database applications

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Published By: Oracle     Published Date: Oct 20, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle
Published 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
Published By: Oracle     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
ESG Lab evaluated the Zero Data Loss Recovery Appliance from Oracle with a focus on its ability to deliver reliable data protection by recovering Oracle databases to any point in time with sub-second RPO in a highly scalable scale-out solution that is easy to use and manage. Year after year, ESG respondents consistently cite improving data backup and recovery among the top IT priorities in our annual spending intentions survey (including 2016’s iteration). Why? Because when unforeseen infrastructure failures or data corruptions occur, the ability to restore not only business-critical information but also application and end-user access to that information become paramount. Lost or prolonged inaccessibility to business-critical data and applications most often means lost revenue and productivity to the business, and possibly the inability to meet regulatory requirements.
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Oracle
Published By: IBM APAC     Published Date: Mar 19, 2018
MongoDB, one of the most popular NoSQL Open databases, helps you take advantage of exploding unstructured data with faster access to data and analytics while reducing your database cost. With the right infrastructure, you can benefit more. By running MongoDB on IBM Power systems, you can achieve: • ?Bring new apps to market faster and reduce the risk for mission-critical deployments • ?2.6x better performance for MongoDB at a much lesser cost than x86 Find out more about IBM Power Systems and MongoDB for today’s applications.
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IBM APAC
Published By: Oracle     Published Date: Apr 03, 2012
Although more than two-thirds of confidential information is regulated through database management systems, no computer security program offers adequate protection for the databases against the main threats affecting them today. Oracle, the leader in databases technologies, offers security solutions for the protection of all layers of the database.
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grid computing, oracle, database applications
    
Oracle
Published By: Oracle     Published Date: Apr 03, 2012
Learn how you can transform your business, budgets, and service levels with Oracle Database 11g Release 2
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grid computing, oracle, database applications
    
Oracle
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: Oracle Global Marketing     Published Date: Jul 13, 2012
As the amount and importance of corporate data grows, companies of all sizes are finding that they increasingly need to deploy high-availability database solutions to support their business-critical applications.
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data, database, oracle database appliance, choosing hardware. storage, internal networking, memory, cpu, verify patch compatibility
    
Oracle Global Marketing
Published By: AWS     Published Date: Jul 25, 2019
What you'll learn in this webinar: Simplify the move from legacy commercial databases or niche database solutions to Amazon Web Services (AWS) with help from experts in database migration and automation software solutions from mLogica. Watch our webinar to hear how you can transform your legacy environment to an AWS cloud-native infrastructure by migrating to Amazon Aurora. Using mLogica’s fully automated, self-learning mLogica Database Migration Studio, and consultancy service, you can modernize your databases and applications without disrupting your daily operations. Join our webinar to learn how: mLogica helped TicketSocket unify and simplify its data and gain efficiencies of cost and scale You can move enterprise, mission-critical complex databases to AWS You can break free of commercial licensing obligations
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AWS
Published By: AWS     Published Date: Jul 26, 2019
What you'll learn in this webinar: When you migrate your databases and applications from Oracle to Amazon Aurora, you can take advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS) to optimize your operations so you can focus on innovation. Clckwrk analyzes your existing database environment and creates a plan to embrace an elastic, scalable, cloud-native database solution that can grow with your business and help you eliminate the exorbitant costs of commercial database licenses. Watch this webinar to learn how: You can accelerate your migration off Oracle databases to Amazon Aurora with minimized disruption to your business You can leverage refactor code to work in your new database Clckwrk can help you establish a unique migration strategy for your needs, supported by a consultation practice that covers discovery to implementation
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AWS
Published By: AWS     Published Date: Jul 25, 2019
What you'll learn in this webinar: Modernize your databases and applications by migrating to Amazon Aurora. Take advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS) to optimize your operations. TekStream, an AWS Partner Network (APN) Advanced Consulting Partner, specializes in migrating legacy on-premises databases to AWS. Watch this webinar to learn how TekStream helps you break free from commercial database licenses, such as Microsoft and Oracle, and move your databases to the cloud in order to focus on your core business. Watch our webinar to learn how TekStream can help you: Understand your options when migrating your databases to Amazon Aurora Reduce the annual maintenance and support costs associated with commercial database licenses See how the combination of business consultation and technology implementation can markedly improve operations
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AWS
Published By: AWS     Published Date: Jul 29, 2019
What you'll learn in this webinar: Optimize your operations by taking advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS). Migrate your Oracle applications and databases to AWS and get all the benefits of the cloud. Migrating mission-critical Oracle databases and applications to the cloud is complex and you may feel locked into your platform. Amazon Aurora provides commercial-grade database performance and availability at a fraction of the cost. Apps Associates—an AWS Partner Network (APN) Partner and Oracle expert—can migrate enterprise workloads to the cloud, freeing customers to focus on higher-value initiatives. Watch this webinar to learn how to: Run your entire Oracle database and application environment on the cloud Take advantage of lower IT costs on the cloud and reduce your Total Cost of Ownership (TCO) Leverage Amazon Aurora to help satisfy your company’s cloud-first mandate, improve security, and reduce risk
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AWS
Published By: Datastax     Published Date: Apr 04, 2017
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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database, cloud, applications, endpoint, datastax
    
