Data Science Dojo

JANUARY 12, 2023

An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Hadoop systems and data lakes are frequently mentioned together. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

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. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. It’s faster and more accurate.

Analytics 133

Analytics Analytics Big Data Analytics Big Data Analytics 133

Pickl AI

JULY 29, 2024

Summary: A Hadoop cluster is a collection of interconnected nodes that work together to store and process large datasets using the Hadoop framework. Introduction A Hadoop cluster is a group of interconnected computers, or nodes, that work together to store and process large datasets using the Hadoop framework.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized. Data Warehouse.

Data Lakes 135

Data Lakes Data Warehouse Big Data Big Data 135

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

It is typically a single store of all enterprise data, including raw copies of source system data and transformed data used for tasks such as reporting, visualization, advanced analytics, and machine learning. 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

Pickl AI

DECEMBER 2, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52