transaction data

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By: IBM     Published Date: Apr 19, 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.
Tags : db2, data migration, ibm, oracle
     IBM
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.
Tags : strongmail, social media, email marketing, on-premise advantage, transactional email, insourcing, bounce management, spam trappers, emarketing, roi, networks, social networking
     StrongMail
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.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
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.
Tags : cost reduction, oracle database, it operation, online transaction, online analytics
     Hewlett Packard Enterprise
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
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
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
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
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     Oracle CX
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
By: IBM APAC     Published Date: Apr 27, 2018
While relying on x86 servers and Oracle databases to support their stock trading systems, processing rapidly increasing number of transactions fast became a huge challenge for Wanlian Securities. They shifted to IBM FlashSystem that helped them cut average response time for their Oracle Databases from 10 to less than 0.4 milliseconds and improved CPU usage by 15%. Download this case study now.
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     IBM APAC
By: Dome9     Published Date: Apr 25, 2018
As of May 2017, according to a report from The Depository Trust & Clearing Corporation (DTCC), which provides financial transaction and data processing services for the global financial industry, cloud computing has reached a tipping point1. Today, financial services companies can benefit from the capabilities and cost efficiencies of the cloud. In October of 2016, the Federal Deposit Insurance Corporation (FDIC), the Office of the Comptroller of Currency (OCC) and the Federal Reserve Board (FRB) jointly announced enhanced cyber risk management standards for financial institutions in an Advanced Notice of Proposed Rulemaking (ANPR)2. These proposed standards for enhanced cybersecurity are aimed at protecting the entire financial system, not just the institution. To meet these new standards, financial institutions will require the right cloud-based network security platform for comprehensive security management, verifiable compliance and governance and active protection of customer data
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     Dome9
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
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
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
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
By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Compression algorithms reduce the number of bits needed to represent a set of data—the higher the compression ratio, the more space this particular data reduction technique saves. During our OLTP test, the Unity array achieved a compression ratio of 3.2-to-1 on the database volumes, whereas the 3PAR array averaged a 1.3-to-1 ratio. In our data mart loading test, the 3PAR achieved a ratio of 1.4-to-1 on the database volumes, whereas the Unity array got 1.3 to 1.
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     Dell PC Lifecycle
By: Dell PC Lifecycle     Published Date: Mar 09, 2018
When your company’s work demands a new storage array, you have the opportunity to invest in a solution that can support demanding workloads simultaneously—such as online transaction processing (OLTP) and data mart loading. At Principled Technologies, we compared Dell EMC™ PowerEdge™ R930 servers1 with the Intel® Xeon® Processor Dell EMC Unity 400F All Flash storage array to HPE ProLiant DL580 Gen9 servers with the HPE 3PAR 8400 array in three hands-on tests to determine how well each solution could serve a company during these database-intensive tasks. Intel Inside®. New Possibilities Outside.
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     Dell PC Lifecycle
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
By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Pour conclure, la baie de stockage Dell EMC VMAX 250F All Flash a mieux tenu ses promesses que la baie de stockage HPE 3PAR 8450. Le système VMAX 250F a traité le chargement transactionnel et du DataMart simultanément avec un impact minimal sur les performances de la base de données. Ces performances sont utiles lors de l’exécution de sauvegardes complètes ou la compilation de grandes quantités de données provenant de plusieurs sources.
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     Dell PC Lifecycle
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.
Tags : digital experience, digital experience monitoring
     Dynatrace
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.
Tags : data protection, backup speed, recovery, overhead, assurance, storage, efficiency, oracle
     Oracle ZDLRA
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!
Tags : big data, operational decision making, transaction data, it management, data management, data center
     IBM
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!
Tags : data. queries, database operations, transactional databases, clustering, it management, storage
     IBM
By: Brother     Published Date: Mar 08, 2018
Documents are an integral component to the successful operation of an organization. Whether in hardcopy or digital form, they enable the communication, transaction, and recording of business-critical information. To ensure documents are used effectively, organizations are encouraged to continually evaluate and improve surrounding workflows. This may involve automating elements of document creation, securing the transfer and storage of information, and/or simplifying the retrieval of records and the data contained within. These types of enhancements can save time, money, and frustration. This white paper will discuss top trends and requirements in the optimization of document-related business processes as well as general technology infrastructures for document management. It will also address how some office technology vendors have reacted to these trends to guide their design and development of products, solutions, and services.
Tags : documents, workflows, business process, document management
     Brother
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