Structured Data Transportation Unstructured Data 
Knowledge Hut
MAY 31, 2023
AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.
Knowledge Hut
APRIL 23, 2024
Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? However, it also severely limits the scope of the data.
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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.
Cloudera
OCTOBER 28, 2021
Retail – location (and associated risk), type of equipment used, inventory sensors, supply chain data, hours of operation. Transportation – Weather, location, aerial drone imagery, telematics. In the last few years, Commercial Insurers have been making great strides in expanding the use of their data.
Monte Carlo
MAY 28, 2024
Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources. Data Storage with Apache HBase : Provides scalable, high-performance storage for structured and semi-structured data.
AltexSoft
JUNE 26, 2023
Data ingestion means taking data from several sources and moving it to a target system without any transformation. So it can be a part of data integration or a separate process aiming at transporting information in its initial form. Key differences between structured, semi-structured, and unstructured data.
Monte Carlo
FEBRUARY 15, 2023
Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc. Data can be loaded in batches or can be streamed in near real-time. Structured, semi-structured, and unstructured data can be loaded.
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