Analytics Vidhya

JUNE 25, 2023

In a data-driven world, behind-the-scenes heroes like data engineers play a crucial role in ensuring smooth data flow. Imagine being an online shopper who suddenly receives irrelevant recommendations. A data engineer investigates the issue, identifies a glitch in the e-commerce platform’s data funnel, and swiftly implements seamless data pipelines.

Data Engineering 220

Data Engineering Data Engineer Engineering Data Pipeline 220

Zalando Engineering

JUNE 25, 2023

In 2022 we developed a unique partner experience that speaks to dedicated requirements from selective distribution brands and retailers around visual representation, brand storytelling and protecting brand equity. Our solution provides dedicated brand exposure across the experience and at the same time respects special requirements to secure brand equity.

Retail 58

Retail Architecture Engineering Systems 58

Data Engineering Weekly

JUNE 25, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. A16Z: Emerging Architectures for LLM Applications LLM is slowly hitting the enterprise architecture, and every company is looking to see how they can adopt LLM with their private data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Preset

JUNE 25, 2023

Learn how you can connect your Preset workspaces to dbt Cloud.

Cloud 52

Cloud 52

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

Data Engineering Podcast

JUNE 25, 2023

Summary Data transformation is a key activity for all of the organizational roles that interact with data. Because of its importance and outsized impact on what is possible for downstream data consumers it is critical that everyone is able to collaborate seamlessly. SQLMesh was designed as a unifying tool that is simple to work with but powerful enough for large-scale transformations and complex projects.

Data Engineering 225

Data Engineering Data Engineer Python Engineering 225