Technologists, what skills should you be upgrading?
The ever evolving technology market is not only moving more into a shared open-source world, but one that allows people to contribute, edit and create. It's becoming more and more common to see technologies at the peak of discussion one day and disregarded the next. Technologists spend their careers learning, training and keeping up with times- hence it's one of the most challenging industries out there.
I was reading some data gathered by Dice the IT Job Board, it concluded that 80,000+ tech jobs between April 2015- 2016 included technologies that were not present in the skills listed in previous years, with an average salary of £75,000
Some of the hottest technologies are listed below;
Salesforce
Cassandra Cassandra is a special kind of database called a NoSQL, which is part of the big-data trend. NoSQL databases can handle massive amounts of data, spread across cheaper, low-end servers. Cassandra was born at Facebook, but the company released it as a free and open-source project, and today it is used at companies including; Apple, Comcast, Instagram, Spotify, eBay, Rackspace, and Netflix use it.
Hive Hive is another skill in high demand as part of the big-data phenomenon, particularly a big-data tech called Hadoop. Hadoop is software to store all kinds of data across many low-cost computer servers. Hive provides a way to extract information from Hadoop using the same kind of traditional methods used by regular databases- it gives Hadoop a database-query interface.
MongoDB MongoDB is a document oriented, open-source, NoSQL database that has made the integration of data in certain types of application easier and faster. It’s becoming very popular within the open source community, as of 2015 is the fourth most popular DBMS and it’s currently the most popular for document store.
Cloud Computing Enterprises are increasingly using shared, rented computer servers, software, and storage accessed over the internet from companies like; Amazon, Microsoft and Google.
The concept called cloud computing, named because, once upon a time, diagram-drawing tools used a picture of a "cloud" as the icon to represent the internet.People who have skills working with cloud computing are in high demand these days.
JIRA Born from Atlassian software, JIRA began life as a bug-tracking tool for programmers, but has since grown into project-management software for IT people and others used by over 35,000 companies. With fast analysis and quick development lifecycles becoming the norm, JIRA is been adopted aggressively across technology teams, particularly those who use tech to drive business and revenue.
Big Data Big data is the brush stroke phrase for a long list of technologies that provide companies a cost efficient way to store massive amounts of information from all sorts of sources. Companies can then sift through it all to find insights. Companies are looking for expertise in setting up these systems, managing them, running them, analysing the data, and choosing which technology to then deploy for which big-data project.
Salesforce
Salesforce is a cloud-software company best known for its "customer relationship management" (CRM) software. This software lets a company keep track of customers, prospects, and all sorts of interactions.
But Salesforce has now become a giant ecosystem of other add-on software products that work with CRM, each of which requires special skill set in working with and managing Salesforce systems.
Azure Azure is Microsoft's cloud-computing service, most large corporates use Microsoft's software, and they have made it really easy for these customers to use its "cloud for everything" from securing their mobile devices to hosting their apps.
Consequently, IT professionals who know how to use Azure are increasingly in demand. Microsoft has bet its future on being a kingpin of the cloud-computing market- so watch this space!
Spark Spark is another big-data technology associated with Hadoop, a newer way to sift through the data to find answers. Its claim to fame is that it crunches through the information faster than the traditional method, known as MapReduce. Last year (2015), IBM announced that it was investing $300 million to help develop this free and open-source technology, calling it "the most significant open source project of the next decade." Spark's creator, Matei Zaharia, has cofounded a hot start-up, Databricks- which provides a commercial version of Spark- watch out for this also!
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I know some of these you would have heard of, some of these you may have had some hands on experience with, but in light of this survey and clear growing demand for data driven technologists (which is proving a rarer skill set) it maybe worth considering...
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