Translating your SQL Skills to Hadoop

Hadoop jobs have grown 200,000%. No, that’s not a typo. According to Indeed.com, Hadoop is one of the top 10 job trends right now.When you look at LinkedIn, the growth in profiles that have SQL in them is on the downswing — about -4%, but the growth of profiles that have Hadoop in them is up 37%. Hadoop is becoming a clear resume differentiator. Updating and maintaining technical skills has always been part of the job and is part of ensuring a long and healthy career. But that can be easier said than done.The need for RDBMS (and other DB) skills is not going away, and Hadoop isn’t a replacement for those systems. Rather it’s an augmentation of those systems for scenarios involving the volumes of data that they can’t efficiently tackle. There’s still a robust market tons of job listings, but not a lot of growth.Does learning Hadoop mean you have to start all over again? No, learning Hadoop is an evolution, not a revolution. While Hadoop may be a hot new technology, if you’re already comfortable with SQL, then learning how to use Hive (one of the key projects within the Hadoop ecosystem) will feel very familiar as it’s syntax and commands are very SQL-like – deliberately so.