitier application deployments running on Oracle Solaris 11–based SPARC servers. In addition, this document covers the Oracle hardware-assisted cryptographic acceleration of the SPARC processor, a key feature when performance and data protection are deemed critical. The derived security benefits can be leveraged into a variety of solutions including application software, middleware, and infrastructure software.
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     Oracle
By: IBM APAC     Published Date: Oct 16, 2018
Modern AI, HPC and analytics workloads are driving an ever-growing set of data intensive challenges that can only be met with accelerated infrastructure. Designed for the AI era and architected for the modern analytics and AI workloads, Power Systems AC922 delivers unprecedented speed for the AI Era like up to 5.6 times as much bandwidth, which results from The only architecture enabling NVLink between CPUs and GPUs a variety of next-generation I/O architectures: PCIe gen4, CAPI 2.0, OpenCAPI and NVLINK. Proven simplified deep-learning deployment and AI performance
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     IBM APAC
By: Riverbed Technology, Inc.     Published Date: May 27, 2014
Data in branch and remote offices is subject to a variety of threats. Data centers are built to secure data, but remote offices lack the same level defenses. It’s now possible to eliminate the risks of branch office IT, consolidating servers and storage into the datacenter without sacrificing the benefits of having servers at the edge close to users.
Tags : datacenter, data security, consolidating servers, consolidating storage, data defense, enterprise expansion, edge close to users, riverbed, idg, security, enterprise applications, storage, data center
     Riverbed Technology, Inc.
By: Adobe     Published Date: Oct 24, 2018
The report combines data from a February 2018 executive survey of 401 email marketers and documented ESP demos related to three key themes. We also utilized vendor questionnaires and our near two-decades of knowledge of the providers in this sector. One-on-one phone interviews with several of the marketers who use these tools and our executive survey clients provided satisfaction data. The methodology details our entire recipe, but readers can feel confident in knowing that our vendor evaluation process is objective and does not stem from one analyst’s singular point of view. This guide also includes our analysis and perspective on vendors that did not for a variety of reasons participate in this research.
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     Adobe
By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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     AWS
By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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     Artemis Health
By: Gameffective     Published Date: Feb 26, 2019
Comdata Group is one of the world's largest business process outsourcing (BPO) providers. It operates hundreds of call-centers around the globe, with tens of thousands of employees offering, a variety of services, including sales and customer service. In a competitive BPO market, Comdata was looking for ways to increase the productivity and efficiency of its agents. It looked for a unified solution that would successfully engage employees, drive higher accountability and better focus them on their performance. Using Gameffective's platform, Comdata deployed gamified, real-time performance management. This process provides employees with the ability and motivation to self-track their performance against goals and benchmarks, and offers just-in-time coaching based on their needs. The results were impressive: 12% increase in sales per hour, and significant reductions in both new-hire learning curves and in ongoing training time. Read the case study to learn how Comdata: Increased emp
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     Gameffective
By: ForeScout     Published Date: Aug 14, 2012
Business wants more fluid access to data while IT organizations must maintain security. As the variety of access and multitude of threats to network resources and sensitive information have grown, so has the need for more flexible and automated ways to effectuate security policies, controls and enforcement. Rarely is this need more keenly felt than at the network endpoint, where people, technology, information assets and requirements for security and compliance meet most directly.
Tags : pragmatic, path, achieving nac results, essential implementation, process, control, consideration, data, access, it organization, security, protection, network, access, control, nac, interoperability, 802.1x standards, control, options
     ForeScout
By: Dell EMC     Published Date: Mar 18, 2016
EMC has recently enhanced its VNX block-based deduplication technology enabling flexible data reduction across a wide variety of use cases from virtual desktops to virtual servers and databases. While block-based deduplication is not new for VNX, this latest enhancement, according to EMC, offers up to a 3x better performance at half the response time.
Tags : emc, vnx, hybrid flash, deduplication, block-based, data reduction
     Dell EMC
By: AWS     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.
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     AWS
By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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     AWS
By: VMware     Published Date: Feb 24, 2017
Mobile device management (MDM) tools allow companies to connect their employees securely to basic corporate network resources. Enterprise mobility management (EMM) goes a step further by enabling secure mobile versions of business-critical applications and data loss prevention to protect corporate information. But in today's workplace, employees and businesses deal with a vast variety of devices with different operating systems and form factors, from PCs and laptops, to tablets and smartphones, and now, increasingly wearables and Internet of Things (IoT) endpoints. The solution is unified endpoint management (UEM), which enables organizations to take a consistent approach to manage and secure every endpoint, any app and content, and across deployment use cases from a single holistic platform. Read this whitepaper to uncover VMware AirWatch®'s leading UEM approach that is benefiting organizations tremendously.
