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

Knowledge Hut

They use Azure Synapse Analytics (previously, Azure SQL Data Warehouse) for developing scalable and high-performance data warehousing solutions. Role Level: Intermediate Responsibilities Design and develop data warehouse schemas, tables, and indexes using Azure Synapse Analytics.

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Data Catalog - A Broken Promise

Data Engineering Weekly

Data catalogs are the most expensive data integration systems you never intended to build. Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. How happy are you with your data catalogs?

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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.

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A Reflection On The Data Ecosystem For The Year 2021

Data Engineering Podcast

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Hightouch is the easiest way to sync data into the platforms that your business teams rely on.

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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

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Understanding The Immune System With Data At ImmunAI

Data Engineering Podcast

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first.

Systems 100
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The Grand Vision And Present Reality of DataOps

Data Engineering Podcast

Summary The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the DevOps movement of the past decade data professionals are orienting around the concept of DataOps. RudderStack’s smart customer data pipeline is warehouse-first.