Waitingforcode

JANUARY 5, 2025

Even though I was blogging less in the second half of the previous year, the retrospective is still the blog post I'm waiting for each year. Every year I summarize what happened in the past 12 months and share with you my future plans. It's time for the 2024 Edition!

IT 130

IT 130

Cloudyard

JANUARY 5, 2025

Read Time: 4 Minute, 8 Second In the evolving landscape of data sharing, Snowflake offers two primary methods: Direct Share and Private Listing. While both facilitate data sharing, they cater to different needs and scenarios. This blog focuses on Private Listing and Masking Policies for Cross-Region Data Sharing , comparing it with Direct Share and examining how masking policies ensure data privacy in shared environments.

Metadata 52

Metadata Government Utilities Cloud 52

Hevo

JANUARY 5, 2025

The trend of today’s information-driven world is to make decisions based on information. The human resources departments are not left behind in this trend. Integration of HR data has become an important step in smoothing the flow of HR processes, improving the employee experience, and ensuring compliance in a technology-enabled environment.

Data Integration 40

Data Integration Data Technology Process 40

Data Engineering Weekly

JANUARY 5, 2025

Try Fully Managed Apache Airflow for FREE Run Airflow without the hassle and management complexity. Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. For a limited time, new signups will receive a complimentary Airflow Fundamentals Certification exam (normally $150).

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Advertisement

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture