Marktechpost

JUNE 13, 2024

Detailed Examination of Tools Apache Spark: An open-source platform supporting multiple languages (Python, Java, SQL, Scala, and R). It is suitable for distributed and scalable large-scale data processing, providing quick big-data query and analysis capabilities. Weaknesses: Steep learning curve, especially during initial setup.

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ETL Machine Learning Data Ingestion Big Data 130

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.

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ETL Explainability Data Integration Data Extraction 52

AWS Machine Learning Blog

MAY 5, 2023

The following figure shows an example diagram that illustrates an orchestrated extract, transform, and load (ETL) architecture solution. For example, searching for the terms “How to orchestrate ETL pipeline” returns results of architecture diagrams built with AWS Glue and AWS Step Functions.

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Metadata ETL Data Ingestion ML 103

Pickl AI

JULY 8, 2024

Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation. Step 3: Data Transformation Data transformation focuses on converting cleaned data into a format suitable for analysis and storage.

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Pickl AI

APRIL 6, 2023

Strong programming language skills in at least one of the languages like Python, Java, R, or Scala. Answer : Data Masking features available in Azure include Azure SQL Database masking, Dynamic data masking, Azure Data Factory masking, Azure Data Share Masking, and Azure Synapse Analytics masking.

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ETL Big Data Data Ingestion Software Engineer 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

Enterprises using Spark for a data lake implementation need to source and integrate additional software for tools that support user management, data storage and delivery, execution control, and administration. It truly is an all-in-one data lake solution. It’s not a widely known programming language like Java, Python, or SQL.

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Big Data ETL Data Science Data Ingestion 52

The MLOps Blog

MARCH 15, 2023

A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. Data Ingestion : Involves raw data collection from origin and storage using architectures such as batch, streaming or event-driven.

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ETL Categorization Automation Data Integration 59