Smart Data Collective

JANUARY 10, 2023

Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

Smart Data Collective

SEPTEMBER 21, 2021

With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations. These solutions must also be able to ingest and integrate data from both on-premise and cloud environments such as Oracle, SAP and AWS, Google, Snowflake, etc.

Data Quality 131

Data Quality Data Pipeline Database Internet of Things 131

Data Science Connect

JULY 26, 2023

Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are leveraging their extensive cloud infrastructure to create edge computing solutions. They are harnessing the power of the Industrial Internet of Things (IIoT) and edge computing to optimize processes, increase efficiency, and reduce downtime.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

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 112

Cloud Computing Internet of Things Big Data Big Data 112

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.

Cloud Computing 52

Cloud Computing Internet of Things Database Artificial Intelligence 52

IBM Journey to AI blog

FEBRUARY 6, 2024

Internet companies like Amazon led the charge with the introduction of Amazon Web Services (AWS) in 2002, which offered businesses cloud-based storage and computing services, and the launch of Elastic Compute Cloud (EC2) in 2006, which allowed users to rent virtual computers to run their own applications. Google Workspace, Salesforce).

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

IBM Journey to AI blog

JANUARY 29, 2024

Examples include AWS® , Google Cloud Services® , IBM Cloud® , and Microsoft Azure® The cloud computing infrastructure bridges a gap for cloud resources, making it easier and scalable for an organization to run every workload. Instead of purchasing more hardware, the organization shifted to a cloud-based strategy.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Internet of Things AWS 85

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

SEPTEMBER 11, 2023

Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. The ability to ingest hundreds of thousands of rows each second is critical for more and more applications, particularly for mobile computing and the Internet of Things (IoT).

Database 101

Database SQL Data Warehouse Machine Learning 101

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. To accomplish this, enterprises are relying more than ever on cloud functions and reducing their dependence on on-premises infrastructure.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

Dataconomy

APRIL 4, 2023

Best XaaS companies Here are some of the best Anything as a Service companies, in no particular order: Amazon Web Services (AWS):   AWS is a leading provider of cloud computing services, offering a wide range of XaaS solutions, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Cloud Computing 79

Cloud Computing Internet of Things Azure Artificial Intelligence 79

phData

SEPTEMBER 19, 2023

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. As mentioned above, AWS Glue is a fully managed metadata catalog service provided by AWS. What are the Best Data Modeling Methodologies and Processes?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Dataconomy

APRIL 4, 2023

Best XaaS companies Here are some of the best Anything as a Service companies, in no particular order: Amazon Web Services (AWS):   AWS is a leading provider of cloud computing services, offering a wide range of XaaS solutions, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Cloud Computing 70

Cloud Computing Internet of Things Azure Artificial Intelligence 70