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     VMware
By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
Tags : src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized, analyzed, visualized, mapped, database, gis, geographic business intelligence, data independence, etl, csv, delimited text file, mdb (both for microsoft access, esri personal geodatabase
     SRC,LLC
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: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Tags : big data, analytics, insurance, customer service, solutions
     IBM
By: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Tags : big data, analytics, insurance, customer service, solutions
     IBM
By: IBM     Published Date: Oct 13, 2017
This BARC document is the third edition of our BARC Score business intelligence vendor evaluation and ranking. This BARC Score evaluates enterprise BI and analytics platforms that are able to fulfill a broad set of BI requirements within the enterprise. Based on countless data points from The BI Survey and many analyst interactions, vendors are rated on a variety of criteria, from product capabilities and architecture to sales and marketing strategy, financial performance and customer feedback.
Tags : barc. business intelligence, analytics, customer feedback
     IBM
By: CDW     Published Date: Aug 04, 2016
As IT advances, organizations are adopting infrastructures that enhance agility and improve efficiency. Data centers are evolving to a state that is almost unrecognizable from only a few years ago. Numerous forces, such as cloud computing and powerful orchestration solutions, are combining to fundamentally change data centers, making them more powerful, sophisticated, flexible and efficient. Many organizations are adopting a hybrid infrastructure data center model that combines a variety of technologies and methodologies, including virtualization, private clouds and other internal IT resources, along with external options such as hosting, colocation, Software as a Service (SaaS) applications and Infrastructure as a Service (IaaS) offerings.
Tags : data center, best practices, technology, data, cloud, cloud computing
     CDW
By: AWS     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
     AWS
By: VMware     Published Date: Feb 24, 2017
Mobile device management (MDM) tools allow companies to connect their employees securely to basic corporate network resources. Enterprise mobility management (EMM) goes a step further by enabling secure mobile versions of business-critical applications and data loss prevention to protect corporate information. But in today's workplace, employees and businesses deal with a vast variety of devices with different operating systems and form factors, from PCs and laptops, to tablets and smartphones, and now, increasingly wearables and Internet of Things (IoT) endpoints. The solution is unified endpoint management (UEM), which enables organizations to take a consistent approach to manage and secure every endpoint, any app and content, and across deployment use cases from a single holistic platform. Read this whitepaper to uncover VMware AirWatch®'s leading UEM approach that is benefiting organizations tremendously.
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     VMware
By: VMware     Published Date: Feb 24, 2017
Mobile device management (MDM) tools allow companies to connect their employees securely to basic corporate network resources. Enterprise mobility management (EMM) goes a step further by enabling secure mobile versions of business-critical applications and data loss prevention to protect corporate information. But in today's workplace, employees and businesses deal with a vast variety of devices with different operating systems and form factors, from PCs and laptops, to tablets and smartphones, and now, increasingly wearables and Internet of Things (IoT) endpoints. The solution is unified endpoint management (UEM), which enables organizations to take a consistent approach to manage and secure every endpoint, any app and content, and across deployment use cases from a single holistic platform. Read this whitepaper to uncover VMware AirWatch®'s leading UEM approach that is benefiting organizations tremendously.
Tags : 
     VMware
By: VMware     Published Date: Feb 24, 2017
Mobile device management (MDM) tools allow companies to connect their employees securely to basic corporate network resources. Enterprise mobility management (EMM) goes a step further by enabling secure mobile versions of business-critical applications and data loss prevention to protect corporate information. But in today's workplace, employees and businesses deal with a vast variety of devices with different operating systems and form factors, from PCs and laptops, to tablets and smartphones, and now, increasingly wearables and Internet of Things (IoT) endpoints. The solution is unified endpoint management (UEM), which enables organizations to take a consistent approach to manage and secure every endpoint, any app and content, and across deployment use cases from a single holistic platform. Read this whitepaper to uncover VMware AirWatch®'s leading UEM approach that is benefiting organizations tremendously.
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     VMware
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