The Ascend Blog

Get insights and advice on automating repetitive data engineering, optimizing data platform costs, and accelerating data initiatives at your company.

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Generative AI

The Chief AI Officer: Avoid The Trap of Conway’s Law

Explore the crucial role of the Chief AI Officer (CAIO) in guiding businesses through AI's transformative impact and avoiding Conway's law pitfalls.

Michael Leppitsch

November 14, 2023

Data Automation

Data Pipeline Automation: The What, How, and Why

What is Data Pipeline Automation? Discover its fundamentals, how it works, and why we need it to produce business value from data programs.

Michael Leppitsch

November 10, 2023

Data Engineering 101

The State of Data Engineering in 2023: Does Your Data Program Stack Up?

Explore 2023 DataAware Pulse findings: Key insights to refine your data team's strategies and boost competitiveness.

Paul Lacey

October 25, 2023

Snowflake

Snowflake Cost Optimization: Understanding Your Spending and Tactics to Keep It in Check

Master Snowflake cost optimization: understand your spending and how to harness data pipelines for cost control to amplify value for every dollar.

Michael Leppitsch

October 20, 2023

Data Automation

Automating Data: Practical Steps and Real-World Examples

Explore the intricacies of automating data: from practical steps and common challenges to real-world success stories in diverse industries.

Paul Lacey

October 12, 2023

Snowflake

How to Use Snowpark in Two Steps

Explore Snowpark's process from setup to advanced deployment. Discover how Ascend simplifies this detailed journey for data engineers.

Jon Osborn

October 4, 2023

Data Engineering 101

The Case for Automated ETL Pipelines

Explore the transformative power of automated ETL pipelines in modern data engineering. Dive into benefits, features, and their strategic edge.

Paul Lacey

September 19, 2023

Data Engineering 101

Python for Data Engineering

Learn why Python for data engineering is the first choice for experts, its benefits, and how it's used in real-world applications.

Jon Osborn

September 14, 2023

Data Engineering 101

Zero ETL: What’s Behind the Hype?

Discover why Zero ETL might not live up to the hype. Exploring its rise, benefits, and deeper implications in the data landscape.

Paul Lacey

September 12, 2023

Snowflake

Snowflake Snowpark: Overview, Benefits, and How to Harness Its Power

Explore Snowflake Snowpark: what it is, its breakthrough features, impact on developers, and optimization tips.

Jon Osborn

September 5, 2023

Data Engineering 101

Moving Past ETL and ELT: Understanding the EtLT Approach

Explore the evolution from ETL and ELT to the dynamic EtLT approach, highlighting the shift towards continuous data refinement in modern data operations.

Michael Leppitsch

August 31, 2023

Data Engineering 101

End-to-End Data Pipelines: Hitting Home Runs in Data Strategy

Learn what end-to-end data pipelines are and why they're crucial for data teams aiming for efficiency and success.

Jon Osborn

August 29, 2023

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