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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

We just announced the general availability of Cloudera DataFlow Designer, bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post, we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Insights Ready Data To Move the World

The data we generate, store, and share is growing exponentially as the world inexorably digitizes. With the global data sphere expected to double in size by 2026 as organizations and consumers increasingly go online, automate, and digitize processes, the right tools are required to mine this massive trove of valuable data coming from a widening and diverse pool of sources globally. The competitive edge gained by rapidly converting complex data into business insights is a crucial growth driver.

Understanding the Context of Data

Today, the internet is full of articles covering Web 3.0, aka the Semantic Web, almost as if it were new innovation. Jack Berkowitz, CDO of ADP, has decades of data experience, and feels there are two things that must be true in this field. First, data has to be leveraged to benefit the business. Second, the data has to have integrity. Without either of these elements to drive purpose and context, companies are just looking at fancy graphs and spreadsheets.