ODSC - Open Data Science

APRIL 12, 2023

Microsoft Azure Comprising more than 200 products and cloud services, Microsoft Azure aims to meet organizations where they are (in the cloud, in-person, or a hybrid of the two) to help develop new business solutions. Check out a few of them below.

Data Science 97

Data Science Azure AI AI 97

Dataconomy

JULY 11, 2024

Internet of Things (IoT) integration IoT platforms The integration of IoT in mobile apps is expanding, with platforms like AWS IoT and Azure IoT offering robust solutions. Cloud platforms like AWS, Google Cloud, and Microsoft Azure provide tools and services that simplify app development and deployment.

Azure 103

Azure Machine Learning Machine Learning AWS 103

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. Find the way to work with IoT data in the most efficient way.

Business Intelligence 122

Business Intelligence Business Intelligence Internet of Things Analytics 122

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

ODSC - Open Data Science

MAY 31, 2023

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Dataconomy

SEPTEMBER 4, 2023

IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment. Cloud platforms like AWS, Azure, and Google Cloud offer scalable resources that can be provisioned on-demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

Data Quality 116

Data Quality Data Pipeline Database Internet of Things 116

IBM Journey to AI blog

JANUARY 29, 2024

Even relatively simple, everyday objects now routinely generate data on their own thanks to Internet of Things (IoT) functionality. Popular Desktop as a Service (DaaS) products include Azure Virtual Desktop from Microsoft and its Windows VDI. The same basic situation also plagues the world of IT.

Internet of Things 120

Internet of Things Algorithm Azure Artificial Intelligence 120

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

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

Hacker News

JULY 18, 2023

Extending the MERGE superpower in Citus 12 Schema-based sharding is super exciting and the biggest enhancement in Citus 12, but we also continue to improve Citus for other scenarios, including row-based multi-tenancy and Internet-of-things (IoT) scenarios. is just released, it is not yet available on Azure but it will be soon.

Database 123

Database SQL Data Modeling Data Models 123

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

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. This operating model increases operational efficiency and can better organize big data.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Internet of Things AWS 85

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

Pickl AI

JULY 24, 2023

Real-Time Data Ingestion Examples Here are some examples of real-time data ingestion applications: Internet of Things (IoT) Devices: IoT devices generate a vast amount of data, such as temperature, humidity, location, and sensor readings.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52

Pickl AI

DECEMBER 2, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Defined.ai blog

SEPTEMBER 5, 2023

With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded. Microsoft Azure Machine Learning : A comprehensive suite by Microsoft, it allows businesses to build, train, and deploy AI models using retail sales data.

AI 52

AI AI Machine Learning Machine Learning 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

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. However, this can be time-consuming and prone to human error, leading to misinformation. What are the Best Data Modeling Methodologies and Processes?

Data Lakes 52

Data Lakes Data Models Data Modeling Data Warehouse 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

ODSC - Open Data Science

JULY 25, 2023

Advancement in Cloud Computing and Edge Computing: With the increasing popularity of cloud computing, more and more organizations are turning to cloud service providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform to store and process their data.

AI 52

AI AI Cloud Computing Artificial Intelligence 52

Dataconomy

APRIL 4, 2023

Microsoft Azure:   Microsoft Azure is another major player in the cloud computing space, providing a range of Anything as a Service solutions, including IaaS, PaaS, SaaS, and Data as a Service (DaaS).

Cloud Computing 79

Cloud Computing Internet of Things Azure Artificial Intelligence 79

Dataconomy

APRIL 4, 2023

Microsoft Azure:   Microsoft Azure is another major player in the cloud computing space, providing a range of Anything as a Service solutions, including IaaS, PaaS, SaaS, and Data as a Service (DaaS).

Cloud Computing 70

Cloud Computing Internet of Things Azure Artificial Intelligence 70

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

JUNE 18, 2024

Furthermore, Power BI’s integration with Azure Machine Learning allows users to incorporate AI and machine learning capabilities into their reports and dashboards. The Internet of Things (IoT) generates vast amounts of data from sensors and connected devices. How Can AI be Integrated With Power BI Projects?

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Alation

AUGUST 2, 2022

Delivering a smart, automated network with advances in 5G and internet of things (IoT) technology. Internally, Spark was able to democratize data, creating a single source of customer data by integrating Microsoft Azure, Snowflake, and Alation’s data catalog.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52