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

DagsHub

OCTOBER 23, 2024

Managing unstructured data is essential for the success of machine learning (ML) projects. This article will discuss managing unstructured data for AI and ML projects. You will learn the following: Why unstructured data management is necessary for AI and ML projects. How to properly manage unstructured data.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Mlearning.ai

MAY 16, 2023

The events can be published to a message broker such as Apache Kafka or Google Cloud Pub/Sub. One popular example of the MapReduce pattern is Apache Hadoop, an open-source software framework used for distributed storage and processing of big data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

JULY 8, 2024

Must Read Blogs: Elevate Your Data Quality: Unleashing the Power of AI and ML for Scaling Operations. Techniques for Improving Scalability and Reliability Start by leveraging distributed computing frameworks such as Apache Spark or Hadoop to improve scalability. The Difference Between Data Observability And Data Quality.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

Alation

AUGUST 4, 2022

“Setting up Hadoop on-premises was a huge undertaking. Spark, Tensorflow, Apache Kafka, et cetera, are all out found in cloud databases,” points out Jones. We also need to “learn about both better AI/ML /analysis tools and understanding the implicit and explicit biases that exist within them.”

Big Data 95

Big Data Big Data Apache Kafka Data Lakes 95

Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Here are five key trends to watch.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Use Cases : Yahoo!

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52