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Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users. How does Apache Kafka work?

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Key storage solutions include: Data Lakes: Centralised repositories that store raw data in its native format until needed for analysis. Data Lakes allows for flexibility in handling different data types. In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Key storage solutions include: Data Lakes: Centralised repositories that store raw data in its native format until needed for analysis. Data Lakes allows for flexibility in handling different data types. In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds.

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Predicting the Future of Data Science

Pickl AI

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making.

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.