article thumbnail

Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

article thumbnail

Upgrade your Modern Data Stack

Christophe Blefari

If we summarise the initial modern data stack vision , this is something like: move data with Fivetran store data in Snowflake transform data with dbt visualise with Looker document with a catalog, prevent with data observability, orchestrate So what's left of the original vision of the modern data stack that can be applied in 2023 and beyond?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Reflection On The Data Ecosystem For The Year 2021

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. No more scripts, just SQL.

article thumbnail

Be Confident In Your Data Integration By Quickly Validating Matching Records With data-

Data Engineering Podcast

In this episode they explain how the utility is implemented to run quickly and how you can start using it in your own data workflows to ensure that your data warehouse isn’t missing any records from your source systems. Great Expectations, Soda SQL, etc.) Can you describe how data-diff is implemented?

article thumbnail

Data Exploration For Business Users Powered By Analytics Engineering With Lightdash

Data Engineering Podcast

In this episode Oliver Laslett describes why dashboards aren’t sufficient for business analytics, how Lightdash promotes the work that you are already doing in your data warehouse modeling with dbt, and how they are focusing on bridging the divide between data teams and business teams and the requirements that they have for data workflows.

article thumbnail

Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data

Data Engineering Podcast

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs. No more scripts, just SQL.

Metadata 100
article thumbnail

Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Develop predictive models and data-driven solutions to address business challenges.