Data Science Dojo
JULY 6, 2023
Data engineering tools are software applications or frameworks specifically designed to facilitate the process of managing, processing, and transforming large volumes of data. Airflow: Apache Airflow is an open-source platform for orchestrating and scheduling data pipelines.
Smart Data Collective
AUGUST 17, 2022
Kafka And ETL Processing: You might be using Apache Kafka for high-performance data pipelines, stream various analytics data, or run company critical assets using Kafka, but did you know that you can also use Kafka clusters to move data between multiple systems. A three-step ETL framework job should do the trick.
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The MLOps Blog
MAY 17, 2023
However, efficient use of ETL pipelines in ML can help make their life much easier. This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines.
Pickl AI
JULY 3, 2023
What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50
ODSC - Open Data Science
JANUARY 18, 2024
This individual is responsible for building and maintaining the infrastructure that stores and processes data; the kinds of data can be diverse, but most commonly it will be structured and unstructured data. They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable.
Smart Data Collective
SEPTEMBER 19, 2022
However, to take full advantage of big data’s powerful capabilities, choosing BI and ETL solutions cannot be over-emphasized. ETL and Business Intelligence solutions make dealing with large volumes of data easy. Additionally, they help fintech companies predict market trends, driving profitability.
Smart Data Collective
SEPTEMBER 8, 2021
The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements.
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