Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. Hadoop has also helped considerably with weather forecasting. So, what’s behind the stellar transformation of weather technology?

Analytics 130

Analytics Analytics Big Data Analytics Big Data Analytics 130

Smart Data Collective

SEPTEMBER 23, 2020

On the other hand, data lakes store from an extensive array of sources like real-time social media streams, Internet of Things devices, web app transactions, and user data. A big data analytic can work on data lakes with the use of Apache Spark as well as Hadoop.

Data Lakes 106

Data Lakes Data Warehouse Big Data Big Data 106

Data Science Dojo

JANUARY 12, 2023

Hadoop systems and data lakes are frequently mentioned together. Data is loaded into the Hadoop Distributed File System (HDFS) and stored on the many computer nodes of a Hadoop cluster in deployments based on the distributed processing architecture.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Mlearning.ai

AUGUST 18, 2023

Utilizing Big Data, the Internet of Things, machine learning, artificial intelligence consulting , etc., On top of this, technologies like the Internet of Things (IoT) allow doctors to monitor patient’s health remotely. allows data scientists to revolutionize the entire sector.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

Pickl AI

JULY 20, 2023

IoT (Internet of Things) Analytics Projects: IoT analytics involves processing and analyzing data from IoT devices to gain insights into device performance, usage patterns, and predictive maintenance.

Analytics 40

Analytics Analytics Big Data Big Data 40

Data Science Dojo

JULY 24, 2023

Hadoop Distributed File System (HDFS) : HDFS is a distributed file system designed to store vast amounts of data across multiple nodes in a Hadoop cluster. Internet of Things (IoT) Data Processing: Stream processing is vital for handling continuous data streams from IoT devices, enabling real-time monitoring and control.

Big Data 195

Big Data Big Data Data Engineering Data Engineer 195

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