Hacker News

JULY 1, 2025

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. Already passed a FSP once, but was denied agency specific suitability.

Python 57

Python AWS SQL ML 57

Pickl AI

FEBRUARY 23, 2025

Evaluate Community Support and Documentation A strong community around a tool often indicates reliability and ongoing development. Evaluate the availability of resources such as documentation, tutorials, forums, and user communities that can assist you in troubleshooting issues or learning how to maximize tool functionality.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Pickl AI

MARCH 19, 2025

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. MongoDB MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. Cloud-based tools like Snowflake and BigQuery enhance scalability and performance.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

DECEMBER 4, 2024

Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics. Data Visualisation Skills: Tools like Tableau or Power BI are vital for presenting insights clearly.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 2, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52