Remove Apache Kafka Remove Big Data Analytics Remove Deep Learning
article thumbnail

Big Data Syllabus: A Comprehensive Overview

Pickl AI

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

article thumbnail

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

ML 87
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential. Here are some project ideas suitable for students interested in big data analytics with Python: 1. Implement real-time analytics to monitor trends or anomalies in the data. ImageNet).

article thumbnail

ML Pipeline Architecture Design Patterns (With 10 Real-World Examples)

The MLOps Blog

1 Data Ingestion (e.g., Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., Scikit-learn, Feature Tools) 4 Model Training (e.g., Scikit-learn, MLflow) 6 Model Deployment (e.g., Federated learning What is federated learning architecture? TensorFlow, PyTorch) 5 Model Evaluation (e.g.,

ML 52