Statistics for topic apache-spark

Open source platform for the machine learning lifecycle

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All compone...

Code for "Efficient Data Processing in Spark" Course

This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of...

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All compone...

Code for "Efficient Data Processing in Spark" Course

Open source platform for the machine learning lifecycle

This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of...

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Open source platform for the machine learning lifecycle

lakeFS - Data version control for your data lake | Git for data

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All compone...

Fully managed Apache Parquet implementation

Spark fires is a anti-pattern playground where we deliberately break Spark applications in various ways so you can observe what happens and potentially recognise the issue when you come across it in y...

PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformati...

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All compone...

Code for "Efficient Data Processing in Spark" Course

Fully managed Apache Parquet implementation

Open source platform for the machine learning lifecycle

lakeFS - Data version control for your data lake | Git for data

Fully managed Apache Parquet implementation

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

Performance Observability for Apache Spark

Spark fires is a anti-pattern playground where we deliberately break Spark applications in various ways so you can observe what happens and potentially recognise the issue when you come across it in y...

PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformati...

This repository contains the code for a realtime election voting system. The system is built using Python, Kafka, Spark Streaming, Postgres and Streamlit. The system is built using Docker Compose to e...

Performance Observability for Apache Spark

Code for "Efficient Data Processing in Spark" Course

Code for "Efficient Data Processing in Spark" Course

Spark fires is a anti-pattern playground where we deliberately break Spark applications in various ways so you can observe what happens and potentially recognise the issue when you come across it in y...

This project shows how to capture changes from postgres database and stream them into kafka

This repository contains the code for a realtime election voting system. The system is built using Python, Kafka, Spark Streaming, Postgres and Streamlit. The system is built using Docker Compose to e...

Open source platform for the machine learning lifecycle

lakeFS - Data version control for your data lake | Git for data

SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

Code for "Efficient Data Processing in Spark" Course

Code for "Efficient Data Processing in Spark" Course

Performance Observability for Apache Spark

PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformati...

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All compone...

⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.