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Items Tagged: unstructured+data

news

Talena storage software analyzes big data

Talena claims big data fuels demand for predictable storage workloads and application usage. The vendor's new ActiveRx uses predictive intelligence on data availability.

  • Premiered: 03/22/16
  • Author: Taneja Group
  • Published: TechTarget: Search Data Backup
Topic(s): TBA Talena TBA Big Data TBA Storage TBA predictive intelligence TBA data availability TBA predictive analytics TBA Big Data Availability TBA VM TBA Virtual Machine TBA Public Cloud TBA Cloud TBA secondary storage TBA Hadoop TBA NoSQL TBA data warehouse TBA Archiving TBA Backup TBA Disaster Recovery TBA DR TBA data analytics TBA big data analytics TBA ActiveRx TBA passive backup TBA RTO TBA Mike Matchett TBA structured data TBA semi-structured data TBA unstructured data TBA Snapshot TBA Snapshots
news

Conquer unstructured data: Scale-out NAS vs. object storage

Learn how scale-out NAS and object storage systems work, their pros and cons, manageability and how they integrate with your storage infrastructure.

  • Premiered: 08/04/16
  • Author: Jeff Kato
  • Published: TechTarget: Search Storage
Topic(s): TBA scale-out TBA scale-out NAS TBA Storage TBA object storage TBA storage infrastructure TBA NAS TBA cloud object storage TBA Cloud Storage TBA Cloud TBA Public Cloud TBA scalability TBA scalable TBA Metadata TBA Portable Operating System Interface TBA POSIX TBA fsync TBA real-time data TBA EMC TBA EMC Isilon TBA Isilon TBA IBM TBA IBM Spectrum TBA IBM Spectrum Scale TBA Qumulo TBA Scality TBA global scalability TBA Amazon TBA reliability TBA erasure coding TBA Dropbox
news

Minio object storage offers 'go big' container storage

Minio's object storage software is written in the robust Go programming language and supports Amazon S3 storage APIs for developers working in container environments.

  • Premiered: 02/02/17
  • Author: Taneja Group
  • Published: TechTarget: Search Cloud Storage
Topic(s): TBA Mike Matchett TBA Minio TBA object storage TBA Storage TBA Amazon TBA Amazon S3 TBA API TBA container TBA Open Source TBA DevOps TBA Private Cloud TBA Public Cloud TBA unstructured data TBA Amazon AWS TBA Backup TBA Data protection TBA erasure coding TBA file management TBA scalability TBA Red Hat TBA Gluster TBA Docker
news

Cohesity's converged data protection platform goes ROBO

Cohesity upgraded its product line with a virtual edition appliance for converged protection in remote offices and branch offices. It also added a new hardware appliance.

  • Premiered: 02/15/17
  • Author: Taneja Group
  • Published: TechTarget: Search Data Backup
Topic(s): TBA Cohesity TBA convergence TBA converged TBA Data protection TBA ROBO TBA Remote Office TBA Branch Office TBA Virtualization TBA Storage TBA Cohesity Data Platform TBA DataPlatform TBA hyperconverged TBA hyperconvergence TBA VMWare TBA VMware vSphere TBA vSphere TBA secondary storage TBA replication TBA Public Cloud TBA Cloud TBA unstructured data TBA Google Nearline TBA Google TBA Microsoft TBA Microsoft Azure TBA Amazon TBA Amazon S3 TBA Amazon Glacier TBA Backup TBA Archive
news

Primary Data DataSphere update improves scalability

Primary Data updates its DataSphere metadata engine to boost scalability and performance, support more hardware options, and connect to multiple Amazon S3-based cloud buckets.

  • Premiered: 03/09/17
  • Author: Taneja Group
  • Published: TechTarget: Search Storage
Topic(s): TBA primary data TBA data virtualization TBA Virtualization TBA Storage TBA scalability TBA Amazon S3 TBA S3 TBA Amazon TBA DataSphere TBA API TBA Cloud TBA Dell EMC TBA Isilon TBA NetApp TBA ONTAP TBA Linux TBA Data Migration TBA cloud bucket TBA clone TBA high availability TBA Automation TBA Metadata TBA NFS TBA SMB TBA VMWare TBA Virtual Machine TBA VM TBA Block Storage TBA object storage TBA NAS
Profiles/Reports

Is Object Storage Right For Your Organization?

