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Data Pipelines

Cox Automotive Runs Robust Pipelines on Databricks with Unravel

Cox Automotive is a large, global business. It’s part of Cox Enterprises, a media conglomerate with a strong position in the Fortune 500, and a leader in diversity. Cox also has a strong history of technological innovation, with its core cable television business serving as a leader in the growth and democratization of media over the last several decades.

ClouderaNow 21 - Automate Data Enrichment Pipelines

See this demo of Cloudera Data Engineering which builds upon Apache Spark and allows us to load, transform, and enrich our datasets and has built-in workload orchestration to automate these pipelines at scale. The demo will also illustrate how easy it is to go from streaming to enrichment and data pipeline automation all in an end-to-end data platform.

How Do Data Pipelines Fit Into Your Data Stack?

The amount of big data generated around the world by the time you finish this page is limitless. Think about it for a second. Companies everywhere will create an innumerable amount of data right now — customer records, sales orders, chain reports, emails, you name it. Companies need all this data for data analytics — the science of modeling raw data to uncover precious real-time insights about their business. It's like opening a treasure trove.

Using Chartio with Xplenty Part 1: Setting Up Your Pipelines

Xplenty provides features to efficiently extract, transform, and store data from various sources. Chartio provides Visual SQL features that let us explore and analyze data. Furthermore, it includes functionality to arrange charts and metrics in dashboards that can be shared. Both these tools can be used synergically. In this post, we will cover how you to configured Xplenty to use Chartio data. In a subsequent post, we will explain how to visualize the data provided by Xplenty in Chartio.