article thumbnail

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

Hacker News

I've done a lot of work in developer tools and data visualization of various kinds. Data-rich, non-traditional UIs with highly optimized UX, and rapid prototyping are my forte. Recent technical write-up and open-source project I made that reached #1 on HackerNews: https://ptx2.net/posts/unbricking-a-bike-with-a-raspberry-pi

Python 58
article thumbnail

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. The global Big Data and data engineering market, valued at $75.55

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Navigating the Big Data Frontier: A Guide to Efficient Handling

Women in Big Data

Refer to Unlocking the Power of Big Data Article to understand the use case of these data collected from various sources. Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts.

article thumbnail

11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

Spark offers a versatile range of functionalities, from batch processing to stream processing, making it a comprehensive solution for complex data challenges. Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer.

article thumbnail

Building a Pizza Delivery Service with a Real-Time Analytics Stack

ODSC - Open Data Science

We’re going to assume that the pizza service already captures orders in Apache Kafka and is also keeping a record of its customers and the products that they sell in MySQL. Apache Pinot is a real-time OLAP database built at LinkedIn to deliver scalable real-time analytics with low latency.

article thumbnail

Predicting the Future of Data Science

Pickl AI

Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Master Data Visualization Techniques Data visualization is key to effectively communicating insights.

article thumbnail

Big Data Syllabus: A Comprehensive Overview

Pickl AI

APIs Understanding how to interact with Application Programming Interfaces (APIs) to gather data from external sources. Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Once data is collected, it needs to be stored efficiently.