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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Data Engineering 101

Gartner Report: 5 Ways to Enhance Your Data Engineering Practices

How to build a data strategy focus on the best-of-breed outcome? Discover the five differentiating traits among successful data engineering teams.

Ascend.io

February 21, 2023

The Ascend Platform

Ascend Spotlight: Stop Data Problems in Real-Time

Problems in data are often detected too late. The beauty of the Ascend data quality features is that they are focused on action. Learn more!

Michael Leppitsch

February 20, 2023

Impact Engineering

Evolution of the Cloud Data Platform: From Google to Ascend

Sean Knapp explores the evolution of the cloud data platform from his time at Google to Ascend to understand what’s happening in the data world today.

Sean Knapp

February 15, 2023

Data Products

Benefits of the Data Product Approach

Are you looking to invigorate your business users with data they can quickly turn into real business value? Discover the five key benefits of the data product approach.

Michael Leppitsch

February 12, 2023

The Ascend Platform

Link Multiple Data Clouds to Ascend

Starting this week, you can direct workloads for each individual Data Service to Databricks, BigQuery, and Snowflake.

Michael Leppitsch

February 6, 2023

The Ascend Platform

New Data Plane Usage Report, plus Databricks Merge

This week, let’s highlight two key capabilities that enhance your intelligent data pipelines: data plane usage report and Databricks merge.

Michael Leppitsch

January 26, 2023

Team Ascend

What It Means to Create an Award-Winning Workplace

Jenny Hurn, our People Experience champion, dives into what makes Ascend one of the best places to work and shares what it means to create an award-winning workplace and culture.

Jenny Hurn

January 26, 2023

Data Products

Introducing Data Products to Deliver Better Value from Data

Explore how data products can deliver better value from data to end users in more useful and approachable ways.

Michael Leppitsch

January 3, 2023

Data Engineering 101

Reverse ETL to Fuel Future Actions with Data

Discover how reverse ETL empowers teams across the business to operationalize their data, rather than keeping all data in a centralized silo.

Ascend.io

December 21, 2022

The Ascend Platform

Improved Ascend for Databricks, New Lineage Visualization, and Better Incremental Data Ingestion

This week, we released an upgrade to run on the latest Databricks APIs, and added features to ease getting data into Databricks.

Michael Leppitsch

December 19, 2022

Data Engineering 101

ETL vs ELT: Comprehensive Guide to Their Differences, Evolution, & Use Cases

ETL vs ELT: Explore the key differences, trace their evolution, and learn specific use cases to determine which one is best for you.

Jon Osborn

December 14, 2022

Data Engineering 101

Data Migration: Types, Process, and Successful Strategies

Data migration is a common undertaking for data teams. Yet, many underestimate the process. Discover how to keep from making the same mistake.

Ascend.io

December 1, 2022

Data Engineering 101

Data Pipeline Basics: From Raw Data to Actionable Insights

Unlock actionable insights and drive business growth with efficient, automated data pipelines. Explore the basics, challenges, and new approaches.

Michael Leppitsch

November 22, 2022

Data Engineering 101

What is ETL? – (Extract, Transform, Load)

Explore the ETL process, its importance, the transformation to ELT, and the tools needed to consolidate and analyze data effectively.

Paul Lacey

November 14, 2022

Data Products, The Ascend Platform

How Ascend Ingestion Accelerates Data Product Delivery

Discover how Ascend ingestion is fully integrated within the entire Data Automation platform and produces time and cost savings at scale.

Michael Leppitsch

November 8, 2022

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