Dataconomy

APRIL 26, 2023

The realm of edge computing has witnessed a substantial surge in recent years, propelled by the proliferation of remote work, the Internet of Things (IoT), and augmented/virtual reality (AR/VR) technologies, which have necessitated connectivity at the network’s periphery and novel applications.

Internet of Things 156

Internet of Things Azure AWS Cloud Computing 156

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. All processing and machine-learning-related tasks are implemented in the analytics platform.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Hacker News

JULY 18, 2023

Moreover, the cluster can be rebalanced based on disk usage, such that large schemas automatically get more resources dedicated to them, while small schemas are efficiently packed together. The MERGE will re-partition the data across the cluster on the fly, in one parallel, distributed transaction. metric = alerts. alert_id , m.

Database 123

Database SQL Data Models Data Modeling 123

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

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. They enable distributed processing across clusters, allowing organisations to handle vast amounts of data efficiently.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. They enable distributed processing across clusters, allowing organisations to handle vast amounts of data efficiently.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 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