AI News

AUGUST 29, 2023

Operationalisation needs good orchestration to make it work, as Basil Faruqui, director of solutions marketing at BMC , explains. “If CRMs and ERPs had been going the SaaS route for a while, but we started seeing more demands from the operations world for SaaS consumption models,” explains Faruqui.

Data Ingestion 227

Data Ingestion Big Data Explainability ETL 227

Pickl AI

OCTOBER 17, 2024

Summary: The ETL process, which consists of data extraction, transformation, and loading, is vital for effective data management. Following best practices and using suitable tools enhances data integrity and quality, supporting informed decision-making. Introduction The ETL process is crucial in modern data management.

ETL 52

ETL Explainability Data Integration Data Extraction 52

AWS Machine Learning Blog

APRIL 4, 2024

Explainability – Providing transparency into why certain stories are recommended builds user trust. AWS Glue performs extract, transform, and load (ETL) operations to align the data with the Amazon Personalize datasets schema. We discuss more about how to use items and interactions data attributes in DynamoDB later in this post.

ETL 101

ETL Auto-complete Metadata Data Ingestion 101

Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. Introduction Data pipelines play a pivotal role in modern data architecture by seamlessly transporting and transforming raw data into valuable insights.

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Data Quality ETL Data Integration Automation 52

Heartbeat

NOVEMBER 6, 2023

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You also learned how to build an Extract Transform Load (ETL) pipeline and discovered the automation capabilities of Apache Airflow for ETL pipelines.

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ETL Python Metadata Deep Learning 52