The new era of data analytics has opened up a new opportunity for storage professionals to become strategic partners and advisers to line of business stakeholders. The problem is that completing analytics queries is taking far too long – frequently…
Blog Archives
Top Four Data Analytics Challenges – Challenge 2: Technical Expertise
Tagged with: AI, Analytics, Artificial Intelligence, Buisiness Intelligence, Cloud, Data Lake, Data Privacy, Machine Learning, MeetTheCEO, Migration, ML, MLaaS, Promethium, TCO
Posted in Blog
Posted in Blog
Making HPC Available to the Masses – Dell Technologies HPC Briefing Note
With businesses beginning to rely on analytics, machine and deep learning (ML and DL), and artificial intelligence (AI) to run daily processes and generate competitive advantage, high-performance computing (HPC) is becoming more applicable outside of its traditional niche use cases,…
Top Four Data Analytics Challenges – Challenge 1: Business and IT Disconnect
Data analytics has become table stakes for competitive differentiation. As a result, businesses require their analytics-driven insights as quickly as possible. The reality is, however, that queries often take weeks or even months to complete. One of the key logjams…
Tagged with: AI, Analytics, Artificial Intelligence, Buisiness Intelligence, Cloud, Data Lake, Data Privacy, Machine Learning, MeetTheCEO, Migration, ML, MLaaS, Promethium, TCO
Posted in Blog
Posted in Blog
MeetTheCEO: Promethium’s Kaycee Lai
Kaycee Lai appeared on Storage Switzerland’s Meet The CEO series of webinars. Lai and Promethium have a unique vantage point into the key bottleneck that is greatly slowing down the time it takes to arrive at data-driven business intelligence: data…
Tagged with: AI, Analytics, Cloud, Data Lake, MeetTheCEO, ML, Promethium, SQL, TCO
Posted in Webinar
Posted in Webinar
Can Data Diversity Be Solved By a Single Storage System? – Quobyte Briefing Note
The modern data center has to deal with different use cases ranging from applications running inside of virtual machines or containers to massive amounts of unstructured data created by both users and devices. This data diversity almost always forces the…
Tagged with: Container, Data Lake, dr, Erasure code, IoT, Metadata, NFS, Quobyte, Replication, SMB, VM
Posted in Briefing Note
Posted in Briefing Note
Understanding The AWS Storage Portfolio – Amazon Briefing Note
Amazon Web Services (AWS) support a large number of use cases, ranging from high transactional applications to analytic processing applications, as well as backup and archiving solutions. As vendors and data centers decide on how they will use Amazon they…
Tagged with: Active Unstructured Data, Archive, AWS, Backup, Cloud, Container, Data Lake, Migration, NAS, Object Storage, SMB
Posted in Briefing Note
Posted in Briefing Note
The Role of Object Storage in HPC Environments?
For most High Performance Computing (HPC) environments, high performance storage is a critical component in the infrastructure. The storage systems need to feed the compute infrastructure as quickly as possible. With object storage improving its performance and adding flash to…
Tagged with: Caringo, Data Lake, Flash, HPC, IoT, NAS, NFS, Object Storage, performance
Posted in Blog
Posted in Blog
ChalkTalk Video: What is a Data Lake
George Crump of Storage Switzerland, and Fred Oh from Hitachi Data Systems explain the term “Data Lake”, and what it means for today’s analytics tools such as Pentaho, Hadoop, and Cassandra. The discussion includes real-world use cases, and also demonstrates…
Tagged with: Data Lake, HDS, Hitachi, Hyper-converged, Infrastructure, Virtualization
Posted in Video
Posted in Video
Hitachi’s HSP Hyper-Converged Appliance makes Big Data Analytics fit the Enterprise
Big Data Analytics uses distributed computing architectures, on platforms like Hadoop, to run large processing jobs on even larger datasets. Since data being processed in a Hadoop environment usually needs to be resident on the compute nodes themselves, this can…
Tagged with: Analytics, Big data, Data Lake, Hadoop, HDS, Hyper-convergence, Infrastructure, Scale-Out, Unstructured data, Virtual machine
Posted in Article
Posted in Article
ChalkTalk Video: Is it Time for Data Lake 2.0?
A Data Lake is a global repository. It collects data from a lot of sources, like sensors or the Internet of Things. A second generation Data Lake needs to evolve to get the data kept in the “lake” out to…
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