data types

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Published By: DataStax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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DataStax
Published By: Oracle     Published Date: Mar 01, 2019
Most cloud infrastructure vendors offer companies a stable and secure environment on which to build and run their applications without having to manage a data center, invest in hardware, or install and update software. While most cloud vendors provide the same types of services, they differ in how they charge for and deliver those services.
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Oracle
Published By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Datastax     Published Date: Aug 27, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
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Datastax
Published By: Datastax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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Datastax
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q3'19
Published By: SAS     Published Date: May 24, 2018
Ongoing digitization has created vast streams of data, forcing businesses to become more data-driven than ever before. While the benefits of being a data-driven organization are clear (improved performance, more profitability, stronger innovations), there are still some technical and business challenges to overcome. Thanks to technological advancements in data analytics, companies in all types of industries can become data-driven. Read this e-book to discover what it means to be a data-driven organization and to learn the basic do’s and don’ts of how to get there.
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SAS
Published By: FICO     Published Date: Jan 11, 2018
Many organizations consider optimization only for their largest or most challenging business problems, often utilizing a small number of Operations Research professionals. But in our age of Big Data, market globalization and increased competition, many organizations are successfully making the case that optimization can be applied to a wider variety of business and operational decisions, and be developed by a new group of users — the organization’s business analysts. With a proven track record of results demonstrating that organizations can increase profitability with business analysts applying optimization to many types of business problems, FICO’s proven development methodology is giving organizations the confidence to extend optimization practices across their enterprises.
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business analyst, optimization, fico, partnership, credit, collections, banking, finance
    
FICO
Published By: Hortonworks     Published Date: Apr 05, 2016
Download this whitepaper to learn how Hortonworks Data Platform (HDP), built on Apache Hadoop, offers the ability to capture all structured and emerging types of data, keep it longer, and apply traditional and new analytic engines to drive business value, all in an economically feasible fashion. In particular, organizations are breathing new life into enterprise data warehouse (EDW)-centric data architectures by integrating HDP to take advantage of its capabilities and economics.
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Hortonworks
Published By: Oracle     Published Date: Oct 20, 2017
In this white paper, IDC discusses the inherent difficulties associated with traditional backup schemes and the changing dynamics of data protection strategies. We examine Oracle's Zero Data Loss Recovery Appliance (ZDLRA) and the role it can play in providing significantly improved service levels for all types of Oracle databases.
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Oracle
Published 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.
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replatforming, age, data, lake, apache, hadoop
    
StreamSets
Published By: Acronis EMEA     Published Date: May 18, 2015
This book is a guide to modern data protection for IT professionals that covers the simplest file backup scenarios to comprehensive protection strategies for businesses with complex IT environments.
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backup, data protection, data security, protection strategies, recovery, cloud computing, virtualization, backup types, recovery tools, data backup
    
Acronis EMEA
Published 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
Published By: Tenable     Published Date: Jan 25, 2019
"Web application attacks are the top source of data breaches today. The 2018 Cybersecurity Insiders Application Security Report reveals that 62% of cybersecurity professionals are at best moderately confident in their organization’s application security posture. Not surprisingly, about the same number consider their application security strategies immature.Applications play a critical role in supporting key business processes, but organizations are struggling to keep them safe. This eBook examines the 5 best practices for application security. Read this ebook now to understand: -Which types of apps present the highest security risk -Best practices for reducing security risks associates with web applications -Steps you can take now to secure web applications "
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Tenable
Published By: F5 Networks Inc     Published Date: May 03, 2017
Application delivery services are critical for successful applications. Whether such services add scalability, reliability, or security, most applications rely on one or more. Application Delivery Controllers (ADCs), therefore, occupy a critical place in most application, cloud, and data center designs. But what does "performance" actually mean? In general, ADC vendors publish four main types of metrics to demonstrate performance: Requests per second (RPS) Connections per second (CPS) Transactions per second (TPS) Throughput (often measured in gigabits per second, Gbps) Download now to learn more!
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application delivery controllers, cloud, data center, performance metrics
    
F5 Networks Inc
Published 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
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Amazon Web Services
Published By: HP Data Center     Published Date: Feb 18, 2009
Today's IT executives are not only expected to create and maintain high-availability IT environments, but they are also expected to implement green initiatives to satisfy customers, analysts, and government agencies that are worried about the impact of modern, energy-thirsty data centers on the environment. Is such a dual mandate reasonable? Can companies be expected to maintain service levels and reduce their carbon footprints at the same time? The White Paper offers a description of the different types of services available to improved energy efficiency data center design and a prescription for successful implementation.
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hp data center, energy efficiency, data center, high-availability it environments, green initiatives, it infrastructure, epeat, global commerce, hvac, crah, cdpr, power usage effectiveness, pue, go green, dcie
    
HP Data Center
Published 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
Published 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
Published By: Datastax     Published Date: Aug 03, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
Tags : 
    
Datastax
Published By: FICO     Published Date: Apr 07, 2018
High profile data breaches such as those at Equifax and MyFitnessPal have made everyone aware of cyber-risk. It is not only the cyber-risk that exists within your business you need to assess – do you understand the risk you inherit from the businesses you work with such as your: -Suppliers -Customers -Acquisitions and mergers For vital information about why you should assess the different types of organization you work with; and to learn how you can do this quickly and easily - Read our guide ‘Why Should You Understand the Cybersecurity Risk of the Businesses You Work with?’
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FICO
Published By: HP     Published Date: Jun 23, 2008
To stay competitive in today's business climate, organizations must find ways to meet their business needs while controlling IT costs. IT departments face flat budgets and, at the same time, find that their organizations have become increasingly dependent on uninterrupted access to business-critical data. In today's world, prudent IT administrators prepare to recover from two types of disasters as part of a complete Business Continuity and Availability (BC and A) plan.
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3 data center replication, 3dc, 4aa0-3153enw, storageworks, xp continuous access async, xp continuous access journal, xp continuous access synchronous, xp10000 disk array, xp12000 disk array, availability, business continuity, data center replication, disk array, wwenterprise, hp disaster proof, disaster-proof, disaster proof
    
HP
Published By: Comcast Business     Published Date: Mar 24, 2015
“The network is your business” has been a mantra for many years indicating how businesses rely more heavily on being networked between their facilities, data centers, suppliers, business partners and customers. Your network enables your business to: • Improve productivity • Provide business continuity • Increase customer satisfaction • Reduce costs This paper provides an overview of the different types of Ethernet services, the service components that differentiate them, their business and technical benefits, and important things to consider when selecting an Ethernet service.
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ethernet, business network, productivity, customer satisfaction, cost reduction
    
Comcast Business
Published By: IBM     Published Date: Oct 13, 2017
Analytics is game-changing and can produce valuable insights from the ever-growing volume, velocity and variety of data. Business Intelligence (BI) provides the foundation for many types of Analytics. It enables companies to deliver exceptional customer experience, enhance marketing effectiveness, increase operational efficiencies, reduce financial risks, improve product quality and reliability, and so on. But businesses are also challenged to generate timecritical actionable insights and make a compelling financial business case for BI investments.
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ibm, cognos analytics, business intelligence, customer experience, marketing
    
IBM
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional databases and data warehouses are evolving to capture new data types and spread their capabilities in a hybrid cloud architecture, allowing business users to get the same results regardless of where the data resides. The details of the underlying infrastructure become invisible. Self-managing data lakes automate the provisioning, reliability, performance and cost, enabling data access and experimentation.
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AWS - ROI DNA
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