CIO Business Intelligence

MAY 3, 2022

A strong governance plan that includes best practices like tagging, workload management, RACI [responsible, accountable, consulted, and informed] matrix , rightsizing, cost management, security monitoring, etc., Managing microservices. NTT Data recently worked on microservices with online store builder Volusion. “We

Management 143

Management Scorecard Cost-Benefit Risk 143

Rocket-Powered Data Science

FEBRUARY 15, 2023

Know thy data: understand what it is (formats, types, sampling, who, what, when, where, why), encourage the use of data across the enterprise, and enrich your datasets with searchable (semantic and content-based) metadata (labels, annotations, tags). The latter is essential for Generative AI implementations.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service.

Analytics 119

Analytics Data Processing Optimization Metrics 119

AWS Big Data

MARCH 30, 2023

In the post Microservices development using AWS controllers for Kubernetes (ACK) and Amazon EKS blueprints , we show how to use ACK for microservices development. He works with AWS customers to design microservices and cloud native solutions using Amazon EKS/ECS and AWS serverless services.

Data-driven 71

Data-driven Metadata Testing Management 71

IBM Big Data Hub

DECEMBER 19, 2023

This includes rearchitecting to microservices , lift-and-shift , replatforming, refactoring, replacing and more. For many enterprises, the journey to cloud reduces technical debt costs and meets CapEx-to-OpEx objectives. Service transition reviews to support IT service and incident management and resolution.

Data-driven 69

Data-driven Software Enterprise Testing 69

Ontotext

NOVEMBER 22, 2020

Data synchronization, microservice orchestration and domains with complex schemas are much easier in GraphQL. Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

IBM Big Data Hub

NOVEMBER 29, 2023

In this project, we used a loan origination application that was modernized to use Kubernetes and microservices. Each component or BIAN Service Domain is implemented through a microservice, which is deployed on an OCP cluster on IBM Cloud. This tagging system ensures the image’s traceability. initiative.

Testing 97

Testing Dashboards Risk Data Processing 97