transactional data

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Published By: Gigaom     Published Date: Sep 17, 2019
Today’s data volumes, combined with the credo of data-driven everything, make for an analytics landscape radically different from that of years past. Delays involved in moving and shaping operational data into separate data warehouses, data lakes and standalone BI platforms can thwart effective operational analytics. In fact, for some organizations, such segregation of infrastructure and process may not work at all. Just because OLTP (Online Transactional Processing) and OLAP (Online Analytical Processing) are distinct workloads doesn’t mean they should take place on separate platforms. Sure, dedicated server nodes may make sense to optimize the performance of operational and analytical tasks, but they need to operate on the same data, in a coordinated fashion. Modern databases – serving the needs of both business analysts and application developers – are great platforms for implementing such business-forward architectures. To learn more, join us for this free 1-hour webinar from Gig
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Gigaom
Published By: Dell EMC     Published Date: Aug 01, 2019
In the Principled Technologies datacenter, we tested the All-Flash Dell EMC SC5020 storage array and the HPE Nimble Storage AF5000 array to see how well they performed while handling two workloads at once. The Dell EMC array handled transactional database workloads and data mart imports better than the HPE solution without sacrificing performance. Download this whitepaper from Dell and Intel® to learn more.
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Dell EMC
Published By: KPMG     Published Date: Jun 06, 2019
Traditional strategies for driving sales are no longer enough. Brands that only connect with customers on a transactional basis are losing out to more innovative brands that create a richer experience for customers. Read this story to find out: • how we developed a digital strategy to restore growth to an iconic sporting brand • how data can drive a dynamic connection with customers and create new opportunities for growth • key principles for developing your own digital strategy.
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KPMG
Published By: Workday     Published Date: Jan 17, 2019
At Workday, we take a unique approach to development. We build one technology platform, on a single codeline, giving you a single security model and one source of truth. See how our singular methodology delivers real-time transactional data everyone can trust.
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methodology, security model, technology
    
