Chapter 13
Hadoop’s Future
WHAT’S IN THIS CHAPTER?
- Learning about current and emerging DSLs for MapReduce
- Learning about faster and more scalable processing changes
- Reviewing security enhancements
- Understanding emerging trends
Hadoop is rapidly evolving. It seems that every week, news items appear telling about new Hadoop distributions being released that offer enhanced functionality, and new open source projects are released that utilize Hadoop. If you look at the JIRA enhancement requests for Hadoop at Apache (some of which were discussed in Chapter 10), you will see that the Hadoop of tomorrow will have much more functionality.
Over the past few years, new Domain Specific Languages (DSLs) have been developed for the simplification of Hadoop MapReduce programming, and this is a growth area of Hadoop — especially in the area of graph processing. Real-time Hadoop (as discussed at length in Chapter 9) is a growing trend that is here today, and something that will continue to grow in the future. As mentioned in Chapters 10 and 12, security is something that will continue to change and evolve. Although this book has touched on many of the things that will change and will continue to grow into the future, you should know about some additional areas covered in this chapter.
This chapter begins by highlighting the current trends of simplifying MapReduce programming with the use of DSLs. This approach typically shortens code development by operating on higher-level concepts suitable ...
Get Professional Hadoop Solutions 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.
