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. A data engineer creates and manages the pipelines that transfer data from different sources to databases or cloud storage. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 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

Pickl AI

DECEMBER 4, 2024

Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Focus on Python and R for Data Analysis, along with SQL for database management. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

AUGUST 9, 2024

Variety It encompasses the different types of data, including structured data (like databases), semi-structured data (like XML), and unstructured formats (such as text, images, and videos). Understanding the differences between SQL and NoSQL databases is crucial for students. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Hacker News

JULY 1, 2025

Remote: Open Willing to relocate: Yes Technologies: Java, Scala, Python, Angular, React, Apache Spark, SQL & NoSQL, Dart, Typescript/Javascript, HTML/CSS/SCSS Résumé/CV: https://drive.google.com/file/d/1tNLYIjtH8dgBSMGPbVg3qA0-6q_. Email: hoglan (dot) jd (at) gmail Hello!

Python 54

Python AWS SQL ML 54

phData

MAY 15, 2025

Technologies Involved: Streaming Tools and Platforms: Snowpipe , AWS Kinesis, Apache Kafka, Apache Flink, Google Pub/Sub, etc. Databases & Data Stores: Snowflake, AWS Redshift, Apache Druid, ClickHouse, etc. Processing Engines: AWS Lambda, Apache Spark Streaming, Google Dataflow, etc.

AWS 59

AWS Analytics Analytics Apache Kafka 59