Want to boost your salary? Learn Scala, Golang, or Python

Want to boost your salary? Learn Scala, Golang, or Python

Want a pay boost? Pick up a new skill.

Which one? Go, Scala, and big data skills like Apache Spark and Hadoop are all good places to start, according to PayScale, a salary-tracking site for IT and other industries. PayScale used its pay-tracking database to determine which job skills provide the largest average boost in pay, and presented the results in its 2016 Workforce-Skills Preparedness Report, “Leveling Up: How to Win in the Skills Economy.”

Go and Scala help bring it on home

It’s no surprise that IT skills were among the most highly valued; that’s been consistently true, even during the economy’s rockier years. Of the 25 skills ranked by PayScale that provide an average pay raise of 11.4 percent or better, all but two of the top 10 were IT skills.

The biggest winner, which delivers an average pay jump of 22.2 percent, was Scala, the functional language that runs on the Java Virtual Machine and is being retooled to run more directly on its host hardware.

SQL Server 2016 heads for release, but Linux version is still under wraps

SQL Server 2016 heads for release, but Linux version is still under wraps

SQL Server 2016, Microsoft’s newest database software, is set to become available on June 1 along with a no-cost, developers-only version.

With its new features and revised product editions, Microsoft is determined to expand SQL Server appeal to the largest possible number of customers running in a range of environments. But there’s still no word on the promised SQL Server for Linux, a version of the popular database that Microsoft is hoping will open SQL Server to an entirely new audience.

A broader SQL Server market awaits

Much of what’s new in SQL Server 2016 is aimed at roughly two classes of users: those doing their data collection and storage in the cloud (or moving to the cloud) and those doing analytics work that benefits from being performed in-memory. Features like Stretch Database will appeal to the former, as SQL Server tables can be expanded incrementally into Microsoft Azure — a more appealing option than a disruptive all-or-nothing migration.

Big data features include expanded capabilities for the Hekaton in-memory functions introduced in SQL Server 2014, plus in-memory columnstore functions for real-time analytics. And SQL Server’s close integration with the R language tools that Microsoft recently acquired opens up the database to a range of new applications from a thriving software ecosystem.

6 Splunk alternatives for log analysis

6 Splunk alternatives for log analysis

Quick! Name a log analysis service. If the first word that popped out of your mouth was “Splunk,” you’re far from alone.

But Splunk’s success has spurred many others to up their log-analysis game, whether open source or commercial. Here are six contenders that have a lot to offer sys admins and devops folks alike.

ELK/Logstash (open source)

Splunk faces heavy competition from the family of projects that use the ELK stack: Elasticsearch for search, Logstash for data collection, and Kibana for data visualization. All are open source.

Elasticsearch, the company that handles commercial development of the stack, provides all the pieces either as cloud services or as free, open source offerings with support subscriptions. They provide the best alternative to Splunk when used together, since Splunk’s strength is in searching and reporting as well as data collection.