database systems

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Published By: Datastax     Published Date: Apr 08, 2019
For decades, organizations relied on traditional relational database management systems (RDBMS) to organize, store, and analyze their data. But then Facebook came along, and an RDBMS was suddenly not quite enough. The social giant needed a powerful database solution for its Inbox Search feature, and Apache Cassandraóa distributed NoSQL databaseówas born. Released as an open source project in July 2008, Cassandraónamed after the mythological prophet who famously put a curse on an oracleóbecame an Apache Incubator project in March 2009. It graduated to a top-level project in February 2010
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Datastax
Published By: MarkLogic     Published Date: Nov 07, 2017
NoSQL means a release from the constraints imposed on database management systems by the relational database model. This quick, concise eBook provides an overview of NoSQL technology, when you should consider using a NoSQL database over a relational one (and when to use both). In addition, this book introduces Enterprise NoSQL and shows how it differs from other NoSQL systems. Youíll also learn the NoSQL lingo, which customers are already using it and why, and tips to find the right NoSQL database for you.
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MarkLogic
Published By: NetApp     Published Date: Dec 15, 2014
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetAppís systems, software, and services offer a number of advantages as a foundation for better operational results.
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database, transaction processing, analytics, enterprise solution architects, storage capabilities
    
NetApp
Published By: Oracle     Published Date: Oct 20, 2017
Your enterprise runs its critical applications on Oracle Databases, and as an enterprise IT leader, maintaining the performance and availability of your databases is among your top priorities. Any degradation in performance or loss of data could result in serious business disruption and loss of revenue, so protecting this vital asset is a must. There are many causes of data lossó administration errors, system or media failures, cyberattacks, and moreóbut we often overlook design flaws in the very systems meant to protect data: general-purpose backup systems. Many existing data protection solutions fail to meet the demands of critical databases because they treat them as generic files to copy as opposed to specialized resources. Taking a generic approach to database backup and recovery not only exposes you to the risk of data loss, it also negatively impacts performance and makes it difficult to recover within acceptable timeframes.
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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: ē ?Bring new apps to market faster and reduce the risk for mission-critical deployments ē ?2.6x better performance for MongoDB at a much lesser cost than x86 Find out more about IBM Power Systems and MongoDB for todayís 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: Equinix     Published Date: Oct 20, 2015
Enterprises must prepare for the emerging digital user. Future interactions among people, whether enterprise employees, partners or customers, will be primarily digital and heavily influenced by mobile devices, social media, analytics and the cloud. User interactions with systems of record, such as databases and files, will largely give way to interactions with systems of engagement, such as social media.
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enterprise, digital user, user interaction, systems of engagement, analytics and the cloud, mobile devices, social media
    
Equinix
Published By: CA Technologies EMEA     Published Date: May 23, 2018
To move your business from its current state to the connected enterprise, you have to define a common API to your database and other systems, while providing the infrastructure to support the new model. The new systems must incorporate the security safeguards while ensuring the infrastructure can support the new growing, but variable, load. With the rapid adoption of mobile and web-based services across the industry, the REST architecture has emerged as the de facto standard for API integration across systems. This white paper addresses the concepts of REST, creating REST APIs for your databases and integrating with other systems: ē What is REST? ē Why use REST for database access? ē Building REST infrastructure for database access ē The REST enabled database ē Integrating REST with other services ē Criteria for selecting REST services platform
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CA Technologies EMEA
Published By: McAfee     Published Date: Mar 08, 2013
Databases store companiesí most valuable information assets, but in most cases theyíre poorly protected. Itís important to secure databases as well as or better than other systems in the enterprise. But itís not that simple.
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real-time database monitoring, database authentication, database access control, database activity monitoring, database intrusion prevention, authentication and access control, database security
    
McAfee
Published By: Datastax     Published Date: Apr 04, 2017
Graph databases are changing how we use data. But first, an example Ė you're (probably) a human working on a project and looking at graph databases as a potential solution. While we're a company that has a graph database that hopefully solves your problem. Now we could store that data in a boring relational database, but how do we do more than that? For instance, using that data, when combined with other data points, to find other people like you and recommend our solution to them? This is where a graph can come in handy. The friendly graph data model makes it easy to use patterns of relationships within large data sets. By leveraging those relationships we can analyze, or create better real-time experiences. Why Graph explores why this graph database 'thing' is really a thing, how they compare to other database systems, and the use cases they best support.
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graph, database, datastax
    
