The average technology salary in the U.S. leapt 7.7 percent in 2015, according to the latest Dice Salary Survey. But which technologies and skillsets drew the highest payouts? Short answer: anything to do with data-wrangling.
Dice’s data suggests that, if you specialize in storage, data analytics, or database management, you can expect to earn a hefty paycheck. Scan the following list and see how the various skillsets performed:
2015 Salary: $154,749
SAP’s biggest rivals, including Oracle and IBM, have their own in-memory offerings; more startups are also pushing into database software, making the market extra-complicated for SAP as it attempts to stand out.
2015 Salary: $147,811
Cassandra has long hovered near the top of highest-paying analytics technologies, outpacing the likes of MapReduce and Cloudera in some surveys.
From a tech-pro perspective, Cassandra provides quite a bit of utility; the open-source database-management system can wrangle data across multiple servers and datacenters, all with low latency. The platform’s popularity has rapidly increased over the past few years, as more database administrators rely on it to rapidly scale their data needs.
2015 Salary: $142,835
Cloudera (the software company) offers software and services based on Apache Hadoop, including its own Hadoop distribution, CDH. For those who don’t know, Apache Hadoop is an open-source framework that allows tech pros to run data applications on large hardware clusters; as its popularity has increased over the past few years, several companies have stepped forward with unique Hadoop distributions to serve specialized tech audiences.
2015 Salary: $140,894
PAAS stands for Platform-as-a-Service. In contrast to SAAS (Software-as-a-Service) or IAAS (Infrastructure-as-a-Service), PAAS revolves around the cloud-based deployment of applications and/or services without the need to build out a datacenter or buy localized software. As more and more businesses migrate to the cloud, PAAS and other services become exponentially more important.
Up Next: OpenStack, CloudStack, Chef, Pig (click below)