Summary
In this chapter, we explored most of the widely used visualization tools and techniques supported on Spark in a big data setup. We explained some of the techniques with code snippets for better understanding of visualization needs at different stages of the data analytics life cycle. We also saw how business requirements are satisfied with proper visualization techniques by addressing the challenges of big data.
The next chapter is the culmination of all the concepts explained till now . We will walk through the Complete Data Analysis Life Cycle through an example dataset.
Get Spark for Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
