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database

Results 276 - 300 of 1117Sort Results By: Published Date | Title | Company Name
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
Tenuto conto del fatto che la GDPR è stato annunciato formalmente solo di recente, si evidenzia un buon livello di consapevolezza tra i partecipanti. Una volta informati sul regolamento, l'88% degli intervistati ha dichiarato che la propria azienda deve affrontare difficoltà tecnologiche per la compliance alla GDPR. Il percorso verso la compliance è percepito come molto laborioso.
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generazione di dati sintetici, virtualizzazione di servizi, controllo e protezione dei database, masking dei dati, warehouse dei dati, ca technologies, gdpr
    
CA Technologies EMEA
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to analyzing and mitigating the risks of migrating to PostgreSQL. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. A key decision criteria for adopting any technology is whether it can support requirements for existing applications while also fitting into longer term strategies and needs. The first section of this eBook provides a detailed analysis of all aspects of migrating from legacy and commercial solutions to PostgreSQL: ? Schema and code migration ? Data migration ? Application code migration ? Testing and evaluation
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Stratoscale
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to “Day One” challenges of deploying, managing and monitoring PostgreSQL. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. An effective monitoring and logging strategy is critical for maintaining the reliability, availability, and performance of database environments. The second section of this eBook provides a detailed analysis of all aspects of monitoring and logging PostgreSQL: ? Monitoring KPIs ? Metrics and stats ? Monitoring tools ? Passive monitoring versus active notifications
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Stratoscale
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to “Day Two” challenges of accelerating large-scale PostgreSQL deployments. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. After a PostgreSQL deployment is live, there are a variety of day-two scenarios that require planning and strategizing. The third section of this eBook provides a detailed analysis of all aspects accelerating large-scale PostgreSQL deployments: ? Backups and Availability: strategies, point-in-time recovery, availability and scalability ? Upgrades and DevOps: PostgreSQL upgrade process, application upgrades and CI/CD
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Stratoscale
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to deploying, managing and scaling PostgreSQL in various environments, in the public cloud and on-premises. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. The eBook provides a detailed analysis of planning, day-one, and day-two challenges of PostgreSQL deployments, in the context of potential operating environments: ? Public cloud ? Private cloud ? Private DC (bare metal / VM)
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Stratoscale
Published By: NAVEX Global     Published Date: Apr 06, 2016
This annual report is an excellent starting point for organisations committed to benchmarking and improving programme effectiveness.
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ethics, ethics and compliance, human resources, database, hotline reporting, navex, large database, benchmark database
    
NAVEX Global
Published By: F5 Networks Inc     Published Date: Sep 14, 2018
When most people think of denial of service (DoS) attacks, they think of the large pipe-saturating distributed denial of service (DDoS) attacks aimed at the network layer. However, attacks on website or application availability are not just volumetric in nature. Many attacks are designed to cause resource exhaustion somewhere in the application stack, the application servers, middleware, or back-end database.
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F5 Networks Inc
Published By: Teradata     Published Date: May 02, 2017
even West Media (SWM) is Australia’s leading multiple platform media company with a market-leading presence in broadcast television, magazine and newspaper publishing, and online. To support its unprecedented broadcast of the Rio de Janeiro 2016 Olympic Games, SWM integrated the world’s first production implementation of the Teradata Database running on Amazon Web Services (AWS) into its existing data ecosystem. This enabled the delivery of critical insights during the event and helped directly drive audience engagement with SWM’s digital products, resulting in the creation of a powerful audience asset that that now informs their broadcasting, marketing, and advertising plans. Find out how with in this case study.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Teradata
Published By: NAVEX Global     Published Date: Mar 11, 2014
This report reviews all-industry benchmarks created using data from all participating companies 4,600, in the NAVEX Global database and should serve as an excellent starting point for companies wishing to assess their organization’s reporting data—and help equip them to make informed decisions about programme effectiveness, potential problem areas and necessary resource allocations.
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ethics, compliance, benchmarks, navex
    
NAVEX Global
Published By: NetApp     Published Date: Feb 19, 2015
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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NetApp
Published By: Vormetric, Inc.     Published Date: Jan 11, 2016
SAP has reviewed and qualified Vormetric’s Transparent Encryption as suitable for use in SAP HANA solution environments. Vormetric provides a proven approach to securing SAP data that meets rigorous security, data governance and compliance requirements. Vormetric Data Security can be quickly deployed to secure data while requiring no change to SAP, the underlying database or hardware infrastructure. This approach enables enterprises to meet data governance requirements with a rigorous separation of duties. Whether you are securing an existing SAP deployment or upgrading, to a new version, Vormetric delivers a proven approach to quickly secure SAP data while ensuring SAP continues to operate at optimal performance.
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sap hana, data security, encryption, virtustream, cloud security, encryption keys, big data, compliance, advanced persistent threats, apt, insider threat, security, cloud computing, data center
    
Vormetric, Inc.
Published By: IBM     Published Date: Mar 29, 2017
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
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cloud, analytics, data, organization, ibm
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: IBM     Published Date: Oct 01, 2016
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: May 09, 2017
How companies are managing growth, gaining insights and cutting costs in the era of big data
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Jun 20, 2017
Watch this on-demand webinar for a look at in-memory databases and better understand the advantages of in-memory vs. disk-based technology.
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data integration, data security, data optimization, data virtualization, in-memory, disk-based, technology
    
IBM
Published By: IBM     Published Date: Jul 21, 2016
IBM's recently released DB2 version 11.1 for Linux, Unix and Windows (LUW) is a hybrid database that IBM says can handle transactional and analytic workloads thanks to its BLU Acceleration technology, which features an in-memory column store for analytical workloads that can scale across a massively parallel cluster.
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ibm, db2. analytics, mpp, data wharehousing
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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reliability, security, consistency, database, platform, access
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
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memory analytics, database, efficiency, acceleration technology, aggregate data
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
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database, growth, big data, it infrastructure, information management
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
Here are the 6 reasons to change your database: Lower total cost of ownership Increased scalability and availability Flexibility for hybrid environments A platform for rapid reporting and analytics Support for new and emerging applications Greater simplicity Download now to learn more!
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scalability, hybrid environment, emerging applications, rapid reporting
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. This paper outlines what readers should consider when making a strategic commitment to a database platform that will act as a bridge from legacy environments to the cloud.
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bridging the cloud, database, hybrid cloud, cloud organization, strategic commitment
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
Welcome to the era of the digital enterprise, where digital is your journey and cognitive is your destination. As business leaders, you are under growing pressure to use information to its fullest potential, delivering new customer experiences as fuel for business growth. The digital economy is changing the way we gather information, gain insights, reinvent our businesses and innovate both quickly and iteratively A hybrid cloud environment, combining traditional IT systems and public cloud, enables you to extend business processes beyond the walls of your organization. For example, many organizations use public cloud as a collaborative development environment to create innovative applications that can then be ported to an on-premises or hybrid production environment.
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cognitive era, digital, database, hybrid cloud environment, public cloud
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
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