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A few automated and enhanced features for feature engineering, model selection and parameter tuning, naturallanguageprocessing, and semantic analysis are noteworthy. Panoply Panoply is a cloud-based, intelligent end-to-end data management system that streamlines data from source to analysis without using ETL.
A unified data fabric also enhances data security by enabling centralised governance and compliance management across all platforms. Automated DataIntegration and ETL Tools The rise of no-code and low-code tools is transforming dataintegration and Extract, Transform, and Load (ETL) processes.
It’s optimized with performance features like indexing, and customers have seen ETL workloads execute up to 48x faster. Open and agile : All data in Delta Lake is stored in open Apache Parquet format, allowing data to be read by any compatible reader. It helps data engineering teams by simplifying ETL development and management.
Marcos Fernández Díaz is a Senior Data Scientist at Keepler, with 10 years of experience developing end-to-end machine learning solutions for different clients and domains, including predictive maintenance, time series forecasting, image classification, object detection, industrial process optimization, and federated machine learning.
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