"You have to touch your data, engineer it, be aware of it, and iterate on it..."
"SQL is the number one skill in almost half of job postings for data engineers."
"After watching this complete end-to-end data project video you'll be having a clear understanding about how to use different Azure resources to build your data engineering project."
"What do you actually need to know to be a successful data engineer?"
"Understanding common data engineering patterns is extremely useful."
"You know, I think right tool for the right job. Delta Lake does integrate deeply with Spark DataFrames, and personally, I find that to be a very powerful tool for doing transformations."
"There is no such thing as a perfect tool in data engineering, only good use cases for something that you're trying to build."
"With Cosmos, you have the full observability on your DBT project directly in airflow."
"One of the banks in the US saw a boost in productivity when their data engineering team used the AI assistant."
"The best data engineering platform is a Lakehouse."
"In Foundry you absolutely do not [need to be a data engineer] and you can build really robust things like full-blown line of business applications that do stuff and actually ship value."
"Passionate about data engineering? Today's video is just for you."
"Big Data engineers can earn up to $121,000 to $251,000 per annum."
"We need to reimagine how we can effectively perform data engineering at scale, using technologies like ELT and managed frameworks."
"The Delta Standalone project is an independent implementation that can read and write the Delta log files, providing underpinning support for various connectors."
"DBT is basically a command line tool that enables data analysts and engineers to transform data in their warehouses more effectively."
"DBT makes transforming data simpler and faster and can make data engineering activities accessible to data analysts."
"You no longer need data engineers to handle this plumbing."
"We're going to create our first data pipeline in Azure Synapse Analytics."
"In my professional time, I'm a data engineer, so anything that has to do with a lot of data and making cool software excites me."
"We thought it was the perfect time to write the book, so we're very close to the end of writing the book Data Pipelines with Apache Airflow."
"We will have another session next week about simplifying scaling data engineering pipelines with Delta Lake."
"A data engineer is a conductor that ensures that data from many different sources comes together gracefully in a symphony that is clean, error-free, and computationally efficient."
"Data engineering is the practice of designing and building systems for collecting, for storing, and analyzing data at scale."
"You need to have a pretty deep understanding of SQL if you're going to become a data engineer."
"You'll be the mastermind behind assembling large datasets, designing infrastructures for optimal data delivery, and building analytical tools that provide actionable insights."
"If you've been a data engineer anytime in the last five to ten years, odds are you've worked with JSON data."
"Recently I wrote this blog post called 'The Rise of the Data Engineer' that's on Medium."
"We learned what Apache Airflow is, the tool to build, schedule, and monitor data pipelines."
"Data engineering as a career is booming and there are so many high-paying jobs available."
"Storytelling is another one that I think is kind of underrated in data engineering."
"The cloud is going to make things easier and easier and easier for data engineering."
"We try to make DLT as a one-stop shop for data engineers."
"I would call it a One-Stop shop for data engineers looking to load data."
"By the end of this workshop, you'll be able to write data pipelines like a senior data engineer: quickly, concisely, scalable, and self-maintaining."
"The main responsibility of data engineers is to coordinate work across various systems."
"Lake Formation is a fully managed service that enables data engineers, data stewards, and data analysts to build clean and secure data lakes in days instead of months."
"We also know that we have our model engineers, our data engineers, that are building these really, really beautiful, really useful, but very, very complex data models."
"Data scientists are not data engineers; data engineers are not data scientists."
"I like the data engineering part the best because it allows me to really impact what predictive stuff we can do and what questions we can answer."
"Being as a data engineer, you will be writing more and more expressions, creating more and more pipelines on the data transformation part."
"Our data engineering team is leaner, it's faster, it's got some upgrades, have some new reporting capabilities."
"The dream of a data engineer is to build a single pipeline that does both streaming and batch with full reliability, full fault tolerance, and full concurrency and performance."
"The main roles and responsibilities of a data engineer is to develop, test, and maintain data architectures to keep data accessible and ready for analysis."
"The main roles and responsibilities of a data engineer are to develop, test, and maintain data architectures to keep data accessible and ready for analysis."
"With BigQuery, we provide a complete data suite with best-in-class capabilities for data engineering, data science, and analytics across all of your data."