Ep 2 – Unifying Spark Ecosystems with Flex Code Data Connectors
In this episode, we sat down to chat about Ascend’s new Flex Code data connectors and how they will help organizations speed—and simplify—data ingest for Spark-based data systems.
GigaOm Webinar | Data Pipeline Automation & Dynamic Intelligence
Data pipelines are a reality for most organizations but they can be operationally brittle. However, it doesn’t have to be that way. Advances in machine learning can take pipeline automation […]
How-to: Redshift Data Ingest & ETL with Ascend.io
This How-to will provide you with an overview of how to ingest data into Redshift by building a production pipeline that automatically keeps data up to date, retries failures, and notifies upon any irrecoverable issues.
How-to: Snowflake Data Ingest & ETL with Ascend.io
This How-to will provide you with an overview of how to ingest data into Snowflake by building a production pipeline that automatically keeps data up to date, retries failures, and notifies upon any irrecoverable issues.
Data Lake ETL Tutorial: Transforming Data
This tutorial will give you an overview of the “T” in ETL, namely, how to start transforming your data before you load it into the final destination. We will use SQL in this example, but Ascend also supports Python/PySpark and Scala/Java transformations as well.
Data Lake ETL Tutorial: Using Ascend No- and Low-Code Connectors to Load Data
Now that we’ve extracted some data from S3, cleaned it up using a SQL transform, we can start on the “L” of ETL and write our data back out to our data lake. Follow this guide to learn how.
How HNI Drives Manufacturing Digital Transformation with Data Pipelines
HNI Corporation is a US$2.2B workplace furnishings and hearth provider, with 19 distinct brands and global manufacturing sites. HNI is driving digital transformation of their business with data. Read below on how their decision sciences team continually improves business operations with the use of data, analytics, and machine learning.
Bloor Group Webinar | Beyond Pipelines – The Power of Data Orchestration
The combination of artificial intelligence and data pipelines opens remarkable new opportunities for data orchestration. The end result is a dynamic, automated paradigm for data movement, one that optimizes […]
