DagsHub

JANUARY 14, 2025

A simple python implementation is shown below. Below is a sample python code snippet demonstrating fuzzy matching using Levenshtein distance. Clustering: Clustering can group texts using features like embedding vectors or TF-IDF vectors. Duplicate texts naturally tend to fall into the same clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Algorithm 52

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. Apache Spark A fast, in-memory data processing engine that provides support for various programming languages, including Python, Java, and Scala.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 20, 2023

Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. Here are some project ideas suitable for students interested in big data analytics with Python: 1. Movie Recommendation System: Use Python and collaborative filtering techniques (e.g., ImageNet).

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

NOVEMBER 4, 2024

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

DagsHub

OCTOBER 23, 2024

Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Kafka is highly scalable and ideal for high-throughput and low-latency data pipeline applications. The tool offers a web UI as well as Python and TypeScript SDKs for developers.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

The MLOps Blog

MARCH 15, 2023

Typical examples include: Airbyte Talend Apache Kafka Apache Beam Apache Nifi While getting control over the process is an ideal position an organization wants to be in, the time and effort needed to build such systems are immense and frequently exceeds the license fee of a commercial offering. It connects to many DBs.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

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. Statistics Kafka handles over 1.1

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

AWS Machine Learning Blog

FEBRUARY 7, 2025

For the time being, we use Amazon EKS to offload the management overhead to AWS, but we could easily deploy on a standard Kubernetes cluster if needed. With our new model, we first tried performing inference in Python with Flask and PyTorch, as well as with BentoML. We use Karpenter as the cluster auto scaler.

Analytics 64

Analytics Analytics AWS Clustering 64