Dataconomy

SEPTEMBER 4, 2023

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Pickl AI

MARCH 1, 2023

Cloud computing is a way to use the internet to access different types of technology services. These services include things like virtual machines, storage, databases, networks, and tools for artificial intelligence and the Internet of Things. It is managed by a cloud service provider.

Cloud Computing 52

Cloud Computing Internet of Things Database Artificial Intelligence 52

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 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

IBM Journey to AI blog

FEBRUARY 6, 2024

Here’s a rundown of the most common cloud computing services available from the major CSPs—Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure—and other cloud services providers like VMware : Software-as-service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software (e.g.,

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

Pickl AI

DECEMBER 2, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

phData

SEPTEMBER 19, 2023

This data can be structured, semi-structured, or unstructured and comes from various sources such as databases, IoT devices, log files, etc. Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

The MLOps Blog

FEBRUARY 5, 2023

Azure Stream Analytics : A cloud-based service that can be used to process streaming data in real-time. Internet of Things : Streaming data is important for IoT device communication and data collection, it allows devices to send and receive data in real-time and helps in more accurate and efficient decision making.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Alation

AUGUST 2, 2022

Too often, companies manage data in spreadsheets or individual databases. Delivering a smart, automated network with advances in 5G and internet of things (IoT) technology. Legacy Technologies and Manual Processes. Customer centricity requires modernized data and IT infrastructures.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52

ODSC - Open Data Science

JULY 11, 2023

Cloud data centers: These are data centers owned and operated by cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and provide a range of services on a pay-as-you-go basis. General availability of Azure OpenAI Service expands access to large advanced AI models with added enterprise benefits, on [link] 4.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40