transaction data

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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: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: Sage BMS Enterprise     Published Date: Jan 26, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
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Sage BMS Enterprise
Published By: IBM     Published Date: Nov 08, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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ibm, cloud, cloud computing, database, ibm db2
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Jan 23, 2018
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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db2. blu accelaration, big data, data analytics, disaster recovery
    
Group M_IBM Q1'18
Published By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle
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
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Oracle
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: StrongMail     Published Date: Jun 08, 2008
The growing trend towards insourcing marketing and transactional email is being driven by businesses that are looking for ways to improve their email programs, increase data security and lower costs. When evaluating whether it makes more sense to leverage an on-premise or outsourced solution, it's important to understand how the traditional arguments have changed.
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strongmail, social media, email marketing, on-premise advantage, transactional email, insourcing, bounce management, spam trappers
    
StrongMail
Published By: SAP     Published Date: May 18, 2014
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations? Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
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cost reduction, oracle database, it operation, online transaction, online analytics
    
Hewlett Packard Enterprise
Published By: SAS     Published Date: Jan 17, 2018
The Connected Customer is an individual who is intimately connected to the data, outcomes, decisions, and staff associated with any relationship to an organization. This intensely personal connection is not just a matter of the most recent transaction, but represents a combination of connected data, connected analytics, and collaborative decisions associated with improving the customer’s relationship with the organization over time. In this report, Blue Hill explores the key traits associated with supporting the Connected Customer through the Internet of Things, and provides guidance on why the Internet of Things will be essential across the general business landscape.
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SAS
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 CX     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
Tags : 
    
Oracle CX
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
Published By: Dell EMC     Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
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Dell EMC
Published By: ExtraHop     Published Date: Apr 03, 2013
The ExtraHop Discovery Edition is a free virtual appliance will help you to discover the performance of your applications across the network, web, VDI, database, and storage tiers. Get yours today!
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it operational intelligence, application performance management, application performance monitoring, application monitoring, network performance management, network performance monitoring, network monitoring, infrastructure performance monitoring
    
ExtraHop
Published By: Entrust Datacard     Published Date: Apr 26, 2017
Research in the SSL/TLS security market points to a growing need for securing web applications with high assurance certificates issued by a reputable Certification Authority (CA). The integrity of the CA and the extended services offered through a certificate management platform (CtaaS) can produce a truly secure IT environment for website transactions according to industry analysts, Frost & Sullivan, in their in-depth analysis, SSL/TLS Certificates Market, Finding the Business Model in an All Encrypt World. Organizations want to avoid the negative publicity associated with security breaches and customers want to be assured of data protection when making online transactions. In this condensed report, catch the highlights of current industry trends and the ever important need to secure your server with a reputable CA.
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Entrust Datacard
Published By: CA Technologies     Published Date: Aug 26, 2016
Organizations handling transactions involving credit or debit cards are facing increasing pressure to meet regulatory compliance mandates. In particular, they must comply with the Payment Card Industry Data Security Standard (PCI DSS) version 3, which went into effect in January of 2015.
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CA Technologies
Published By: Dynatrace     Published Date: Apr 26, 2017
It's impossible to optimize every page and action of every transaction for every device and user location...you need to identify the pages and actions that matter most and build an optimization plan. This report details how T-Mobile did exactly that, and how you can do the same: Base your plan on your own business and visitor data Correlate performance to transaction completion rate Determine where you'll see the most return for your technology and time investment Download the report to read more.
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digital experience, digital experience monitoring
    
Dynatrace
Published By: IBM     Published Date: Oct 13, 2016
Smart on-line transaction processing systems will be able to leverage transactions and big data analytics on-demand, on an event-driven basis and in real-time for competitive advantage. Download to learn how!
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big data, operational decision making, transaction data, it management, data management, data center, analytics, data science
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Compare IBM DB2 pureScale with any other offering being considered for implementing a clustered, scalable database configuration see how they deliver continuous availability and why they are important. Download now!
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data. queries, database operations, transactional databases, clustering, it management, storage, business technology, data storage
    
IBM
Published By: Dynatrace     Published Date: Jul 29, 2016
Gap free data helps you create and manage high-performing applications that deliver flawless end-user experience and customer loyalty. To be gap free, you must capture data from every single method in your application infrastructure, end-to-end, including timing and code-level context for all transactions, services and tiers, and make the data available for analysis. This eBook gives you technical and business case details that will show you why gap free data is a critical part of your application management strategy.
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dynatrace, gap free data, applications, application performance, development, devops, application infrastructure, application performance management
    
Dynatrace
Published By: CA Technologies     Published Date: Aug 22, 2017
Effectively supporting these new business demands has become more complex and challenging. The increased use of mobile devices alone is driving exponential growth in transaction volumes. A customer pushes a button on his or her cell phone, for example, to check a bank balance. That single transaction triggers a cascade of transactions as the request is validated and data is accessed, retrieved and then sent back to the customer.
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storage, systems, network, applications, data, automation, ca technologies
    
CA Technologies
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