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4 Tips for Processing Real-Time Data

CIO Business Intelligence

It is also the foundation of predictive analysis, artificial intelligence (AI), and machine learning (ML). Technology such as load-balancing ensures that all resources in a cluster are doing approximately the same amount of work. Spreading the load in this manner reduces latency and eliminates bottlenecks.

Data 113
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Fountainhead: HPQ & CSCO: Analysis of New Blade Environments

Fountainhead

HPQ & CSCO: Analysis of New Blade Environments. HPs BladeSystem Matrix architecture is based on VirtualConnect infrastructure, and bundled with a suite of mostly existing HP software (Insight Dynamics - VSE, Orchestration, Recovery, Virtual Connect Enterprise Manager) which itself consists of about 21 individual products. Fountainhead.

Analysis 147
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Liveblog: Introduction to Managed Database Services on AWS

Scott Lowe

This includes MapReduce, Spark, and Presto, and is a managed service that allows customers to pull data from S3, HDFS, or MapR to do analysis without having to worry about the details of managing and optimizing a cluster. Challenges faced here led FanDuel to re-architect to the next-generation architecture. Finally, there’s Amazon EMR.

SOA 60
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Fountainhead: CA's Acquisition of Cassatt - Hindsight & Foresight

Fountainhead

Today I read the press release and Gordon Haffs analysis that Computer Associates has acquired Cassatt -- a former employer of mine. The instantiation of these observations was a product that put almost all of the datacenter on "autopilot" -- Servers, VMs, switches, load-balancers, even server power controllers and power strips.

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What’s Free at Linux Academy — March 2019

Linux Academy

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. We discuss architectural requirements and principles of big data infrastructures and the intersection of cloud computing with big data.

Linux 80
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Mastering machine learning deployment: 9 tools you need to know

Dataconomy

Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model. Dedicated Model API architecture, where a separate API is created specifically for the model and serves as an interface for model interaction.

Tools 77
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Lift-and-shift: Why does it undermine BSS-on-cloud transformation?

TM Forum

Not all applications may be suited for the cloud and its multi-tenant architecture. Once an application has been tested for technical suitability, it is essential to do a business and operational evaluation by conducting a thorough multi-tenant vs multi-stack analysis. Technical Evaluation - Application Maturity.

Cloud 130