Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

AUGUST 17, 2022

But keep in mind one thing which is you have to either replicate the topics in your cloud cluster or you will have to develop a custom connector to read and copy back and forth from the cloud to the application. Although it should be done whenever you deal with specific data types, the possibilities are endless here.

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

IBM Journey to AI blog

AUGUST 6, 2024

Serverless, or serverless computing, is an approach to software development that empowers developers to build and run application code without having to worry about maintenance tasks like installing software updates, security, monitoring and more. Despite its name, a serverless framework doesn’t mean computing without servers.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

ODSC - Open Data Science

JUNE 19, 2023

As the name suggests, real-time operating systems (RTOS) handle real-time applications that undertake data and event processing under a strict deadline. This entails the use of other technologies such as distributed computing, edge computing, and cloud computing.

Big Data 96

Big Data Big Data Artificial Intelligence Artificial Intelligence 96

Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. They are crucial in ensuring data is readily available for analysis and reporting.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

The MLOps Blog

JUNE 27, 2023

Monte Carlo Monte Carlo is a popular data observability platform that provides real-time monitoring and alerting for data quality issues. It could help you detect and prevent data pipeline failures, data drift, and anomalies. Metaplane supports collaboration, anomaly detection, and data quality rule management.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Pickl AI

JULY 8, 2024

Within this data ocean, a specific type holds immense value: time series data. This data captures measurements or events at specific points in time, essentially creating a digital record of how something changes over time. Aggregation and Downsampling TSDBs offer functionalities to aggregate data over time intervals (e.g.,

Database 52

Database Data Pipeline Machine Learning Machine Learning 52