AWS Machine Learning Blog

JUNE 18, 2024

This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.

Generative AI 125

Generative AI Data Ingestion Python LLM 125

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Pickl AI

OCTOBER 10, 2024

Its drag-and-drop interface makes it user-friendly, allowing data engineers to build complex workflows without extensive coding knowledge. Nifi excels in data ingestion, routing, transformation, and system-to-system data flow management. AWS Glue AWS Glue is a fully managed ETL service provided by Amazon Web Services.

ETL 52

ETL Data Quality Business Intelligence Big Data 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.

ETL 59

ETL Categorization Automation Data Integration 59

ODSC - Open Data Science

SEPTEMBER 29, 2023

Arjuna Chala, associate vice president, HPCC Systems For those not familiar with the HPCC Systems data lake platform, can you describe your organization and the development history behind HPCC Systems? They were interested in creating a data platform capable of managing a sizable number of datasets.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

The MLOps Blog

JANUARY 26, 2024

Keeping track of how exactly the incoming data (the feature pipeline’s input) has to be transformed and ensuring that each model receives the features precisely how it saw them during training is one of the hardest parts of architecting ML systems. This is where feature stores come in. What is a feature store?

Machine Learning 72

Machine Learning Metadata ML Python 72

TransOrg Analytics

SEPTEMBER 24, 2024

Data Foundation on AWS Amazon S3: Scalable storage foundation for data lakes. AWS Lake Formation: Simplify the process of creating and managing a secure data lake. Amazon Redshift: Fast, scalable data warehouse for analytics. AWS Glue: Fully managed ETL service for easy data preparation and integration.

ETL 52

ETL Data Ingestion LLM Automation 52