Datastax
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: Datastax     Published Date: Aug 03, 2018
Distributed cloud databases are transforming the way organizations do business. Read this new, informative guide to learn what distributed cloud databases are and why they’re what’s required to power Right-Now Economy applications. You'll also get straightforward yet detailed information on the database requirements for today’s applications, the limitations of relational databases, and the importance of data autonomy in database selection. With Designing a Distributed Cloud Database for Dummies, you'll learn how enterprises can meet and exceed customer expectations by way of modern applications and distributed cloud databases.
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Datastax
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"
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Datastax
Published By: MemSQL     Published Date: Nov 15, 2017
Pairing Apache Kafka with a Real-Time Database Learn how to: ? Scope data pipelines all the way from ingest to applications and analytics ? Build data pipelines using a new SQL command: CREATE PIPELINE ? Achieve exactly-once semantics with native pipelines ? Overcome top challenges of real-time data management
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digital transformation, applications, data, pipelines, management
    
MemSQL
Published By: Infosys     Published Date: Jun 14, 2019
The basic promise of blockchain is that it works as a global distributed ledger or database of things we value - everything from money, to creative work and votes - so these can then be managed and transacted in a trusted and secure manner. Yes, blockchain is a young technology, but well past its infancy. Today, the somewhat inflated expectations around the technology have been brought to a more realistic level and we are beginning to see practical applications across the enterprise. Although these are typically in the realm of reducing cost and/or time for transactions, improving product and system security, finding and preventing fraud and counterfeiting and increasing transparency, there are also instances of businesses relying on blockchain to create new revenue streams. Infosys recently commissioned an independent survey of senior executives worldwide. Download the report to read about their findings.
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Infosys
Published By: MuleSoft     Published Date: Jun 27, 2019
As the leading CRM system, Salesforce can accelerate and increase sales, enhance customer loyalty, and grow marketing capabilities. But how can businesses extend Salesforce to streamline business processes and maximize services and solutions? Effective and efficient integration of Salesforce with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications — is critical to enabling sales teams, increasing revenue, and better serving customers. Across the broad spectrum of Salesforce integration needs, patterns emerge for how to best address integration challenges. Integration patterns are the most logical sequence of steps to solving a specific type of integration problem. Learn how to synchronize CRM systems, migrate from legacy CRM systems, broadcast ERP data into your CRM system, and more. Download the whitepaper now.
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MuleSoft
Published By: Oracle Corp.     Published Date: Oct 15, 2012
This whitepaper illuminates how the Oracle Database Appliance, based on Intel® Xeon® processors, overcomes the obstacles companies face in deploying and managing database services that support their mission-critical applications.
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database appliance, database deployment, database administration
    
Oracle Corp.
Published By: Oracle     Published Date: May 11, 2012
This TDWI Checklist Report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs
    
Oracle
Published By: Vertica     Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc
    
Vertica
Published By: Vertica     Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
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vertica, analytical computing, adbms, mapreduce, application management, data management, data mining
    
Vertica
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