Apache Spark is an open-source unified analytics engine for large-scale data processing. It is designed to be fast and general-purpose, making it ideal for big data processing tasks such as data preparation, machine learning, and graph processing. In this tutorial, we will cover the basics of working with Spark for Continue Reading
“data engineering”
Building a data pipeline with Azure Databricks
Data pipelines are a critical component in any data-centric organization. It’s essential to have a streamlined process in place that can efficiently and effectively process large volumes of data, transform it into a workable format, and then deliver it to downstream applications for analysis and consumption. One of the best Continue Reading
Introduction to Machine Learning with Python
Machine learning is the process of training a system to predict outcomes without being explicitly programmed. It is a subset of artificial intelligence that allows computers to learn from data without being explicitly programmed. Python is a popular language for machine learning as it has many libraries and tools built Continue Reading
Implementing Azure Data Factory for data integration
Introduction Data integration is the process of combining data from different sources into one unified format. The goal is to create an accurate and consistent view of data that can be shared across an organization. Azure Data Factory is a cloud-based data integration service that helps you create, schedule, and Continue Reading