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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.

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Ask HN: Who wants to be hired? (July 2025)

Hacker News

Contribute to internal and external documentation to improve customer experiences. Résumé/CV: https://docs.google.com/document/d/1rbRrniApQGI-P14c6lCTfLN7. Oh, also, I'm great at writing documentation. If it has a manual or documentation, I'm happy to learn it. Technologies: Lots.

Python 69
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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. offers Data Science courses covering essential data tools with a job guarantee. It integrates well with various data sources, making analysis easier.

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Enhanced diagnostics flow with LLM and Amazon Bedrock agent integration

Flipboard

Data ingestion and processing EV charging stations send real-time charging data to AWS IoT Core , which acts as the initial entry point for data processing. The data is then transmitted to Amazon Managed Streaming for Apache Kafka (Amazon MSK) to facilitate high-throughput, reliable streaming.

AWS 140
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Did Big Data Deliver Business Transformation & Improved CX?

Alation

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.