Hadoop is now the lifeline of almost all big data projects. And now with data governance functionality and enterprise level security, there is more support than ever for enterprises to work with Hadoop. Another beautiful thing about this technology is that something new is always coming up – newer, stronger products are always in the offing – and all is easily available in open source.
If you are already onboard the Hadoop bandwagon, here are some of the top trends that you should be following to get the best out of your Hadoop.
- Say yes to Apache Spark and no to MapReduce: It is far easier to program in Spark than in MapR. And for the same reason, almost 70% of the people in a study conducted by Syncsort chose Spark. Spark supports Java, Python, and Scala; MapR supports only Java. Spark can do what MapR does, i.e., map and reduce, and has other functions like Group-by, Filter and Join which MapR doesn’t. Thus, there are more ways in Spark to express how you want your data processed, which gives you more options and leads to less efforts. With Spark, you can write in four lines of code what would need hundred lines in MapR. In a nutshell, Spark is much, much better.
- Switch to Hadoop; dump costly platforms: Platforms like mainframe and traditional ones like data warehouses are expensive. Offloading data from these to Hadoop not only ensures improved business and reduced costs, it also gives better IT agility. Moreover, it frees data from silos, thus making it more readily available for use across different departments of an organization. Apart from that, once the data is in the data lake of Hadoop, advanced analytics tools can be used to extract more comprehensive insights. If you are still working on outdated technology and want to learn Hadoop, there are various Hadoop online training courses in India that you can opt for.
- Use Hadoop for advanced use cases: As the platform is progressing, more and more businesses are beginning to use Hadoop for the big data received from mobile applications and software. They also have begun to prefer Hadoop for their advanced use cases. Many find it the best way to spur innovation using data from sources like the Internet of Things and social media.
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