Remove Blog Remove Database-centric Remove Engineering Remove Pipeline-centric
article thumbnail

Data Engineering Weekly #161

Data Engineering Weekly

There will be food, networking, and real-world talks around data engineering. This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards.

article thumbnail

Data Engineering Weekly #137

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. So, let's shape the future of Data Engineering together. See how it works today.

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 summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing. The top-line result was that 97% of data engineers are feeling burnout.

article thumbnail

The Rise of the Data Engineer

Maxime Beauchemin

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. We were data engineers! Data Engineering? At the same time, data engineering was the slightly younger sibling, but it was going through something similar. I wasn’t promoted or assigned to this new role.

article thumbnail

The Rise of Unstructured Data

Cloudera

This blog discusses quantifications, types, and implications of data. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Now let’s explore some of the challenges that copious amounts of data bring to the AI, business, and engineering communities.

article thumbnail

Data Lineage Tools: Key Capabilities and 5 Notable Solutions

Databand.ai

Learn more in our detailed guide to data lineage visualization (coming soon) Integration with Multiple Data Sources Data lineage tools are designed to integrate with a wide range of data sources, including databases, data warehouses, and cloud-based data platforms. One of the unique features of Atlan is its human-centric design.

article thumbnail

Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

The typical pharmaceutical organization faces many challenges which slow down the data team: Raw, barely integrated data sets require engineers to perform manual , repetitive, error-prone work to create analyst-ready data sets. One data engineer called it the “last mile problem.” . The bottom line is how to attain analytic agility?

Process 98