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Learn Data Engineering, earn certificates with free online courses from UC Irvine, UC Berkeley, Duke, Arizona State University and other top universities around the world. Read reviews to decide if a class is right for you.
Explore semi-structured data in BigQuery: ingest JSON, query arrays, troubleshoot datasets, and practice unnesting techniques for efficient data analysis.
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.
Learn to perform operational analytics using Azure Synapse Link, enabling hybrid transactional and analytical processing with Azure Cosmos DB. Explore configuration, querying, and data manipulation techniques for efficient data engineering.
Learn to manage and secure Azure storage solutions, connect apps to Azure Storage, and utilize Blob storage for efficient data handling in cloud environments.
Top questions (with answers) asked in Machine Learning Engineer job interviews. Become top Data Scientist / ML Engineer.
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Learn data engineering techniques for AWS, including data gathering, handling missing data, feature extraction, and selection using PCA and variance thresholds. Gain hands-on experience with SageMaker and AWS migration tools.
Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load data into a database.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will replicate data from a PostgreSQL database to BigQuery.
Learn how to process real time data using Azure stream analytics. Ideal for Beginners
Explore generative AI applications in data engineering, from ETL pipelines to prompt engineering techniques. Learn popular models for text, code, image, audio, and video generation using tools like IBM Watsonx.
Equips leaders to strategically integrate AI, focusing on clear objectives, data engineering, design thinking, and ethical implementation for organizational growth and competitiveness.
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