Workday
Published By: MuleSoft     Published Date: Nov 27, 2018
“Today’s shoppers expect more than a transactional relationship with retailers; they want a seamless and personalized journey that reflects the context of how they shop across devices and channels. The key to success lies in connecting in-store software with online systems so retailers can provide an uninterrupted experience wherever customers shop.” - Ross Mason, Founder of MuleSoft Driving digital transformation in retail requires connectivity across an ever-increasing number of applications, data and devices. Because of this, connectivity has emerged as a bottleneck that slows the development of new applications and the adoption of new technologies to meet customer demands. In response, leading retail and CPG companies have adopted API-led connectivity, which eliminates this connectivity bottleneck and enables a 2-5x faster IT project delivery across the value chain. Download this eBook to learn: How leading retailers like Buffalo Wild Wings, TAL Apparel and PetSmart are leverag
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MuleSoft
Published By: Datastax     Published Date: Aug 27, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Dell PC Lifecycle     Published Date: Aug 13, 2018
Your business may need to keep track of dozens of different initiatives—but that doesn’t mean you need dozens of separate storage solutions to get the job done. To reduce complexity, your business may consider storage solutions that can take care of multiple jobs at once without sacrificing performance. For example, if you operate a brick-and-mortar store and an online store, you should be able to retrieve customer data from both sources without compromising transactional database performance. The all-flash Dell EMC™ SC5020 storage array aims to be just such a solution.
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Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Aug 13, 2018
The all-flash Dell EMC SC5020 storage array handled transactional database workloads and data mart imports better than an HPE solution without sacrificing performance. With the all-flash Dell EMC™ SC5020 storage array, your company could attend to more customer orders each minute and save time while simultaneously importing data.
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Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Aug 13, 2018
Your business may need to keep track of dozens of different initiatives—but that doesn’t mean you need dozens of separate storage solutions to get the job done. To reduce complexity, your business may consider storage solutions that can take care of multiple jobs at once without sacrificing performance. For example, if you operate a brick-and-mortar store and an online store, you should be able to retrieve customer data from both sources without compromising transactional database performance. The all-flash Dell EMC™ SC5020 storage array aims to be just such a solution.
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Dell PC Lifecycle
Published By: Datastax     Published Date: Aug 03, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Oracle     Published Date: Aug 02, 2018
T raditional backup systems fail to meet the needs of modern organizations by focusing on backup, not recovery. They treat databases as generic files to be copied, rather than as transactional workloads with specific data integrity, consistency, performance, and availability requirements. Additionally, highly regulated industries, such as financial services, are subject to ever?increasing regulatory mandates that require stringent protection against data breaches, data loss, malware, ransomware, and other risks. These risks require fiduciary?class data recovery to eliminate data loss exposure and ensure data integrity and compliance. This book explains modern database protection and recovery challenges (Chapter 1), the important aspects of a database protection and recovery solution (Chapter 2), Oracle’s database protection and recovery solutions (Chapter 3), and key reasons to choose Oracle for your database protection and recovery needs (Chapter 4).
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Oracle
Published By: KPMG     Published Date: Jul 10, 2018
Working out what consumers want – and why – is getting harder. Transactional data and traditional market research and demographic profiles no longer do the job. Our ‘Five Mys’ report proposes a radical new framework for navigating complex consumer decision-making. Read the report to find out: • what the ‘Five Mys’ are and how they affect spending decisions • how to get better at predicting consumers’ changing needs • where different generations are directing their spending • how changing life patterns are creating new opportunities for businesses that can pick up on signals from consumers
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KPMG
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: Datastax     Published Date: May 14, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
In the end, the Dell EMC VMAX 250F with Intel® Xeon® Processor All Flash storage array lived up to its promises better than the HPE 3PAR 8450 Storage array did. We experience minimal impact to database performance when the VMAX 250F processed transactional and data mart loading at the same time. This is useful whether you're performing extensive backups or compiling large amounts of data from multiple sources. Intel Inside®. New Possibilities Outside.
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Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Prevent unexpected downtime with reliable failover protection. We interrupted access both local storage arrays - the Dell EMC database host seamlessly redirected all I/O to remote VMAX 250F with Intel® Xeon® Processor via SRDF/Metro with no interruption of service or downtime. The 3PAR solution crashed until the standby paths became active and we restarted the VM.
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Dell PC Lifecycle
Published By: MuleSoft     Published Date: Jan 16, 2018
“Today’s shoppers expect more than a transactional relationship with retailers; they want a seamless and personalized journey that reflects the context of how they shop across devices and channels. The key to success lies in connecting in-store software with online systems so retailers can provide an uninterrupted experience wherever customers shop.” - Ross Mason, Founder of MuleSoft Driving digital transformation in retail requires connectivity across an ever-increasing number of applications, data and devices. Because of this, connectivity has emerged as a bottleneck that slows the development of new applications and the adoption of new technologies to meet customer demands. In response, leading retail and CPG companies have adopted API-led connectivity, which eliminates this connectivity bottleneck and enables a 2-5x faster IT project delivery across the value chain. Download this eBook to learn: How leading retailers like Buffalo Wild Wings, TAL Apparel and PetSmart are leverag
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MuleSoft
Published By: Oracle ZDLRA     Published Date: Jan 10, 2018
Traditional backup systems fail to meet the database protection and recovery requirements of modern organizations. These systems require ever-growing backup windows, negatively impact performance in mission-critical production databases, and deliver recovery time objectives (RTO) and recovery point objectives (RPO) measured in hours or even days, failing to meet the requirements of high-volume, high transactional databases -- potentially costing millions in lost productivity and revenue, regulatory penalties, and reputation damage due to an outage or data loss.
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data protection, backup speed, recovery, overhead, assurance, storage, efficiency, oracle
    
Oracle ZDLRA
Published By: SAP     Published Date: Nov 16, 2017
The SAP HANA platform has successfully become a proven mainstay data management solution, supporting the full range of analytic and transactional software from SAP, both in the data center and in the cloud.
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SAP
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Traditional backup systems fail to meet the needs of modern organizations by focusing on backup, not recovery. They treat databases as generic files to be copied, rather than as transactional workloads with specific data integrity, consistency, performance, and availability requirements. Additionally, highly regulated industries, such as financial services, are subject to ever?increasing regulatory mandates that require stringent protection against data breaches, data loss, malware, ransomware, and other risks. These risks require fiduciary?class data recovery to eliminate data loss exposure and ensure data integrity and compliance
Tags : 
    
Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
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