Is object storage right for your organization? Many companies are asking this question as they seek out storage solutions that support vast unstructured data growth throughout their organizations. Object storage is ideal for large-scale unstructured data storage because it easily scales to several petabytes and beyond by simply adding storage nodes. Object storage also provides high fault tolerance, simplified storage management and hardware independence – core capabilities that are essential to cost-effectively manage large-scale storage environments. Add to this built-in support for geographically distributed environments and it’s easy to see why object storage solutions are the preferred storage approach for multiple use cases such as cloud-native applications, highly scalable file backup, secure enterprise collaboration, active archival, content repositories and increasingly cognitive computing workloads such as Big Data analytics.

To help you decide if object storage is right for your company and to help you understand how to apply various storage technologies, we have created a table below that positions object storage relative to block storage and file storage.

As the table shows, there are several factors that differentiate block, file and object storage. An easy way to think about the differences is the following; block storage is necessary for critical applications where storage performance is the key consideration, file storage is well-suited for highly scalable shared file systems and object storage is ideal when cloud-scale capacity and convenience as well as reliability and geographically distributed access are the major storage requirements. 

Publish date: 12/30/16
news / Blog

IBM Cloud Object Storage Provides a Strong Data Foundation for Modern Healthcare

The healthcare industry is facing tremendous data challenges as the medical community evolves to support rapid growth in digital medical imaging, new government regulations and improvements in patient care.

Profiles/Reports

IBM Cloud Object Storage Provides the Scale and Integration Needed for Modern Genomics Infra.

For hospitals and medical research institutes, the ability to interpret genomics data and identify relevant therapies is key to provide better patient care through personalized medicine. Many such organizations are racing forward, analyzing patients’ genomic profiles to match more clinically actionable treatments using artificial intelligence (AI).

These rapid advancements in genomic research and personalized medicine are very exciting, but they are creating enormous data challenges for healthcare and life sciences organizations. High-throughput DNA sequencing machines can now process a human genome in a matter of hours at a cost approaching one thousand dollars. This is a huge drop from a cost of ten million dollars ten years ago and means the decline in genome sequencing cost has outpaced Moore’s Law (see chart). The result is an explosion in genomic data – driving the need for solutions that can affordably and securely store, access, share, analyze and archive enormous amounts of data in a timely manner.

Challenges include moving large volumes of genomic data from cost-effective archival storage to low latency storage for analysis to reduce the time needed to analyze genetic data. Currently, it takes days to do a comprehensive DNA sequence analysis.

Sharing and interpreting vast amounts of unstructured data to find relationships between a patient’s genetic characteristics and potential therapies adds another layer of complexity. Determining connections requires evaluating data across numerous unstructured data sources, such as genomic sequencing data, medical articles, drug information and clinical trial data from multiple sources.

Unfortunately, the traditional file storage within most medical organizations doesn’t meet the needs of modern genomics. These systems can’t accommodate massive amounts of unstructured data and they don’t support both data archival and high-performance compute. They also don’t facilitate broad collaboration. Today, organizations require a new approach to genomics storage, one that enables:

  • Scalable and convenient cloud storage to accommodate rapid unstructured data growth
  • Seamless integration between affordable unstructured data storage, low latency storage, high performance compute, big data analytics and a cognitive healthcare platform to quickly analyze and find relationships among complex life science data types
  • A multi-tenant hybrid cloud to share and collaborate on sensitive patient data and findings
  • Privacy and protection to support regulatory compliance

Publish date: 03/22/17
Profiles/Reports

Cloud Object Storage for the Healthcare Data Blues

The healthcare industry continues to face tremendous cost challenges. The U.S. government estimates national health expenditures in the United States accounted for $3.2 trillion last year – nearly 18% of the country’s total GDP. There are many factors that drive up the cost of healthcare, such as the cost of new drug development and hospital readmissions. In addition, there’s compelling studies that show medical organizations will need to evolve their IT environment to curb healthcare costs and improve patient care in new ways, such as cloud-based healthcare models aimed at research community collaboration, coordinated care and remote healthcare delivery.

