In this tutorial, we will walk you through some of the basics of using Kafka and Spark to ingest data.
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We (Tom, a Machine Learning practitioner, and Drew, a professional Statistician) have worked together for several years. We believe we have an understanding of the role of each field within data science, which we attempt to articulate here.
Most companies are still trying to figure out how their data leaders can make a real impact in a short time frame. Here are some FAQ for CDOs.
Regardless of industry, size, maturity, or a variety of other organizational factors, CDOs are converging around some core ideas of what their role is—and what that means for their mission.
Making fuller use of the data you already have often allows you to derive the insights that can fundamentally change your business. Our Data Dialogues series can teach you how.
We believe CDOs have 100 days to get this digital transformation rolling downhill and towards a successful conclusion. If the basic building blocks aren’t in place and moving towards real progress by then, there is trouble ahead.
By far the most difficult thing in being data-driven is getting the right data in the first place.
As well as developing familiarity with AI techniques, practitioners must choose their technology platforms wisely.