Topic "Data Engineering"

The Rise of Big Data Engineering in 2020: Cloud, AI & Analytics Success

What is data engineering? Data engineering enables data users across the enterprise with clean, quality data they can trust, so they can drive better business insights and actions. Data engineering is the result of technology disruption in what we used to call big data. Overall, the industry is moving toward data management environments that deliver... more

What You Should Know About Serverless

Serverless is a cloud architecture that allows you to be free of managing servers, virtual machines (VMs), or containers. Serverless does not mean there are no servers involved (servers are still used for running applications). It simply means that you do not have to interact with or control the servers involved in the architecture. Serverless... more

How to go Hadoop-less with Informatica Data Engineering and Databricks

This blog was co-authored by Nauman Fakhar, Director of ISV Solutions at Databricks. Apache Hadoop was born as an on-premises platform. Most of the use cases for early commercial Hadoop vendors focused on on-premises implementations of the open source data analytics platform. Eventually, Hadoop-as-a-Service—meaning Hadoop running in the cloud became increasingly popular. However, the Hadoop-as-a-Service... more