For example, Goldman Sachs recently predicted that the digital revolution can save $300 billion in spending in the healthcare sector by powering new patient options, such as home-based patient monitoring and patient self-management. Moreover, the most significant progress may come from a medical organization transforming their healthcare data infrastructure. Here’s why:

  • Advancements in digital medical imaging has resulted in an explosion of data that sits in  picture archiving and communications systems (PACS) and vendor neutral archives (VNAs).
  • Patient care initiatives such as personalized medicine and genomics require storing, sharing and analyzing massive amounts of unstructured data.
  • Regulations such as the Health Insur­ance Portability and Accountability Act (HIPAA) require organizations to have policies for long term image retention and business continuity.

Unfortunately, traditional file storage approaches aren’t well-suited to manage vast amounts of unstructured data and present several barriers to modernizing healthcare infrastructure. A recent Taneja Group survey found the top three challenges to be:

  • Lack of flexibility: Traditional file storage appliances require dedicated hardware and don’t offer tight integration with collaborative cloud storage environments.
  • Poor utilization: Traditional file storage requires too much storage capacity for system fault tolerance, which reduces usable storage.
  • Inability to scale: Traditional storage solutions such as RAID-based arrays are gated by controllers and simply aren’t designed to easily expand to petabyte storage levels.

As a result, healthcare organizations are moving to object storage solutions that offer an architecture inherently designed for web scale storage environments. Specifically, object storage offers healthcare organizations the following advantages:

  • Simplified management, hardware independence and a choice of deployment options – private, public or hybrid cloud – lowers operational and hardware storage costs
  • Web-scale storage platform provides scale as needed and enables a pay as you go model
  • Efficient fault tolerance protects against site failures, node failures and multiple disk failures
  • Built in security protects against digital and physical breeches

Publish date: 03/22/17
news

Data center storage architecture gets smarter with AI

Trends, such as event-triggered computing, as exemplified by Lambda Architectures, converge on data center storage to hasten data center intelligence evolution.

  • Premiered: 05/04/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Mike Matchett TBA Data Center TBA Storage TBA Artificial Intelligence TBA AI TBA Optimization TBA Automation TBA Big Data TBA Internet of Things TBA IoT TBA real-time data TBA big data analytics TBA analytics TBA AWS TBA Amazon TBA HDFS TBA Hadoop TBA Hadoop Distributed File System TBA cluster TBA structured data TBA unstructured data TBA converged TBA convergence TBA container TBA containerization TBA software-defined TBA Cloud TBA Hybrid Cloud TBA Machine Learning TBA CPU
news

Object storage use cases coming to a data service near you

Object storage, unlike traditional file and block storage, is well-suited to manage vast amounts of unstructured data.

  • Premiered: 07/06/17
  • Author: Steve Ricketts
  • Published: TechTarget: Search Storage
Topic(s): TBA Steve Ricketts TBA object storage TBA Storage TBA Cloud TBA Block Storage TBA unstructured data TBA REST TBA Data Storage TBA web 2.0 TBA data analytics TBA Amazon TBA Amazon S3 TBA Cleversafe TBA IBM Cloud TBA IBM Cloud Object Storage TBA IBM TBA Scality TBA Western Digital TBA Private Cloud TBA Public Cloud TBA Hybrid Cloud TBA Backup TBA Archive TBA scalability TBA scalable TBA data retention TBA compliance TBA File Storage TBA Capacity TBA storage-as-a-service
news

Cohesity Adds Archiving to Updated Hyperconverged Storage

To say that startup Cohesity is attempting to be all things storage to all users is close to the truth.

  • Premiered: 08/01/17
  • Author: Taneja Group
  • Published: eWeek
Topic(s): TBA Cohesity TBA hyperconverged TBA hyperconvergence TBA hyperconverged storage TBA Storage TBA HyperConverged Secondary Storage TBA Private Cloud TBA Public Cloud TBA Cloud TBA Cloud Storage TBA Data protection TBA Big Data TBA big data storage TBA scalable TBA Backup TBA structured data TBA unstructured data TBA HCS TBA Deduplication TBA Compression TBA Amazon S3 TBA S3 TBA Amazon