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Big Data Syllabus: A Comprehensive Overview

Pickl AI

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. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing. Once data is collected, it needs to be stored efficiently.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

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. Kafka is highly scalable and ideal for high-throughput and low-latency data pipeline applications.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Real-time Data Stream Analysis: Use Python with libraries like Apache Kafka and Apache Spark to process and analyze real-time data streams from sources like Twitter, sensors, or website logs. Image Recognition with Deep Learning: Use Python with TensorFlow or PyTorch to build an image recognition model (e.g.,