Dataconomy

SEPTEMBER 4, 2023

Text analytics is crucial for sentiment analysis, content categorization, and identifying emerging trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

Apache Kafka 59

Apache Kafka Internet of Things Data Pipeline Clustering 59

IBM Journey to AI blog

AUGUST 6, 2024

Today, all leading CSPs, including Amazon Web Services (AWS Lambda), Microsoft Azure (Azure Functions) and IBM (IBM Cloud Code Engine) offer serverless platforms. Big data analytics Serverless dramatically reduces the cost and complexity of writing and deploying code for big data applications.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Google Workspace, Salesforce).

Cloud Computing 122

Cloud Computing Big Data Big Data Internet of Things 122

IBM Journey to AI blog

MARCH 20, 2024

Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure) makes computing resources (e.g., ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms) available to users over the public internet on a pay-per-usage basis. What is a public cloud?

Cloud Computing 119

Cloud Computing Internet of Things Big Data Big Data 119