ODSC - Open Data Science

APRIL 23, 2025

Confluent Confluent provides a robust data streaming platform built around Apache Kafka. Credits can be used to run Python functions in the cloud without infrastructure management, ideal for ETL jobs, ML inference, or batch processing.

Data Scientist 52

Data Scientist Azure Apache Kafka ML 52

Pickl AI

JULY 25, 2024

Apache Kafka An open-source platform designed for real-time data streaming. AWS Glue A fully managed ETL service that makes it easy to prepare and load data for analytics. Data Ingestion Tools To facilitate the process, various tools and technologies are available. It supports both batch and real-time processing.

Apache Kafka 52

Apache Kafka Data Lakes Data Warehouse Data Quality 52

Pickl AI

NOVEMBER 4, 2024

Key components of data warehousing include: ETL Processes: ETL stands for Extract, Transform, Load. ETL is vital for ensuring data quality and integrity. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

JULY 24, 2023

Data warehousing and ETL (Extract, Transform, Load) procedures frequently involve batch processing. Utilising data streaming platforms such as Apache Kafka, Apache Flink, or Apache Spark Streaming, data is gathered from many sources and processed in real-time or close to real-time.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52

DagsHub

OCTOBER 23, 2024

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. is similar to the traditional Extract, Transform, Load (ETL) process. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

SEPTEMBER 27, 2024

Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. In traditional ETL (Extract, Transform, Load) processes in CDPs, staging areas were often temporary holding pens for data. But the power of logs doesn’t stop there.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

Pickl AI

MARCH 19, 2025

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. The global Big Data and data engineering market, valued at $75.55

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52