Data Collection Data Ingestion Transportation 
AltexSoft
JUNE 26, 2023
While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?
Striim
JULY 10, 2024
Data Collection and Integration: Data is gathered from various sources, including sensor and IoT data, transportation management systems, transactional systems, and external data sources such as economic indicators or traffic data. Here’s the process. That’s where Striim came into play.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
JANUARY 20, 2021
The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge. Factory ID.
Striim
OCTOBER 11, 2024
Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.
Netflix Tech
OCTOBER 19, 2020
Stream Processing: to sample or not to sample trace data? This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. Mantis is our go-to platform for processing operational data at Netflix.
Netflix Tech
MARCH 25, 2019
As a result, a single consolidated and centralized source of truth does not exist that can be leveraged to derive data lineage truth. Therefore, the ingestion approach for data lineage is designed to work with many disparate data sources. push or pull. Today, we are operating using a pull-heavy model.
Knowledge Hut
APRIL 25, 2024
Only one in three data scientists claim to be specialist in geographical analysis, indicating that there are still very few spatial data scientists. Generally, five key steps comprise the standard workflow for spatial data scientists, which takes them from data collection to offering business insights after the process.
Expert insights. Personalized for you.
52 
Let's personalize your content