Tag: IT cloud computing

With the availability of metrics related to dashboard views, visual load times, and data ingestion details into SPICE (the QuickSight in-memory data store), developers and administrators can ensure that end-users of

Name entity extraction (NER) : In Spark NLP, with a few lines of code, you can train a NER model that uses BERT, and you can achieve state-of-the-art accuracy. In the silver layer, advanced Spark NLP features

Instead, businesses can use DaaS to access virtual desktops over the internet from a cloud provider. DaaS solutions save businesses money by shifting IT costs from traditional on-premises hardware and software

This post provides architectural guidance to consolidate multiple DWBI technologies to AWS Managed Services to help reduce the administrative overhead, bring operational ease, and business efficiency. For example,

In situations where RMAN backup is used as a DR solution, using AWS Backup to backup the file system and using RMAN to backup the archive logs are an efficient method to perform Oracle database point-in-time

This reference architecture shows a microservices application deployed to Azure Kubernetes Service (AKS). For more information, see Create an HTTPS ingress controller and use your own TLS certificates on Azure

Real time processing deals with streams of data that are captured in real-time and processed with minimal latency to generate real-time (or near-real-time) reports or automated responses. For example, a real-time

A common big data scenario is batch processing of data at rest. In this scenario, the source data is loaded into data storage, either by the source application itself or by an orchestration workflow. The data is then

An architecture style is a family of architectures that share certain characteristics. For example, N-tier is a common architecture style. More recently, microservice architectures have started to gain favor. Architecture styles don’t require the use of

It provides Bare Metal services for completely specialized workloads, and Cloud Run for fully managed environments, App Engine for server-less application platforms, and virtual machines running on Google’s data

The following solution brief discusses a GCVE + Traffic Director implementation aimed at providing customers an easy way to scale out web services, while enabling application migrations to Google Cloud . In

AWS CodePipeline, AWS Step Functions, and AWS Resilience Hub are defined in your deployment account while the application AWS CloudFormation stacks are imported from your workload account.

When an agent completes a customer call, Amazon Connect sends the call recording to an Amazon Simple Storage Solution (Amazon S3) bucket with: a date and contact ID prefix, the file stored in the .WAV