data cluster

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Published By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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AWS
Published By: Dell     Published Date: Feb 04, 2015
More than 23 million servers in the world are still running on the Microsoft Windows Server 2003 operating system, making it the most popular engine for serving information and applications globally for over a decade. But, starting in July 2015, Microsoft will no longer provide basic support for it.
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dell, windows, microsoft, modernization, management, modernization, server, 2003, 2012, support, services, efficiency, cost, platforms, future, mobility, standardization, transformation, challenges, applications
    
Dell
Published By: Dell EMC     Published Date: Aug 17, 2017
For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their only option, since many don’t have the capital or expertise to build and operate the IT systems their businesses need. Existing companies with established data centers are also looking at public clouds, to increase IT agility while limiting risk. The idea of building-out their production capacity while possibly reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And like most infrastructure decisions the question of cost is certainly a consideration. In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).
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public cloud, it systems, data center, it agility, hyperconverged solution, hyperconverged appliance
    
Dell EMC
Published By: Vision Solutions     Published Date: Aug 26, 2014
This paper explores the market leading solutions available for data protection and recoverability.
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data protection, data recovery, geocluster, data cluster. failover clustering, storage
    
Vision Solutions
Published By: Pepperdata     Published Date: Jun 25, 2015
Download the white paper, A Highly-Tuned Hadoop Cluster, to learn how to add real-time optimization technology to performance tuning strategy to: • Monitor and control the actual use of (and demand for) each kind of hardware resource by task • Identify ‘holes’ in the cluster where a node could temporarily do more work • Eliminate the need to physically separate workloads to ensure performance
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Pepperdata
Published By: Juniper Networks     Published Date: Oct 25, 2017
Hey all, this is David Press and Doug Lardo, two engineers working on improving the data center networking that enables online services at Riot. This article is the third part in a series on exactly that topic, which begins with an overview from Jonathan of a platform we called rCluster. This time we’ll be discussing our approach to Software Defined Networking (SDN), how we integrate SDN with Docker, and the new infrastructure paradigms that this combination has unlocked for us. If you’re curious about how SDN can transform infrastructure, how to empower developers to obtain and secure networking resources via an API, or how to get out of purchasing larger and larger specialized networking appliances, this article is for you.
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technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
    
Juniper Networks
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: Dell EMC     Published Date: Aug 22, 2017
Identifying the benefits, costs, and risks associated with an Isilon implementation, Forrester interviewed several customers with experience using Isilon. Dell EMC Isilon is a scale-out NAS platform that enables organizations to store, manage, and analyze unstructured data. Isilon clusters are composed of different node types that can scale up to 68 petabytes (PB) in a single cluster while maintaining management simplicity. Isilon clusters can also scale to edge locations and the cloud
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Dell EMC
Published By: Pure Storage     Published Date: Nov 02, 2017
The evolution of genomics in recent decades has seen the volume of sequencing rise dramatically as a result of lower costs. Massive growth in the quantities of data created by sequencing has greatly increased analytical challenges, and placed ever-increasing demands on compute and storage infrastructure. Researchers have leveraged high-performance computing environments and cluster computing to meet demands, but today even the fastest compute environments are constrained by the lagging performance of underlying storage.
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big data, simple, fast, multi dimensional performance, eliminate complexity, lower tco, innovation
    
Pure Storage
Published By: Datastax     Published Date: Dec 27, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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Datastax
Published By: IBM     Published Date: Jul 05, 2016
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support.
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ibm, always on business, cloud, big data, oltp, ibm db2 purescale, networking, knowledge management, enterprise applications, data management, business technology, data center, data science, data storage, data security
    
IBM
Published By: NetApp     Published Date: Sep 24, 2013
"Storage system architectures are moving away from monolithic scale-up approaches and adopting scale-out storage – providing a powerful and flexible way to respond to the inevitable data growth and data management challenges in today’s environments. With extensive data growth demands, there needs to be an increase in the levels of storage and application availability, performance, and scalability. Access this technical report that provides an overview of NetApp clustered Data ONTAP 8.2 and shows how it incorporates industry-leading unified architecture, non-disruptive operations, proven storage efficiency, and seamless scalability."
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storage infrastructure, clustered storage, technology, scalability, application, storage solution, non-disruptive operations, storage, business technology, data center
    
NetApp
Published By: NetApp     Published Date: Sep 24, 2013
"Today, IT’s customers are more mobile and global than ever before and as such expect their applications and data to be available 24x7. Interruptions, whether planned or unplanned, can have a major impact to the bottom line of the business. ESG Lab tested the ability of clustered Data ONTAP to provide continuous application availability and evaluated performance for both SAN and NAS configurations while running an Oracle OLTP workload. Check out this report to see the results."
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mobile, global, applications, cloud, configuration, technology, knowledge management, storage, data center
    
NetApp
Published By: NetApp     Published Date: Feb 19, 2015
As business requirements drive the need for a hybrid cloud strategy, companies must determine how best to run their applications and manage their data—whether in their private data center, near the cloud, or in the cloud. Hyperscale cloud providers offer excellent flexibility by allowing customers to buy raw resources in a consumption model by the hour. NetApp® has released a new way of deploying the cluster Data ONTAP® operating system that runs on hyperscale resources, that when combined with NetApp Private Storage for Cloud, offers customers superior choice in how they manage their cloud storage.
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NetApp
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: 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
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: Scalebase     Published Date: Mar 08, 2013
Learn how to scale MySQL databases with ScaleBase. Cost-effectively scale to an infinite number of users, with NO disruption to your existing infrastructure.
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mysql, databases with scalebase, no existing infrastructure issues, use mysql with scalebase, cost effectively scale, shard, cluster, high availability, failover, mariadb, read/write, scalability, capacity planning, it management, data management, business technology, data center
    
Scalebase
Published By: NetApp     Published Date: Sep 22, 2014
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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flash pool, fas storage systems, ssd, online transaction processing, cluster storage
    
NetApp
Published By: Equinix     Published Date: Oct 27, 2014
Connections are great. Having a network to connect to is even better. Humans have been connecting, in one form or another, throughout history. Our cities were born from the drive to move closer to each other so that we might connect. And while the need to connect hasn’t changed, the way we do it definitely has. Nowhere is this evolution more apparent than in business. In today’s landscape, business is more virtual, geographically dispersed and mobile than ever, with companies building new data centers and clustering servers in separate locations.
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data center, enterprise, cloud, experience, hybrid, performance, strategy, interconnectivity, network, drive, evolution, landscape, server, mobile, technology, globalization, stem, hyperdigitization, consumer, networking
    
Equinix
Published By: IBM     Published Date: Jan 18, 2017
IBM Compose Enterprise delivers a fully managed cloud data platform on the public cloud of your choice - including IBM SoftLayer or Amazon Web Services (AWS) - so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
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ibm, analytics, aps data, database, cloud db toolkit, enterprise applications, data science, data storage
    
IBM
Published By: DataStax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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DataStax
Published By: Datastax     Published Date: Aug 03, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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Datastax
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