Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Striim

SEPTEMBER 11, 2024

Data Collection/Ingestion The next component in the data pipeline is the ingestion layer, which is responsible for collecting and bringing data into the pipeline. By efficiently handling data ingestion, this component sets the stage for effective data processing and analysis.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

APRIL 18, 2024

Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Snowflake allows security teams to store all their data in a single platform and maintain it all in a readily accessible state, with virtually unlimited cloud data storage capacity.

Data Lake 82

Data Lake Data Ingestion Bytes Cloud Computing 82

Cloudera

FEBRUARY 8, 2021

Future connected vehicles will rely upon a complete data lifecycle approach to implement enterprise-level advanced analytics and machine learning enabling these advanced use cases that will ultimately lead to fully autonomous drive.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

The Modern Data Company

MAY 8, 2023

Data hubs often include data governance and quality management tools, which help ensure data consistency, security, and compliance. By serving as a central point of access for multiple data sources, they streamline the process of locating and retrieving the required data for analytics or processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data hubs often include data governance and quality management tools, which help ensure data consistency, security, and compliance. By serving as a central point of access for multiple data sources, they streamline the process of locating and retrieving the required data for analytics or processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data hubs often include data governance and quality management tools, which help ensure data consistency, security, and compliance. By serving as a central point of access for multiple data sources, they streamline the process of locating and retrieving the required data for analytics or processing.

Data Management 52

Data Management Management Data Lake Data Governance 52