The device edge and telco network compute edge are both considered edge computing but warrant two entirely different conversations around use cases, applications and workloads.
Category: Information technology
The Alternative Cloud Isn’t So Alternative Anymore
“[The big three] control cloud market share and cloud discourse to the extent that the decisions made by these [providers] broadly define what users expect in terms of pricing, features, and vendor relationship,” analyst Liam Eagle writes.
Use Innovation To Reshape The B2B Payment Experience In APAC
B2B payments are complex, involving multiple systems such as ERP solutions, accounting platforms, and electronic banking suites. They also leverage a mixture of near-real-time and batch data processes spread across multiple silos, making it difficult for that data to be automatically reconciled.
How the Railroad Industry is Leveraging IoT Edge Computing
If we analyze the strengths of Industrial IoT (IIoT) and edge computing as digitization technologies, we realize that it is precisely the answer to most of the challenges aforementioned.
IIoT allows data to be captured from a number of sources, and edge computing enables the analysis of large volumes of distributed data in real-time, and in a cyber-secure and scalable way, allowing the integration of field equipment from a multitude of suppliers, technologies, and protocols.
Build a chatbot for hotel booking
This example scenario applies generally to businesses that want to integrate a conversational chatbot into applications. Specifically, this scenario shows a C# chatbot for a
A Beginner’s Guide to API Governance
Even within organizations, APIs are valuable components in business operations and they require their own governance, API governance. They make it easier for developers to use technologies, applications, or back-end systems when building the business.
It’s crucial because different applications, organizations, and developers will use the API.
Intelligent e-commerce product search engine
By using Azure Cognitive Search instead, you free up your operational database from the query processing and you can easily start taking advantage of those hard-to-implement features that provide your customers with the best possible search experience.
Common Software and Application Security Terms Explained
Static (source code) analysis tools are designed to look for bugs, poor coding practices, potential security vulnerabilities and coding standard compliance.
The use of tools and techniques like source code analysis (or SAST) during coding is also considered a form of software security testing.
SWIFT Alliance Cloud in Azure
This article provides an overview with reference architecture for deploying SWIFT’s Alliance Connect Virtual solution on Azure.
SWIFT provides the virtual firewall, Juniper vSRX, as part of the solution for managed connectivity of Alliance Connect Virtual in another Azure subscription.
Top 5 Best ALM Suites in 2022 To Create Optimal Software Application by Your Teams
Application Lifecycle Management, otherwise known as ALM suites, is a system where project members, tools, and processes consolidate in one solution that caters to the planning, implementation, and maintenance of a software application.
Enabling Hadoop Migration to Azure
There are many reasons why customers consider migrating their existing on-premises big data workloads to Azure.
The L’Oréal Beauty Tech Data Platform – A data story of terabytes and serverless
Editor’s note: In Today’s guest post we hear from beauty leader L’Oréal about their approach to building a modern data platform on fully managed services: managing the ingest of diverse datasets into BigQuery with Cloud Run, and orchestrating transformations into relevant business domain representations for stakeholders across the organization.
Build a serverless pipeline to analyze streaming data using AWS Glue, Apache Hudi, and Amazon S3
To deliver on these requirements, organizations have to build custom frameworks to handle in-place updates (also referred as upserts), handle small files created due to the continuous ingestion of changes from upstream systems (such as databases), handle schema evolution, and compromise on providing ACID guarantees on its data lake
To consume this streaming data, we set up an AWS Glue streaming ETL job that uses the Apache Hudi Connector for AWS Glue to write ingested and transformed data to Amazon S3, and also creates a table in the AWS Glue Data Catalog.
Make data available for analysis in seconds with Upsolver low-code data pipelines, Amazon Redshift Streaming Ingestion, and Amazon Redshift Serverless
Upsolver is an AWS Advanced Technology Partner that enables you to ingest data from a wide range of sources, transform it, and load the results into your target of choice, such as Kinesis Data Streams and Amazon Redshift.