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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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Major Differences: Kafka vs RabbitMQ

Pickl AI

Choosing between them depends on your systems needsRabbitMQ is best for workflows, while Kafka is ideal for event-driven architectures and big data processing. They act as a middleman, helping different systems exchange information smoothly. Two of the most popular message brokers are RabbitMQ and Apache Kafka.

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

Hacker News

July 2025) 67 points by whoishiring 10 hours ago | hide | past | favorite | 170 comments Share your information if you are looking for work. Email: michal [at] piasecki [dot] it reply PrivateAcc981 10 hours ago | prev | next [–] Hello HN, I have close to 20 years of experience in information systems and data solutions.

Python 58
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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. What Does a Data Engineer Do? billion by 2033 , growing at 17.6%

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Enhanced diagnostics flow with LLM and Amazon Bedrock agent integration

Flipboard

Traditional systems lack the capability to efficiently process vast amounts of real-time and historical data or provide personalized, station-level recommendations. This limits operators ability to make timely, informed decisionsresulting in higher electricity costs, underutilized assets, and a subpar customer experience.

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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

The generation and accumulation of vast amounts of data have become a defining characteristic of our world. This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. text, images, videos).

Big Data 195
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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Journey to AI blog

It allows your business to ingest continuous data streams as they happen and bring them to the forefront for analysis, enabling you to keep up with constant changes. Apache Kafka boasts many strong capabilities, such as delivering a high throughput and maintaining a high fault tolerance in the case of application failure.