Data Engineering With Python provides a solid overview of pipelining and database connections for those tasked with processing both batch and stream data flows. Not only for the data miners, this book will be useful as well in a CI/CD environment using Kafka and Spark. It’s very readable ...
Anyone who is new to data engineering and wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most ...
datameetupdata-engineeringdata-managementdata-engineerdata-architecturedeordie UpdatedJan 6, 2024 Jupyter Notebook ortizfram/datacamp-Data-Engineer-with-Python-course Star50 Code Issues Pull requests datacamp Data Engineer with Python course. 73 hours/ 19 Courses /2 Skill Assessments ...
Data Engineering for HPC with Python.Vibhatha AbeykoonNiranda PereraChathura WidanageSupun KamburugamuveThejaka Amila KanewalaHasara MaithreePulasthi WickramasingheAhmet UyarGeoffrey Fox
Using your Microsoft Azure subscription, I’ll present examples of solving machine learning (ML) problems with Spark, taking a small step from software engineering into the data science world. But before I dive into data analysis and ML, it’s important to say a few words ab...
Synapse Notebooks enable you to harness the power of Apache Spark to explore and analyze data, conduct data engineering tasks, and do data science. Authentication and authorization with linked services, such as the primary data lake storage account, are fully integrated,...
engineering tasks due to its flexibility, ease of use, and rich ecosystem of libraries and tools. In this article, we’ll delve into the world of data engineering with Python, discuss how it’s being used, and share some of its most popular libraries and use cases fordata engineering. ...
The Specialization features a capstone project focused on using Databricks’ API to replicate an existing project. This provides hands-on experience working with Databricks to build a portfolio-ready data solution. You will apply Python to a variety of data engineering tasks. ...
The Professional Data Engineer exam is the industry-standard exam that proves the candidate’s ability to do data-driven decision-making by assembling, transforming, and publishing data. If you are rooting for a career in data engineering, you should take this test. It will lead you to attain...
Prefect Cloud provides workflow orchestration for the modern data enterprise. By automating over 200 million data tasks monthly, Prefect empowers diverse organizations — from Fortune 50 leaders such as Progressive Insurance to innovative disruptors such as Cash App — to increase engineering productivity...