Datastax
Published By: MemSQL     Published Date: Nov 15, 2017
FREE O'REILLY EBOOK: BUILDING REAL-TIME DATA PIPELINES Unifying Applications and Analytics with In-Memory Architectures You'll Learn: - How to use Apache Kafka and Spark to build real-time data pipelines - How to use in-memory database management systems for real-time analytics - Top architectures for transitioning from data silos to real-time processing - Steps for getting to real-time operational systems - Considerations for choosing the best deployment option
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hardware trends, data pipelines, database management, architectures, technology
    
MemSQL
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 ó such as databases, ERP and CRM systems, and custom applications ó 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: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‚Äźmakers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‚Äźprocess changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized
    
SRC,LLC
Published By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
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src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract
    
SRC,LLC
Published By: Pure Storage     Published Date: Feb 25, 2014
This is a white paper that assumes familiarity with Oracle database administration as well as basic Linux system and storage administration tasks as required for a typical database installation, such as creating partitions and file systems. The Pure Storage Flash Array is ready to run your Oracle database with no changes to your existing configuration. You can realize significant improvements in performance and ease of manageability
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pure storage, oracle, database, flash for oracle, flash for database
    
Pure Storage
Published By: Vertica     Published Date: Aug 16, 2010
The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.
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vertica, ec2, elastic, cloud computing, workflow, benchmark, projections, 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
Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
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ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor
    
IBM
Published By: IBM     Published Date: Oct 01, 2012
Read this data sheet to learn more about configurations optimized for small businesses, application servers, and transactional and database systems.
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automated deployment, automated management, smbs, it solutions
    
IBM
Published By: IBM     Published Date: Jul 09, 2012
IBM PureFlex Systems combine advanced IBM hardware and software with "patterns of expertise" and integrate them into three optimized configurations that are simple to acquire and deploy. Read the data sheet to learn more about configurations optimized for small businesses, application servers, and transactional and database systems.
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ibm, technology, software, customer, smb group research, storage
    
IBM
Published By: SAP     Published Date: Jul 17, 2012
Relational database management systems (RDBMSs) are systems of software that manage databases as structured sets of tables containing rows and columns with references to one another through key values. They include the ability to optimize storage, process transactions, perform queries, and preserve the integrity of data structures. When used with applications, they provide the beating heart of the collection of business functions supported by those applications. They vary considerably in terms of the factors that impact the total cost of running a database application, yet users seldom perform a disciplined procedure to calculate such costs. Most users choose instead to remain with a single vendor's RDBMS and never visit the question of ongoing hardware, software, and staffing fees.
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sap, infrastructure, database, data management, white paper, management, storage, business functions
    
SAP
Published By: MarkLogic     Published Date: Nov 30, 2017
The OPDBMS market in 2017 brings cloud and fully managed options center stage for execution. Market-defining vision includes features for machine learning, serverless scenarios and streaming integration. Data and analytics leaders must balance current and future needs against this market landscape.
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MarkLogic
Published By: Sybase     Published Date: Oct 18, 2011
Download this document for an overview of some of these capabilities and the benefits customers can expect from moving to ASE 15.7.
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enterprise mobility, enterprise mobility software, enterprise mobility solutions, enterprise mobility systems, capital markets, capital markets solutions, capital markets analytics, business intelligence
    
Sybase
Published By: Sybase     Published Date: Oct 18, 2011
Watch this webinar for an overview of some of the benefits customers can expect from moving to ASE 15.7.
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enterprise mobility, enterprise mobility software, enterprise mobility solutions, enterprise mobility systems, capital markets, capital markets solutions, capital markets analytics, business intelligence
    
Sybase
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE ó thanks to a unique shared memory and vertical scale architecture ó make it suitable for workloads such as databases and systems of reco
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Group M_IBM Q418
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