ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

ODSC - Open Data Science

APRIL 23, 2025

In todays fast-moving machine learning and AI landscape, access to top-tier tools and infrastructure is a game-changer for any data science team. Thats why AI creditsvouchers that grant free or discounted access to cloud services and machine learning platformsare increasingly valuable.

Data Scientist 52

Data Scientist Azure Apache Kafka ML 52

DagsHub

OCTOBER 23, 2024

Managing unstructured data is essential for the success of machine learning (ML) projects. 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.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

ODSC - Open Data Science

JULY 22, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes. On Wednesday, Henk Boelman, Senior Cloud Advocate at Microsoft, spoke about the current landscape of Microsoft Azure, as well as some interesting use cases and recent developments.

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. REGISTER NOW Data Orchestration and Workflow Management Apache Airflow Apache Airflow is renowned for its ability to build and schedule complex data pipelines.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. Continuous learning and adaptation will be essential for data professionals. Automated Machine Learning (AutoML) will democratize access to Data Science tools and techniques.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

FEBRUARY 5, 2023

In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. It can be used to process both batch and streaming data and has built-in support for machine learning and graph processing. What is streaming data?

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72